Pandas_Operations.ipynb

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    "colab": {
      "name": "Pandas Operations.ipynb",
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Shuaib11-Github/shuaib/blob/master/Pandas_Operations.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "h5bu8F_ik1RN"
      },
      "source": [
        "## **Yesterday, we learnt a little about the very useful library Pandas widely used for Data Analysis. It is time to put the many utilities of this library in front of our eyes. We will be performing following manipulations and exploration of our data:**\n",
        "\n",
        "* ### Indexing and slicing operations\n",
        "* ### Manipulating columns\n",
        "* ### Exploring unique and missing values\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6Qol62pjk1RO"
      },
      "source": [
        "# Import pandas package\n",
        "import pandas as pd\n",
        "import numpy as np"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qAOV1VbS1c0o",
        "outputId": "a342c4b0-f7dd-444a-a2ce-bdf9f0162166"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FgebV-aJVu7m"
      },
      "source": [
        "## Let us read our data first"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pzqZda7Ik1Rh"
      },
      "source": [
        "# loading csv File\n",
        "file_path = '/content/drive/MyDrive/AlmaBetter/Cohort Nilgiri/Module 1/Week 3/Day 3/imdb_data.csv'\n",
        "df=pd.read_csv(file_path)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
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        "id": "LCnLQdPIk1Rk",
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        "outputId": "75b5fb38-4baa-44fd-ed6a-f095a0bdc4c6"
      },
      "source": [
        "df.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3000, 23)"
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          },
          "metadata": {
            "tags": []
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          "execution_count": 88
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    {
      "cell_type": "code",
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        "id": "-Xcd8c2Tk1Ro",
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          "height": 618
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        "outputId": "76f24b2c-9ecd-4dd6-9dab-3ff53d717443"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
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              "   id  ...   revenue\n",
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              "      <th>2994</th>\n",
              "      <td>2995</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt0105327</td>\n",
              "      <td>en</td>\n",
              "      <td>School Ties</td>\n",
              "      <td>When David Greene receives a football scholars...</td>\n",
              "      <td>7.438381</td>\n",
              "      <td>/poV3j71mcmQkmjezc2H35xJsAhD.jpg</td>\n",
              "      <td>[{'name': 'Paramount Pictures', 'id': 4}]</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>9/18/92</td>\n",
              "      <td>106.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>Just because you’re accepted doesn’t mean you ...</td>\n",
              "      <td>School Ties</td>\n",
              "      <td>[{'id': 6075, 'name': 'sport'}, {'id': 10144, ...</td>\n",
              "      <td>[{'cast_id': 2, 'character': 'David Greene', '...</td>\n",
              "      <td>[{'credit_id': '5637777ac3a3681b4d01f9f5', 'de...</td>\n",
              "      <td>14715067</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2995</th>\n",
              "      <td>2996</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 10749, '...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt0109403</td>\n",
              "      <td>en</td>\n",
              "      <td>Chasers</td>\n",
              "      <td>Military men Rock Reilly and Eddie Devane are ...</td>\n",
              "      <td>9.853270</td>\n",
              "      <td>/j8Q7pQ27hvH54wpxJzIuQgQCdro.jpg</td>\n",
              "      <td>[{'name': 'Warner Bros.', 'id': 6194}, {'name'...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>4/22/94</td>\n",
              "      <td>102.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>It was supposed to be a routine prisoner trans...</td>\n",
              "      <td>Chasers</td>\n",
              "      <td>[{'id': 378, 'name': 'prison'}, {'id': 572, 'n...</td>\n",
              "      <td>[{'cast_id': 2, 'character': 'Rock Reilly', 'c...</td>\n",
              "      <td>[{'credit_id': '52fe4494c3a368484e02ac7d', 'de...</td>\n",
              "      <td>1596687</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2996</th>\n",
              "      <td>2997</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}, {'id': 10402, 'n...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt2364975</td>\n",
              "      <td>sv</td>\n",
              "      <td>Vi är bäst!</td>\n",
              "      <td>Three girls in 1980s Stockholm decide to form ...</td>\n",
              "      <td>3.727996</td>\n",
              "      <td>/sS01LSy6KDrCZAhtkO18UdnWFT1.jpg</td>\n",
              "      <td>[{'name': 'Memfis Film', 'id': 321}, {'name': ...</td>\n",
              "      <td>[{'iso_3166_1': 'DK', 'name': 'Denmark'}, {'is...</td>\n",
              "      <td>3/28/13</td>\n",
              "      <td>102.0</td>\n",
              "      <td>[{'iso_639_1': 'sv', 'name': 'svenska'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>We Are the Best!</td>\n",
              "      <td>[{'id': 1192, 'name': 'sweden'}, {'id': 4470, ...</td>\n",
              "      <td>[{'cast_id': 5, 'character': 'Bobo', 'credit_i...</td>\n",
              "      <td>[{'credit_id': '5716b72ac3a3686678012c84', 'de...</td>\n",
              "      <td>180590</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2997</th>\n",
              "      <td>2998</td>\n",
              "      <td>NaN</td>\n",
              "      <td>65000000</td>\n",
              "      <td>[{'id': 80, 'name': 'Crime'}, {'id': 28, 'name...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt0116908</td>\n",
              "      <td>en</td>\n",
              "      <td>The Long Kiss Goodnight</td>\n",
              "      <td>Samantha Caine, suburban homemaker, is the ide...</td>\n",
              "      <td>14.482345</td>\n",
              "      <td>/4MENR8x6mYqnZvp2hGjSaPJz64J.jpg</td>\n",
              "      <td>[{'name': 'New Line Cinema', 'id': 12}, {'name...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>10/11/96</td>\n",
              "      <td>120.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>What's forgotten is not always gone.</td>\n",
              "      <td>The Long Kiss Goodnight</td>\n",
              "      <td>[{'id': 441, 'name': 'assassination'}, {'id': ...</td>\n",
              "      <td>[{'cast_id': 10, 'character': 'Samantha Caine ...</td>\n",
              "      <td>[{'credit_id': '52fe443a9251416c7502d579', 'de...</td>\n",
              "      <td>89456761</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2998</th>\n",
              "      <td>2999</td>\n",
              "      <td>NaN</td>\n",
              "      <td>42000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 10749, '...</td>\n",
              "      <td>http://www.alongcamepolly.com/</td>\n",
              "      <td>tt0343135</td>\n",
              "      <td>en</td>\n",
              "      <td>Along Came Polly</td>\n",
              "      <td>Reuben Feffer is a guy who's spent his entire ...</td>\n",
              "      <td>15.725542</td>\n",
              "      <td>/nIY4kvJTTnxoBR0wycrXng5MOYs.jpg</td>\n",
              "      <td>[{'name': 'Jersey Films', 'id': 216}, {'name':...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>1/16/04</td>\n",
              "      <td>90.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>For the most cautious man on Earth, life is ab...</td>\n",
              "      <td>Along Came Polly</td>\n",
              "      <td>[{'id': 966, 'name': 'beach'}, {'id': 2676, 'n...</td>\n",
              "      <td>[{'cast_id': 8, 'character': 'Reuben Feffer', ...</td>\n",
              "      <td>[{'credit_id': '556f817b9251410866000a63', 'de...</td>\n",
              "      <td>171963386</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2999</th>\n",
              "      <td>3000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35000000</td>\n",
              "      <td>[{'id': 53, 'name': 'Thriller'}, {'id': 28, 'n...</td>\n",
              "      <td>http://www.abductionthefilm.com/</td>\n",
              "      <td>tt1600195</td>\n",
              "      <td>en</td>\n",
              "      <td>Abduction</td>\n",
              "      <td>A young man sets out to uncover the truth abou...</td>\n",
              "      <td>10.512109</td>\n",
              "      <td>/cUT6NQP5LAJpmUoStGtXmvNt4zA.jpg</td>\n",
              "      <td>[{'name': 'Lions Gate Films', 'id': 35}, {'nam...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>9/22/11</td>\n",
              "      <td>106.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>They stole his life. He's taking it back.</td>\n",
              "      <td>Abduction</td>\n",
              "      <td>[{'id': 591, 'name': 'cia'}, {'id': 822, 'name...</td>\n",
              "      <td>[{'cast_id': 2, 'character': 'Nathan Harper', ...</td>\n",
              "      <td>[{'credit_id': '5391990d0e0a260fb5001629', 'de...</td>\n",
              "      <td>82087155</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        id  ...    revenue\n",
              "2990  2991  ...    7240837\n",
              "2991  2992  ...   91038276\n",
              "2992  2993  ...    1213880\n",
              "2993  2994  ...  219417255\n",
              "2994  2995  ...   14715067\n",
              "2995  2996  ...    1596687\n",
              "2996  2997  ...     180590\n",
              "2997  2998  ...   89456761\n",
              "2998  2999  ...  171963386\n",
              "2999  3000  ...   82087155\n",
              "\n",
              "[10 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 90
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HWp-EWWhk1Rt",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8ed55097-1c5e-42a5-dfd1-26687a0ca1e8"
      },
      "source": [
        "df.info()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 3000 entries, 0 to 2999\n",
            "Data columns (total 23 columns):\n",
            " #   Column                 Non-Null Count  Dtype  \n",
            "---  ------                 --------------  -----  \n",
            " 0   id                     3000 non-null   int64  \n",
            " 1   belongs_to_collection  604 non-null    object \n",
            " 2   budget                 3000 non-null   int64  \n",
            " 3   genres                 2993 non-null   object \n",
            " 4   homepage               946 non-null    object \n",
            " 5   imdb_id                3000 non-null   object \n",
            " 6   original_language      3000 non-null   object \n",
            " 7   original_title         3000 non-null   object \n",
            " 8   overview               2992 non-null   object \n",
            " 9   popularity             3000 non-null   float64\n",
            " 10  poster_path            2999 non-null   object \n",
            " 11  production_companies   2844 non-null   object \n",
            " 12  production_countries   2945 non-null   object \n",
            " 13  release_date           3000 non-null   object \n",
            " 14  runtime                2998 non-null   float64\n",
            " 15  spoken_languages       2980 non-null   object \n",
            " 16  status                 3000 non-null   object \n",
            " 17  tagline                2403 non-null   object \n",
            " 18  title                  3000 non-null   object \n",
            " 19  Keywords               2724 non-null   object \n",
            " 20  cast                   2987 non-null   object \n",
            " 21  crew                   2984 non-null   object \n",
            " 22  revenue                3000 non-null   int64  \n",
            "dtypes: float64(2), int64(3), object(18)\n",
            "memory usage: 539.2+ KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RvGzwowrWmiz"
      },
      "source": [
        "# <u>**<code>describe()</code>**</u>\n",
        "\n",
        "## This method gives the overall descriptive summary of the dataframe. This works only for numerical columns"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OkTYeymAk1Ry",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "outputId": "2c28a7bd-0041-430e-d88f-914e6e93e11a"
      },
      "source": [
        "df.describe() "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>budget</th>\n",
              "      <th>popularity</th>\n",
              "      <th>runtime</th>\n",
              "      <th>revenue</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>3000.000000</td>\n",
              "      <td>3.000000e+03</td>\n",
              "      <td>3000.000000</td>\n",
              "      <td>2998.000000</td>\n",
              "      <td>3.000000e+03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>1500.500000</td>\n",
              "      <td>2.253133e+07</td>\n",
              "      <td>8.463274</td>\n",
              "      <td>107.856571</td>\n",
              "      <td>6.672585e+07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>866.169729</td>\n",
              "      <td>3.702609e+07</td>\n",
              "      <td>12.104000</td>\n",
              "      <td>22.086434</td>\n",
              "      <td>1.375323e+08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000001</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>750.750000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>4.018053</td>\n",
              "      <td>94.000000</td>\n",
              "      <td>2.379808e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>1500.500000</td>\n",
              "      <td>8.000000e+06</td>\n",
              "      <td>7.374861</td>\n",
              "      <td>104.000000</td>\n",
              "      <td>1.680707e+07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2250.250000</td>\n",
              "      <td>2.900000e+07</td>\n",
              "      <td>10.890983</td>\n",
              "      <td>118.000000</td>\n",
              "      <td>6.891920e+07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>3000.000000</td>\n",
              "      <td>3.800000e+08</td>\n",
              "      <td>294.337037</td>\n",
              "      <td>338.000000</td>\n",
              "      <td>1.519558e+09</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                id        budget   popularity      runtime       revenue\n",
              "count  3000.000000  3.000000e+03  3000.000000  2998.000000  3.000000e+03\n",
              "mean   1500.500000  2.253133e+07     8.463274   107.856571  6.672585e+07\n",
              "std     866.169729  3.702609e+07    12.104000    22.086434  1.375323e+08\n",
              "min       1.000000  0.000000e+00     0.000001     0.000000  1.000000e+00\n",
              "25%     750.750000  0.000000e+00     4.018053    94.000000  2.379808e+06\n",
              "50%    1500.500000  8.000000e+06     7.374861   104.000000  1.680707e+07\n",
              "75%    2250.250000  2.900000e+07    10.890983   118.000000  6.891920e+07\n",
              "max    3000.000000  3.800000e+08   294.337037   338.000000  1.519558e+09"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Syu3lo0sXG3u"
      },
      "source": [
        "# <u>**Indexing and Slicing**</u>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": true,
        "id": "PcoQlDvYk1R1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 618
        },
        "outputId": "cd2be742-c956-4631-8874-3363cf92bf8f"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>belongs_to_collection</th>\n",
              "      <th>budget</th>\n",
              "      <th>genres</th>\n",
              "      <th>homepage</th>\n",
              "      <th>imdb_id</th>\n",
              "      <th>original_language</th>\n",
              "      <th>original_title</th>\n",
              "      <th>overview</th>\n",
              "      <th>popularity</th>\n",
              "      <th>poster_path</th>\n",
              "      <th>production_companies</th>\n",
              "      <th>production_countries</th>\n",
              "      <th>release_date</th>\n",
              "      <th>runtime</th>\n",
              "      <th>spoken_languages</th>\n",
              "      <th>status</th>\n",
              "      <th>tagline</th>\n",
              "      <th>title</th>\n",
              "      <th>Keywords</th>\n",
              "      <th>cast</th>\n",
              "      <th>crew</th>\n",
              "      <th>revenue</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>[{'id': 313576, 'name': 'Hot Tub Time Machine ...</td>\n",
              "      <td>14000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt2637294</td>\n",
              "      <td>en</td>\n",
              "      <td>Hot Tub Time Machine 2</td>\n",
              "      <td>When Lou, who has become the \"father of the In...</td>\n",
              "      <td>6.575393</td>\n",
              "      <td>/tQtWuwvMf0hCc2QR2tkolwl7c3c.jpg</td>\n",
              "      <td>[{'name': 'Paramount Pictures', 'id': 4}, {'na...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>2/20/15</td>\n",
              "      <td>93.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The Laws of Space and Time are About to be Vio...</td>\n",
              "      <td>Hot Tub Time Machine 2</td>\n",
              "      <td>[{'id': 4379, 'name': 'time travel'}, {'id': 9...</td>\n",
              "      <td>[{'cast_id': 4, 'character': 'Lou', 'credit_id...</td>\n",
              "      <td>[{'credit_id': '59ac067c92514107af02c8c8', 'de...</td>\n",
              "      <td>12314651</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>[{'id': 107674, 'name': 'The Princess Diaries ...</td>\n",
              "      <td>40000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt0368933</td>\n",
              "      <td>en</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>Mia Thermopolis is now a college graduate and ...</td>\n",
              "      <td>8.248895</td>\n",
              "      <td>/w9Z7A0GHEhIp7etpj0vyKOeU1Wx.jpg</td>\n",
              "      <td>[{'name': 'Walt Disney Pictures', 'id': 2}]</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>8/6/04</td>\n",
              "      <td>113.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>It can take a lifetime to find true love; she'...</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>[{'id': 2505, 'name': 'coronation'}, {'id': 42...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Mia Thermopolis'...</td>\n",
              "      <td>[{'credit_id': '52fe43fe9251416c7502563d', 'de...</td>\n",
              "      <td>95149435</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3300000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}]</td>\n",
              "      <td>http://sonyclassics.com/whiplash/</td>\n",
              "      <td>tt2582802</td>\n",
              "      <td>en</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>Under the direction of a ruthless instructor, ...</td>\n",
              "      <td>64.299990</td>\n",
              "      <td>/lIv1QinFqz4dlp5U4lQ6HaiskOZ.jpg</td>\n",
              "      <td>[{'name': 'Bold Films', 'id': 2266}, {'name': ...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>10/10/14</td>\n",
              "      <td>105.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The road to greatness can take you to the edge.</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>[{'id': 1416, 'name': 'jazz'}, {'id': 1523, 'n...</td>\n",
              "      <td>[{'cast_id': 5, 'character': 'Andrew Neimann',...</td>\n",
              "      <td>[{'credit_id': '54d5356ec3a3683ba0000039', 'de...</td>\n",
              "      <td>13092000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1200000</td>\n",
              "      <td>[{'id': 53, 'name': 'Thriller'}, {'id': 18, 'n...</td>\n",
              "      <td>http://kahaanithefilm.com/</td>\n",
              "      <td>tt1821480</td>\n",
              "      <td>hi</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>Vidya Bagchi (Vidya Balan) arrives in Kolkata ...</td>\n",
              "      <td>3.174936</td>\n",
              "      <td>/aTXRaPrWSinhcmCrcfJK17urp3F.jpg</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'IN', 'name': 'India'}]</td>\n",
              "      <td>3/9/12</td>\n",
              "      <td>122.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>[{'id': 10092, 'name': 'mystery'}, {'id': 1054...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Vidya Bagchi', '...</td>\n",
              "      <td>[{'credit_id': '52fe48779251416c9108d6eb', 'de...</td>\n",
              "      <td>16000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 53, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt1380152</td>\n",
              "      <td>ko</td>\n",
              "      <td>마린보이</td>\n",
              "      <td>Marine Boy is the story of a former national s...</td>\n",
              "      <td>1.148070</td>\n",
              "      <td>/m22s7zvkVFDU9ir56PiiqIEWFdT.jpg</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'KR', 'name': 'South Korea'}]</td>\n",
              "      <td>2/5/09</td>\n",
              "      <td>118.0</td>\n",
              "      <td>[{'iso_639_1': 'ko', 'name': '한국어/조선말'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Marine Boy</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 3, 'character': 'Chun-soo', 'cred...</td>\n",
              "      <td>[{'credit_id': '52fe464b9251416c75073b43', 'de...</td>\n",
              "      <td>3923970</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   id  ...   revenue\n",
              "0   1  ...  12314651\n",
              "1   2  ...  95149435\n",
              "2   3  ...  13092000\n",
              "3   4  ...  16000000\n",
              "4   5  ...   3923970\n",
              "\n",
              "[5 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 93
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "adfqaB91Zxx-"
      },
      "source": [
        "## **<code>iloc</code>** gets rows (or columns) at particular positions in the index (so it only takes integers)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": false,
        "id": "a8Hl8iFck1SB",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 404
        },
        "outputId": "9b0911d1-ba9b-497e-fc86-35b44157f5a4"
      },
      "source": [
        "# Let us get a subset which consists of first 8 rows and first 4 columns\n",
        "df.iloc[:,-3:]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>cast</th>\n",
              "      <th>crew</th>\n",
              "      <th>revenue</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>[{'cast_id': 4, 'character': 'Lou', 'credit_id...</td>\n",
              "      <td>[{'credit_id': '59ac067c92514107af02c8c8', 'de...</td>\n",
              "      <td>12314651</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>[{'cast_id': 1, 'character': 'Mia Thermopolis'...</td>\n",
              "      <td>[{'credit_id': '52fe43fe9251416c7502563d', 'de...</td>\n",
              "      <td>95149435</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>[{'cast_id': 5, 'character': 'Andrew Neimann',...</td>\n",
              "      <td>[{'credit_id': '54d5356ec3a3683ba0000039', 'de...</td>\n",
              "      <td>13092000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>[{'cast_id': 1, 'character': 'Vidya Bagchi', '...</td>\n",
              "      <td>[{'credit_id': '52fe48779251416c9108d6eb', 'de...</td>\n",
              "      <td>16000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>[{'cast_id': 3, 'character': 'Chun-soo', 'cred...</td>\n",
              "      <td>[{'credit_id': '52fe464b9251416c75073b43', 'de...</td>\n",
              "      <td>3923970</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2995</th>\n",
              "      <td>[{'cast_id': 2, 'character': 'Rock Reilly', 'c...</td>\n",
              "      <td>[{'credit_id': '52fe4494c3a368484e02ac7d', 'de...</td>\n",
              "      <td>1596687</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2996</th>\n",
              "      <td>[{'cast_id': 5, 'character': 'Bobo', 'credit_i...</td>\n",
              "      <td>[{'credit_id': '5716b72ac3a3686678012c84', 'de...</td>\n",
              "      <td>180590</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2997</th>\n",
              "      <td>[{'cast_id': 10, 'character': 'Samantha Caine ...</td>\n",
              "      <td>[{'credit_id': '52fe443a9251416c7502d579', 'de...</td>\n",
              "      <td>89456761</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2998</th>\n",
              "      <td>[{'cast_id': 8, 'character': 'Reuben Feffer', ...</td>\n",
              "      <td>[{'credit_id': '556f817b9251410866000a63', 'de...</td>\n",
              "      <td>171963386</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2999</th>\n",
              "      <td>[{'cast_id': 2, 'character': 'Nathan Harper', ...</td>\n",
              "      <td>[{'credit_id': '5391990d0e0a260fb5001629', 'de...</td>\n",
              "      <td>82087155</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3000 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                   cast  ...    revenue\n",
              "0     [{'cast_id': 4, 'character': 'Lou', 'credit_id...  ...   12314651\n",
              "1     [{'cast_id': 1, 'character': 'Mia Thermopolis'...  ...   95149435\n",
              "2     [{'cast_id': 5, 'character': 'Andrew Neimann',...  ...   13092000\n",
              "3     [{'cast_id': 1, 'character': 'Vidya Bagchi', '...  ...   16000000\n",
              "4     [{'cast_id': 3, 'character': 'Chun-soo', 'cred...  ...    3923970\n",
              "...                                                 ...  ...        ...\n",
              "2995  [{'cast_id': 2, 'character': 'Rock Reilly', 'c...  ...    1596687\n",
              "2996  [{'cast_id': 5, 'character': 'Bobo', 'credit_i...  ...     180590\n",
              "2997  [{'cast_id': 10, 'character': 'Samantha Caine ...  ...   89456761\n",
              "2998  [{'cast_id': 8, 'character': 'Reuben Feffer', ...  ...  171963386\n",
              "2999  [{'cast_id': 2, 'character': 'Nathan Harper', ...  ...   82087155\n",
              "\n",
              "[3000 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 97
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bc0JP380aVVW"
      },
      "source": [
        "## **<code>loc</code>** gets rows (or columns) with particular labels from the index."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": true,
        "id": "IBWJqyPBk1R8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 375
        },
        "outputId": "30b24150-6f2d-4ded-f3eb-f0b09aae1fa5"
      },
      "source": [
        "# Now let us subset our dataframe in which we want to have first 8 rows identified with their rows labels and some named columns\n",
        "df.loc[50:60,['budget','genres','runtime']]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>budget</th>\n",
              "      <th>genres</th>\n",
              "      <th>runtime</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>560000</td>\n",
              "      <td>[{'id': 10749, 'name': 'Romance'}, {'id': 18, ...</td>\n",
              "      <td>102.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51</th>\n",
              "      <td>12000000</td>\n",
              "      <td>[{'id': 12, 'name': 'Adventure'}, {'id': 35, '...</td>\n",
              "      <td>160.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 12, 'name': 'Adventure'}, {'id': 10751...</td>\n",
              "      <td>97.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}, {'id': 10751, 'n...</td>\n",
              "      <td>98.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>54</th>\n",
              "      <td>20000000</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}]</td>\n",
              "      <td>107.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>55</th>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...</td>\n",
              "      <td>95.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...</td>\n",
              "      <td>97.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>125000000</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 80, 'nam...</td>\n",
              "      <td>125.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 10402, 'name': 'Music'}, {'id': 10749,...</td>\n",
              "      <td>95.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>14000000</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 12, 'nam...</td>\n",
              "      <td>95.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>60</th>\n",
              "      <td>150000000</td>\n",
              "      <td>[{'id': 12, 'name': 'Adventure'}, {'id': 28, '...</td>\n",
              "      <td>144.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       budget                                             genres  runtime\n",
              "50     560000  [{'id': 10749, 'name': 'Romance'}, {'id': 18, ...    102.0\n",
              "51   12000000  [{'id': 12, 'name': 'Adventure'}, {'id': 35, '...    160.0\n",
              "52          0  [{'id': 12, 'name': 'Adventure'}, {'id': 10751...     97.0\n",
              "53          0  [{'id': 18, 'name': 'Drama'}, {'id': 10751, 'n...     98.0\n",
              "54   20000000                     [{'id': 28, 'name': 'Action'}]    107.0\n",
              "55          0  [{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...     95.0\n",
              "56          0  [{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...     97.0\n",
              "57  125000000  [{'id': 28, 'name': 'Action'}, {'id': 80, 'nam...    125.0\n",
              "58          0  [{'id': 10402, 'name': 'Music'}, {'id': 10749,...     95.0\n",
              "59   14000000  [{'id': 28, 'name': 'Action'}, {'id': 12, 'nam...     95.0\n",
              "60  150000000  [{'id': 12, 'name': 'Adventure'}, {'id': 28, '...    144.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 404
        },
        "id": "EVKKHKIDgm2F",
        "outputId": "e0cedcab-dc43-4afb-b885-9b609180aa3f"
      },
      "source": [
        "df.loc[:,['budget','genres','runtime']]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>budget</th>\n",
              "      <th>genres</th>\n",
              "      <th>runtime</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>14000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}]</td>\n",
              "      <td>93.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>40000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...</td>\n",
              "      <td>113.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3300000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}]</td>\n",
              "      <td>105.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1200000</td>\n",
              "      <td>[{'id': 53, 'name': 'Thriller'}, {'id': 18, 'n...</td>\n",
              "      <td>122.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 53, 'nam...</td>\n",
              "      <td>118.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2995</th>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 10749, '...</td>\n",
              "      <td>102.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2996</th>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}, {'id': 10402, 'n...</td>\n",
              "      <td>102.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2997</th>\n",
              "      <td>65000000</td>\n",
              "      <td>[{'id': 80, 'name': 'Crime'}, {'id': 28, 'name...</td>\n",
              "      <td>120.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2998</th>\n",
              "      <td>42000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 10749, '...</td>\n",
              "      <td>90.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2999</th>\n",
              "      <td>35000000</td>\n",
              "      <td>[{'id': 53, 'name': 'Thriller'}, {'id': 28, 'n...</td>\n",
              "      <td>106.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3000 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        budget                                             genres  runtime\n",
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              "...        ...                                                ...      ...\n",
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              "      <td>/83BV8fGy5p9i8RwE9oj76tZ1Ikp.jpg</td>\n",
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              "      <td>[{'iso_639_1': 'ar', 'name': 'العربية'}, {'iso...</td>\n",
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              "      <td>Control Room</td>\n",
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              "      <td>Muppet Treasure Island</td>\n",
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              "      <td>[{'name': 'Castle Rock Entertainment', 'id': 97}]</td>\n",
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              "      <td>[{'cast_id': 5, 'character': 'Bobo', 'credit_i...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2997</th>\n",
              "      <td>en</td>\n",
              "      <td>10/11/96</td>\n",
              "      <td>[{'cast_id': 10, 'character': 'Samantha Caine ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2998</th>\n",
              "      <td>en</td>\n",
              "      <td>1/16/04</td>\n",
              "      <td>[{'cast_id': 8, 'character': 'Reuben Feffer', ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2999</th>\n",
              "      <td>en</td>\n",
              "      <td>9/22/11</td>\n",
              "      <td>[{'cast_id': 2, 'character': 'Nathan Harper', ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3000 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "     original_language  ...                                               cast\n",
              "0                   en  ...  [{'cast_id': 4, 'character': 'Lou', 'credit_id...\n",
              "1                   en  ...  [{'cast_id': 1, 'character': 'Mia Thermopolis'...\n",
              "2                   en  ...  [{'cast_id': 5, 'character': 'Andrew Neimann',...\n",
              "3                   hi  ...  [{'cast_id': 1, 'character': 'Vidya Bagchi', '...\n",
              "4                   ko  ...  [{'cast_id': 3, 'character': 'Chun-soo', 'cred...\n",
              "...                ...  ...                                                ...\n",
              "2995                en  ...  [{'cast_id': 2, 'character': 'Rock Reilly', 'c...\n",
              "2996                sv  ...  [{'cast_id': 5, 'character': 'Bobo', 'credit_i...\n",
              "2997                en  ...  [{'cast_id': 10, 'character': 'Samantha Caine ...\n",
              "2998                en  ...  [{'cast_id': 8, 'character': 'Reuben Feffer', ...\n",
              "2999                en  ...  [{'cast_id': 2, 'character': 'Nathan Harper', ...\n",
              "\n",
              "[3000 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 109
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PfTrZlZm4Bq0",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7a5dbf23-8d6e-4ac1-fa1f-f00982cb79e9"
      },
      "source": [
        "df.columns"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['id', 'belongs_to_collection', 'budget', 'genres', 'homepage',\n",
              "       'imdb_id', 'original_language', 'original_title', 'overview',\n",
              "       'popularity', 'poster_path', 'production_companies',\n",
              "       'production_countries', 'release_date', 'runtime', 'spoken_languages',\n",
              "       'status', 'tagline', 'title', 'Keywords', 'cast', 'crew', 'revenue'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yf9qWNwyk1SE"
      },
      "source": [
        "## <b>In fact we can also perform boolean indexing on our dataframe</b>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZKnxWsyHirwK",
        "outputId": "c1e85749-e2b1-4548-c938-e9c5898fd257"
      },
      "source": [
        "df['original_language'] == 'en'"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        True\n",
              "1        True\n",
              "2        True\n",
              "3       False\n",
              "4       False\n",
              "        ...  \n",
              "2995     True\n",
              "2996    False\n",
              "2997     True\n",
              "2998     True\n",
              "2999     True\n",
              "Name: original_language, Length: 3000, dtype: bool"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 111
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pzBmuInzk1SF",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 601
        },
        "outputId": "4c327523-3989-44b0-d5e3-81357d3d1ddb"
      },
      "source": [
        "# Boolean Indexing\n",
        "english_movies = df[df['original_language'] == 'en']\n",
        "english_movies.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>belongs_to_collection</th>\n",
              "      <th>budget</th>\n",
              "      <th>genres</th>\n",
              "      <th>homepage</th>\n",
              "      <th>imdb_id</th>\n",
              "      <th>original_language</th>\n",
              "      <th>original_title</th>\n",
              "      <th>overview</th>\n",
              "      <th>popularity</th>\n",
              "      <th>poster_path</th>\n",
              "      <th>production_companies</th>\n",
              "      <th>production_countries</th>\n",
              "      <th>release_date</th>\n",
              "      <th>runtime</th>\n",
              "      <th>spoken_languages</th>\n",
              "      <th>status</th>\n",
              "      <th>tagline</th>\n",
              "      <th>title</th>\n",
              "      <th>Keywords</th>\n",
              "      <th>cast</th>\n",
              "      <th>crew</th>\n",
              "      <th>revenue</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>[{'id': 313576, 'name': 'Hot Tub Time Machine ...</td>\n",
              "      <td>14000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt2637294</td>\n",
              "      <td>en</td>\n",
              "      <td>Hot Tub Time Machine 2</td>\n",
              "      <td>When Lou, who has become the \"father of the In...</td>\n",
              "      <td>6.575393</td>\n",
              "      <td>/tQtWuwvMf0hCc2QR2tkolwl7c3c.jpg</td>\n",
              "      <td>[{'name': 'Paramount Pictures', 'id': 4}, {'na...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>2/20/15</td>\n",
              "      <td>93.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The Laws of Space and Time are About to be Vio...</td>\n",
              "      <td>Hot Tub Time Machine 2</td>\n",
              "      <td>[{'id': 4379, 'name': 'time travel'}, {'id': 9...</td>\n",
              "      <td>[{'cast_id': 4, 'character': 'Lou', 'credit_id...</td>\n",
              "      <td>[{'credit_id': '59ac067c92514107af02c8c8', 'de...</td>\n",
              "      <td>12314651</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>[{'id': 107674, 'name': 'The Princess Diaries ...</td>\n",
              "      <td>40000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt0368933</td>\n",
              "      <td>en</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>Mia Thermopolis is now a college graduate and ...</td>\n",
              "      <td>8.248895</td>\n",
              "      <td>/w9Z7A0GHEhIp7etpj0vyKOeU1Wx.jpg</td>\n",
              "      <td>[{'name': 'Walt Disney Pictures', 'id': 2}]</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>8/6/04</td>\n",
              "      <td>113.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>It can take a lifetime to find true love; she'...</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>[{'id': 2505, 'name': 'coronation'}, {'id': 42...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Mia Thermopolis'...</td>\n",
              "      <td>[{'credit_id': '52fe43fe9251416c7502563d', 'de...</td>\n",
              "      <td>95149435</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3300000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}]</td>\n",
              "      <td>http://sonyclassics.com/whiplash/</td>\n",
              "      <td>tt2582802</td>\n",
              "      <td>en</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>Under the direction of a ruthless instructor, ...</td>\n",
              "      <td>64.299990</td>\n",
              "      <td>/lIv1QinFqz4dlp5U4lQ6HaiskOZ.jpg</td>\n",
              "      <td>[{'name': 'Bold Films', 'id': 2266}, {'name': ...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>10/10/14</td>\n",
              "      <td>105.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The road to greatness can take you to the edge.</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>[{'id': 1416, 'name': 'jazz'}, {'id': 1523, 'n...</td>\n",
              "      <td>[{'cast_id': 5, 'character': 'Andrew Neimann',...</td>\n",
              "      <td>[{'credit_id': '54d5356ec3a3683ba0000039', 'de...</td>\n",
              "      <td>13092000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8000000</td>\n",
              "      <td>[{'id': 16, 'name': 'Animation'}, {'id': 12, '...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt0093743</td>\n",
              "      <td>en</td>\n",
              "      <td>Pinocchio and the Emperor of the Night</td>\n",
              "      <td>Pinocchio and his friends, a glow worm and a m...</td>\n",
              "      <td>0.743274</td>\n",
              "      <td>/6IDqA1D2NBIVhzEEaMMRL28iBrq.jpg</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8/6/87</td>\n",
              "      <td>83.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Pinocchio and the Emperor of the Night</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 6, 'character': 'Pinocchio (voice...</td>\n",
              "      <td>[{'credit_id': '52fe46f49251416c9106558b', 'de...</td>\n",
              "      <td>3261638</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7</td>\n",
              "      <td>NaN</td>\n",
              "      <td>14000000</td>\n",
              "      <td>[{'id': 27, 'name': 'Horror'}, {'id': 53, 'nam...</td>\n",
              "      <td>http://www.thepossessionmovie.com/</td>\n",
              "      <td>tt0431021</td>\n",
              "      <td>en</td>\n",
              "      <td>The Possession</td>\n",
              "      <td>A young girl buys an antique box at a yard sal...</td>\n",
              "      <td>7.286477</td>\n",
              "      <td>/4QjzFuaZmB4btGnLwAgdp23BzIU.jpg</td>\n",
              "      <td>[{'name': 'Ghost House Pictures', 'id': 768}, ...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>8/30/12</td>\n",
              "      <td>92.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>Fear The Demon That Doesn't Fear God</td>\n",
              "      <td>The Possession</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 23, 'character': 'Clyde', 'credit...</td>\n",
              "      <td>[{'credit_id': '52fe4981c3a368484e12ee29', 'de...</td>\n",
              "      <td>85446075</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   id  ...   revenue\n",
              "0   1  ...  12314651\n",
              "1   2  ...  95149435\n",
              "2   3  ...  13092000\n",
              "5   6  ...   3261638\n",
              "6   7  ...  85446075\n",
              "\n",
              "[5 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 110
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2__NKbBk5La9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1a89e9e3-7548-44a9-a270-317f4218701c"
      },
      "source": [
        "english_movies.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2575, 23)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uEhXvd5H5anc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 634
        },
        "outputId": "f78cc7fa-47bd-4d0b-e026-67e270e174bc"
      },
      "source": [
        "non_english_movies = df[df['original_language'] != 'en']\n",
        "non_english_movies.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "      <th>belongs_to_collection</th>\n",
              "      <th>budget</th>\n",
              "      <th>genres</th>\n",
              "      <th>homepage</th>\n",
              "      <th>imdb_id</th>\n",
              "      <th>original_language</th>\n",
              "      <th>original_title</th>\n",
              "      <th>overview</th>\n",
              "      <th>popularity</th>\n",
              "      <th>poster_path</th>\n",
              "      <th>production_companies</th>\n",
              "      <th>production_countries</th>\n",
              "      <th>release_date</th>\n",
              "      <th>runtime</th>\n",
              "      <th>spoken_languages</th>\n",
              "      <th>status</th>\n",
              "      <th>tagline</th>\n",
              "      <th>title</th>\n",
              "      <th>Keywords</th>\n",
              "      <th>cast</th>\n",
              "      <th>crew</th>\n",
              "      <th>revenue</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1200000</td>\n",
              "      <td>[{'id': 53, 'name': 'Thriller'}, {'id': 18, 'n...</td>\n",
              "      <td>http://kahaanithefilm.com/</td>\n",
              "      <td>tt1821480</td>\n",
              "      <td>hi</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>Vidya Bagchi (Vidya Balan) arrives in Kolkata ...</td>\n",
              "      <td>3.174936</td>\n",
              "      <td>/aTXRaPrWSinhcmCrcfJK17urp3F.jpg</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'IN', 'name': 'India'}]</td>\n",
              "      <td>3/9/12</td>\n",
              "      <td>122.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>[{'id': 10092, 'name': 'mystery'}, {'id': 1054...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Vidya Bagchi', '...</td>\n",
              "      <td>[{'credit_id': '52fe48779251416c9108d6eb', 'de...</td>\n",
              "      <td>16000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 53, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt1380152</td>\n",
              "      <td>ko</td>\n",
              "      <td>마린보이</td>\n",
              "      <td>Marine Boy is the story of a former national s...</td>\n",
              "      <td>1.148070</td>\n",
              "      <td>/m22s7zvkVFDU9ir56PiiqIEWFdT.jpg</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'KR', 'name': 'South Korea'}]</td>\n",
              "      <td>2/5/09</td>\n",
              "      <td>118.0</td>\n",
              "      <td>[{'iso_639_1': 'ko', 'name': '한국어/조선말'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Marine Boy</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 3, 'character': 'Chun-soo', 'cred...</td>\n",
              "      <td>[{'credit_id': '52fe464b9251416c75073b43', 'de...</td>\n",
              "      <td>3923970</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>16</td>\n",
              "      <td>NaN</td>\n",
              "      <td>500000</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 80, 'nam...</td>\n",
              "      <td>http://skinningmovie.com/synopsis.htm</td>\n",
              "      <td>tt1129437</td>\n",
              "      <td>sr</td>\n",
              "      <td>Šišanje</td>\n",
              "      <td>Novica is a mathematics champion in a Belgrade...</td>\n",
              "      <td>1.018477</td>\n",
              "      <td>/88l8VBanH0lS5Wvzu2qgkGcsfQi.jpg</td>\n",
              "      <td>[{'name': 'Hypnopolis', 'id': 51316}]</td>\n",
              "      <td>[{'iso_3166_1': 'RS', 'name': 'Serbia'}]</td>\n",
              "      <td>10/6/10</td>\n",
              "      <td>97.0</td>\n",
              "      <td>[{'iso_639_1': 'sr', 'name': 'Srpski'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>Life is sometimes rude game: one mistake can b...</td>\n",
              "      <td>Skinning</td>\n",
              "      <td>[{'id': 379, 'name': 'skinhead'}, {'id': 7492,...</td>\n",
              "      <td>[{'cast_id': 1001, 'character': 'Novica', 'cre...</td>\n",
              "      <td>[{'credit_id': '52fe4927c3a36847f818bb5f', 'de...</td>\n",
              "      <td>198</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>31</td>\n",
              "      <td>NaN</td>\n",
              "      <td>13000000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}, {'id': 35, 'name...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt1675434</td>\n",
              "      <td>fr</td>\n",
              "      <td>Intouchables</td>\n",
              "      <td>A true story of two men who should never have ...</td>\n",
              "      <td>16.086919</td>\n",
              "      <td>/4mFsNQwbD0F237Tx7gAPotd0nbJ.jpg</td>\n",
              "      <td>[{'name': 'Gaumont', 'id': 9}, {'name': 'TF1 F...</td>\n",
              "      <td>[{'iso_3166_1': 'FR', 'name': 'France'}]</td>\n",
              "      <td>11/2/11</td>\n",
              "      <td>112.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>Sometimes you have to reach into someone else'...</td>\n",
              "      <td>The Intouchables</td>\n",
              "      <td>[{'id': 3230, 'name': 'male friendship'}, {'id...</td>\n",
              "      <td>[{'cast_id': 6, 'character': 'Philippe', 'cred...</td>\n",
              "      <td>[{'credit_id': '52fe4967c3a368484e129b63', 'de...</td>\n",
              "      <td>426480871</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>32</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 9648, 'name': 'Mystery'}, {'id': 18, '...</td>\n",
              "      <td>http://www.cache-derfilm.at</td>\n",
              "      <td>tt0387898</td>\n",
              "      <td>fr</td>\n",
              "      <td>Caché</td>\n",
              "      <td>A married couple is terrorized by a series of ...</td>\n",
              "      <td>5.695860</td>\n",
              "      <td>/i1Zl8S4DgM3IDLW5dhZzBnIdCOe.jpg</td>\n",
              "      <td>[{'name': 'Les Films du Losange', 'id': 223}, ...</td>\n",
              "      <td>[{'iso_3166_1': 'AT', 'name': 'Austria'}, {'is...</td>\n",
              "      <td>5/2/05</td>\n",
              "      <td>117.0</td>\n",
              "      <td>[{'iso_639_1': 'fr', 'name': 'Français'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Caché</td>\n",
              "      <td>[{'id': 90, 'name': 'paris'}, {'id': 213, 'nam...</td>\n",
              "      <td>[{'cast_id': 2, 'character': 'Georges Laurent'...</td>\n",
              "      <td>[{'credit_id': '52fe4244c3a36847f8011073', 'de...</td>\n",
              "      <td>36000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    id  ...    revenue\n",
              "3    4  ...   16000000\n",
              "4    5  ...    3923970\n",
              "15  16  ...        198\n",
              "30  31  ...  426480871\n",
              "31  32  ...   36000000\n",
              "\n",
              "[5 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hHMPEpvUcg8_",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 404
        },
        "outputId": "8969c825-b6ef-4b3b-f2c4-29327c113366"
      },
      "source": [
        "long_movies = df[df['runtime'] > 120]\n",
        "long_movies[['title','cast']]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>title</th>\n",
              "      <th>cast</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Kahaani</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Vidya Bagchi', '...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>American Beauty</td>\n",
              "      <td>[{'cast_id': 6, 'character': 'Lester Burnham',...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Minority Report</td>\n",
              "      <td>[{'cast_id': 5, 'character': 'Chief John Ander...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>Lost in Space</td>\n",
              "      <td>[{'cast_id': 26, 'character': 'Dr. Zachary Smi...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>ABCs of Death 2</td>\n",
              "      <td>[{'cast_id': 60, 'character': 'Assassin (Segme...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2969</th>\n",
              "      <td>Gosford Park</td>\n",
              "      <td>[{'cast_id': 2, 'character': 'Mrs. Wilson', 'c...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2970</th>\n",
              "      <td>The Bodyguard</td>\n",
              "      <td>[{'cast_id': 17, 'character': 'Rachel Marron',...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2980</th>\n",
              "      <td>Action Hero Biju</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Sub-Inspector Bi...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2992</th>\n",
              "      <td>The Thief of Bagdad</td>\n",
              "      <td>[{'cast_id': 3, 'character': 'The Thief of Bag...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2993</th>\n",
              "      <td>The Terminal</td>\n",
              "      <td>[{'cast_id': 4, 'character': 'Viktor Navorski'...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>657 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                    title                                               cast\n",
              "3                 Kahaani  [{'cast_id': 1, 'character': 'Vidya Bagchi', '...\n",
              "12        American Beauty  [{'cast_id': 6, 'character': 'Lester Burnham',...\n",
              "14        Minority Report  [{'cast_id': 5, 'character': 'Chief John Ander...\n",
              "20          Lost in Space  [{'cast_id': 26, 'character': 'Dr. Zachary Smi...\n",
              "33        ABCs of Death 2  [{'cast_id': 60, 'character': 'Assassin (Segme...\n",
              "...                   ...                                                ...\n",
              "2969         Gosford Park  [{'cast_id': 2, 'character': 'Mrs. Wilson', 'c...\n",
              "2970        The Bodyguard  [{'cast_id': 17, 'character': 'Rachel Marron',...\n",
              "2980     Action Hero Biju  [{'cast_id': 1, 'character': 'Sub-Inspector Bi...\n",
              "2992  The Thief of Bagdad  [{'cast_id': 3, 'character': 'The Thief of Bag...\n",
              "2993         The Terminal  [{'cast_id': 4, 'character': 'Viktor Navorski'...\n",
              "\n",
              "[657 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dsNedW82c1gO"
      },
      "source": [
        "## Infact we can match conditions for mutliple columns"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qH4T9X-ajcuY"
      },
      "source": [
        "long_movies = df[df['runtime'] > 120]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 634
        },
        "id": "Uf2L2Vz1jlgu",
        "outputId": "9c7248a7-a74b-428b-b726-4e055aa02f9d"
      },
      "source": [
        "long_movies.tail()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    .dataframe tbody tr th {\n",
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              "    .dataframe thead th {\n",
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              "      <th>genres</th>\n",
              "      <th>homepage</th>\n",
              "      <th>imdb_id</th>\n",
              "      <th>original_language</th>\n",
              "      <th>original_title</th>\n",
              "      <th>overview</th>\n",
              "      <th>popularity</th>\n",
              "      <th>poster_path</th>\n",
              "      <th>production_companies</th>\n",
              "      <th>production_countries</th>\n",
              "      <th>release_date</th>\n",
              "      <th>runtime</th>\n",
              "      <th>spoken_languages</th>\n",
              "      <th>status</th>\n",
              "      <th>tagline</th>\n",
              "      <th>title</th>\n",
              "      <th>Keywords</th>\n",
              "      <th>cast</th>\n",
              "      <th>crew</th>\n",
              "      <th>revenue</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2969</th>\n",
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              "      <td>NaN</td>\n",
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              "      <td>[{'id': 18, 'name': 'Drama'}, {'id': 9648, 'na...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt0280707</td>\n",
              "      <td>en</td>\n",
              "      <td>Gosford Park</td>\n",
              "      <td>Multiple storylined drama set in 1932, showing...</td>\n",
              "      <td>14.101101</td>\n",
              "      <td>/7wCUMn1Fj5MutTJHFopHba0Pto.jpg</td>\n",
              "      <td>[{'name': 'USA Films', 'id': 987}]</td>\n",
              "      <td>[{'iso_3166_1': 'DE', 'name': 'Germany'}, {'is...</td>\n",
              "      <td>11/7/01</td>\n",
              "      <td>137.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>Tea at four. Dinner at eight. Murder at midnight.</td>\n",
              "      <td>Gosford Park</td>\n",
              "      <td>[{'id': 964, 'name': 'servant'}, {'id': 10594,...</td>\n",
              "      <td>[{'cast_id': 2, 'character': 'Mrs. Wilson', 'c...</td>\n",
              "      <td>[{'credit_id': '52fe4401c3a36847f807ceab', 'de...</td>\n",
              "      <td>87754044</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2970</th>\n",
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              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>tt0103855</td>\n",
              "      <td>en</td>\n",
              "      <td>The Bodyguard</td>\n",
              "      <td>A former Secret Service agent grudgingly takes...</td>\n",
              "      <td>9.805017</td>\n",
              "      <td>/cbUiIu4357JQ4FBCtRJovHNv1gi.jpg</td>\n",
              "      <td>[{'name': 'Tig Productions', 'id': 335}, {'nam...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>11/25/92</td>\n",
              "      <td>129.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>Never let her out of your sight. Never let you...</td>\n",
              "      <td>The Bodyguard</td>\n",
              "      <td>[{'id': 1156, 'name': 'sister sister relations...</td>\n",
              "      <td>[{'cast_id': 17, 'character': 'Rachel Marron',...</td>\n",
              "      <td>[{'credit_id': '52fe425ec3a36847f8019133', 'de...</td>\n",
              "      <td>411006740</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2980</th>\n",
              "      <td>2981</td>\n",
              "      <td>NaN</td>\n",
              "      <td>300000</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 35, 'nam...</td>\n",
              "      <td>https://www.facebook.com/Actionherobiju/</td>\n",
              "      <td>tt5320514</td>\n",
              "      <td>ml</td>\n",
              "      <td>ആക്ഷൻ ഹീറോ ബിജു</td>\n",
              "      <td>Biju is an honest policeman who fights the inj...</td>\n",
              "      <td>0.350207</td>\n",
              "      <td>/2Gs9TXEwFnjyvwSFKmsm437hvq3.jpg</td>\n",
              "      <td>[{'name': 'Full On Studios', 'id': 73777}, {'n...</td>\n",
              "      <td>[{'iso_3166_1': 'IN', 'name': 'India'}]</td>\n",
              "      <td>2/4/16</td>\n",
              "      <td>144.0</td>\n",
              "      <td>[{'iso_639_1': 'ml', 'name': ''}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>A ride with a police officer</td>\n",
              "      <td>Action Hero Biju</td>\n",
              "      <td>[{'id': 1252, 'name': 'suicide attempt'}, {'id...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Sub-Inspector Bi...</td>\n",
              "      <td>[{'credit_id': '56b4d47f92514112b90045f6', 'de...</td>\n",
              "      <td>2500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2992</th>\n",
              "      <td>2993</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1135654</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 12, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt0015400</td>\n",
              "      <td>en</td>\n",
              "      <td>The Thief of Bagdad</td>\n",
              "      <td>A recalcitrant thief vies with a duplicitous M...</td>\n",
              "      <td>3.878515</td>\n",
              "      <td>/a6IzXkwZRDimfn8HATzP6Pi6Ois.jpg</td>\n",
              "      <td>[{'name': 'Douglas Fairbanks Pictures', 'id': ...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>3/18/24</td>\n",
              "      <td>149.0</td>\n",
              "      <td>[{'iso_639_1': 'xx', 'name': 'No Language'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>\"Happiness Must Be Earned\"</td>\n",
              "      <td>The Thief of Bagdad</td>\n",
              "      <td>[{'id': 255, 'name': 'male nudity'}, {'id': 14...</td>\n",
              "      <td>[{'cast_id': 3, 'character': 'The Thief of Bag...</td>\n",
              "      <td>[{'credit_id': '52fe45bec3a368484e06c70b', 'de...</td>\n",
              "      <td>1213880</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2993</th>\n",
              "      <td>2994</td>\n",
              "      <td>NaN</td>\n",
              "      <td>60000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...</td>\n",
              "      <td>http://www.theterminal-themovie.com/</td>\n",
              "      <td>tt0362227</td>\n",
              "      <td>en</td>\n",
              "      <td>The Terminal</td>\n",
              "      <td>Viktor Navorski is a man without a country; hi...</td>\n",
              "      <td>14.092373</td>\n",
              "      <td>/f4Dup6awDfDqAHKgWqNJ2HFw1qN.jpg</td>\n",
              "      <td>[{'name': 'DreamWorks SKG', 'id': 27}, {'name'...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>6/17/04</td>\n",
              "      <td>128.0</td>\n",
              "      <td>[{'iso_639_1': 'bg', 'name': 'български език'}...</td>\n",
              "      <td>Released</td>\n",
              "      <td>Life is waiting.</td>\n",
              "      <td>The Terminal</td>\n",
              "      <td>[{'id': 242, 'name': 'new york'}, {'id': 822, ...</td>\n",
              "      <td>[{'cast_id': 4, 'character': 'Viktor Navorski'...</td>\n",
              "      <td>[{'credit_id': '52fe4259c3a36847f8017699', 'de...</td>\n",
              "      <td>219417255</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        id  ...    revenue\n",
              "2969  2970  ...   87754044\n",
              "2970  2971  ...  411006740\n",
              "2980  2981  ...    2500000\n",
              "2992  2993  ...    1213880\n",
              "2993  2994  ...  219417255\n",
              "\n",
              "[5 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 114
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xt1lG39kj9f6",
        "outputId": "bdf2a215-e248-4192-9ecf-9f94a5227fc3"
      },
      "source": [
        "(df['original_language']=='en') & (df['runtime'] > 120)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0       False\n",
              "1       False\n",
              "2       False\n",
              "3       False\n",
              "4       False\n",
              "        ...  \n",
              "2995    False\n",
              "2996    False\n",
              "2997    False\n",
              "2998    False\n",
              "2999    False\n",
              "Length: 3000, dtype: bool"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 115
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5jPesd-Hk1SI",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 618
        },
        "outputId": "988e31f6-aab9-4fb8-b0c9-b2a689f79ddd"
      },
      "source": [
        "long_english_movies = df[(df['original_language']=='en') & (df['runtime'] > 120)]\n",
        "long_english_movies.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "    .dataframe tbody tr th {\n",
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              "      <th>Keywords</th>\n",
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              "  <tbody>\n",
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              "      <th>12</th>\n",
              "      <td>13</td>\n",
              "      <td>NaN</td>\n",
              "      <td>15000000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}]</td>\n",
              "      <td>http://www.dreamworks.com/ab/</td>\n",
              "      <td>tt0169547</td>\n",
              "      <td>en</td>\n",
              "      <td>American Beauty</td>\n",
              "      <td>Lester Burnham, a depressed suburban father in...</td>\n",
              "      <td>20.726578</td>\n",
              "      <td>/or1MP8BZIAjqWYxPdPX724ydKar.jpg</td>\n",
              "      <td>[{'name': 'DreamWorks SKG', 'id': 27}, {'name'...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>9/15/99</td>\n",
              "      <td>122.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>Look closer.</td>\n",
              "      <td>American Beauty</td>\n",
              "      <td>[{'id': 255, 'name': 'male nudity'}, {'id': 29...</td>\n",
              "      <td>[{'cast_id': 6, 'character': 'Lester Burnham',...</td>\n",
              "      <td>[{'credit_id': '52fe420ec3a36847f80007c5', 'de...</td>\n",
              "      <td>356296601</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>15</td>\n",
              "      <td>NaN</td>\n",
              "      <td>102000000</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 53, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt0181689</td>\n",
              "      <td>en</td>\n",
              "      <td>Minority Report</td>\n",
              "      <td>John Anderton is a top 'Precrime' cop in the l...</td>\n",
              "      <td>20.666063</td>\n",
              "      <td>/h3lpltSn7Rj1eYTPQO1lYGdw4Bz.jpg</td>\n",
              "      <td>[{'name': 'DreamWorks SKG', 'id': 27}, {'name'...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>6/20/02</td>\n",
              "      <td>145.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>The system is perfect until it comes after you.</td>\n",
              "      <td>Minority Report</td>\n",
              "      <td>[{'id': 476, 'name': 'self-fulfilling prophecy...</td>\n",
              "      <td>[{'cast_id': 5, 'character': 'Chief John Ander...</td>\n",
              "      <td>[{'credit_id': '52fe4223c3a36847f8006f3d', 'de...</td>\n",
              "      <td>358372926</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>21</td>\n",
              "      <td>NaN</td>\n",
              "      <td>80000000</td>\n",
              "      <td>[{'id': 12, 'name': 'Adventure'}, {'id': 10751...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt0120738</td>\n",
              "      <td>en</td>\n",
              "      <td>Lost in Space</td>\n",
              "      <td>The prospects for continuing life on Earth in ...</td>\n",
              "      <td>12.000579</td>\n",
              "      <td>/kkBDPkUnYwAkWbYY2bnyf5ANObA.jpg</td>\n",
              "      <td>[{'name': 'New Line Cinema', 'id': 12}, {'name...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>4/3/98</td>\n",
              "      <td>130.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>Danger, Will Robinson!</td>\n",
              "      <td>Lost in Space</td>\n",
              "      <td>[{'id': 4379, 'name': 'time travel'}, {'id': 1...</td>\n",
              "      <td>[{'cast_id': 26, 'character': 'Dr. Zachary Smi...</td>\n",
              "      <td>[{'credit_id': '52fe433bc3a36847f80448b9', 'de...</td>\n",
              "      <td>136159423</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>34</td>\n",
              "      <td>[{'id': 207632, 'name': 'The ABCs of Death Col...</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 27, 'name': 'Horror'}]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt2926810</td>\n",
              "      <td>en</td>\n",
              "      <td>ABCs of Death 2</td>\n",
              "      <td>Taking all that was great from the first insta...</td>\n",
              "      <td>8.254856</td>\n",
              "      <td>/npN4yjO7MLg1ouMUF4VZ87ChiO1.jpg</td>\n",
              "      <td>[{'name': 'Magnet Releasing', 'id': 3595}, {'n...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>10/2/14</td>\n",
              "      <td>125.0</td>\n",
              "      <td>[{'iso_639_1': 'ar', 'name': 'العربية'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>Some people never learn</td>\n",
              "      <td>ABCs of Death 2</td>\n",
              "      <td>[{'id': 9706, 'name': 'anthology'}, {'id': 187...</td>\n",
              "      <td>[{'cast_id': 60, 'character': 'Assassin (Segme...</td>\n",
              "      <td>[{'credit_id': '52fe4cd69251416c91101d73', 'de...</td>\n",
              "      <td>7171</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>38</td>\n",
              "      <td>NaN</td>\n",
              "      <td>50000000</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 18, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt0114069</td>\n",
              "      <td>en</td>\n",
              "      <td>Outbreak</td>\n",
              "      <td>A deadly airborne virus finds its way into the...</td>\n",
              "      <td>13.676444</td>\n",
              "      <td>/4KymNvlWR0XF0sqX2BWRd9Z3yXR.jpg</td>\n",
              "      <td>[{'name': 'Kopelson Entertainment', 'id': 824}...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>3/10/95</td>\n",
              "      <td>127.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>This animal carries a deadly virus... and the ...</td>\n",
              "      <td>Outbreak</td>\n",
              "      <td>[{'id': 1261, 'name': 'river'}, {'id': 1402, '...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Sam Daniels', 'c...</td>\n",
              "      <td>[{'credit_id': '52fe446ac3a36847f80949d3', 'de...</td>\n",
              "      <td>189859560</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    id  ...    revenue\n",
              "12  13  ...  356296601\n",
              "14  15  ...  358372926\n",
              "20  21  ...  136159423\n",
              "33  34  ...       7171\n",
              "37  38  ...  189859560\n",
              "\n",
              "[5 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 118
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gaIF9KyOJnos",
        "outputId": "c22758eb-b9c3-416b-bbdb-e41a986e3e24"
      },
      "source": [
        "long_english_movies.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(506, 23)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3iJsLQbwk1SQ"
      },
      "source": [
        "# <u>**Next let us see how we can manipulate columns**</u>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xO7UdZirk1SQ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c01f2e7f-e082-417d-9411-64878c5cac4d"
      },
      "source": [
        "df.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3000, 23)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mCnU3qFddsRn"
      },
      "source": [
        "## **Let's say if you wanted a new column whose values were half the movie runtime**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6YS_Wd88lHx1",
        "outputId": "39db4e4e-0cb3-4061-cca0-8f2d88de1dd4"
      },
      "source": [
        "df['runtime']"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        93.0\n",
              "1       113.0\n",
              "2       105.0\n",
              "3       122.0\n",
              "4       118.0\n",
              "        ...  \n",
              "2995    102.0\n",
              "2996    102.0\n",
              "2997    120.0\n",
              "2998     90.0\n",
              "2999    106.0\n",
              "Name: runtime, Length: 3000, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 122
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xKjV70mhk1SS"
      },
      "source": [
        "# Add new column which is just half the runtime\n",
        "df['half_runtime'] = df['runtime'] * 0.5"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ssFU0L1nk1SW",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 618
        },
        "outputId": "4c4bf036-354c-4f62-eaa5-310f6c8289aa"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>belongs_to_collection</th>\n",
              "      <th>budget</th>\n",
              "      <th>genres</th>\n",
              "      <th>homepage</th>\n",
              "      <th>imdb_id</th>\n",
              "      <th>original_language</th>\n",
              "      <th>original_title</th>\n",
              "      <th>overview</th>\n",
              "      <th>popularity</th>\n",
              "      <th>poster_path</th>\n",
              "      <th>production_companies</th>\n",
              "      <th>production_countries</th>\n",
              "      <th>release_date</th>\n",
              "      <th>runtime</th>\n",
              "      <th>spoken_languages</th>\n",
              "      <th>status</th>\n",
              "      <th>tagline</th>\n",
              "      <th>title</th>\n",
              "      <th>Keywords</th>\n",
              "      <th>cast</th>\n",
              "      <th>crew</th>\n",
              "      <th>revenue</th>\n",
              "      <th>half_runtime</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>[{'id': 313576, 'name': 'Hot Tub Time Machine ...</td>\n",
              "      <td>14000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt2637294</td>\n",
              "      <td>en</td>\n",
              "      <td>Hot Tub Time Machine 2</td>\n",
              "      <td>When Lou, who has become the \"father of the In...</td>\n",
              "      <td>6.575393</td>\n",
              "      <td>/tQtWuwvMf0hCc2QR2tkolwl7c3c.jpg</td>\n",
              "      <td>[{'name': 'Paramount Pictures', 'id': 4}, {'na...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>2/20/15</td>\n",
              "      <td>93.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The Laws of Space and Time are About to be Vio...</td>\n",
              "      <td>Hot Tub Time Machine 2</td>\n",
              "      <td>[{'id': 4379, 'name': 'time travel'}, {'id': 9...</td>\n",
              "      <td>[{'cast_id': 4, 'character': 'Lou', 'credit_id...</td>\n",
              "      <td>[{'credit_id': '59ac067c92514107af02c8c8', 'de...</td>\n",
              "      <td>12314651</td>\n",
              "      <td>46.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>[{'id': 107674, 'name': 'The Princess Diaries ...</td>\n",
              "      <td>40000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt0368933</td>\n",
              "      <td>en</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>Mia Thermopolis is now a college graduate and ...</td>\n",
              "      <td>8.248895</td>\n",
              "      <td>/w9Z7A0GHEhIp7etpj0vyKOeU1Wx.jpg</td>\n",
              "      <td>[{'name': 'Walt Disney Pictures', 'id': 2}]</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>8/6/04</td>\n",
              "      <td>113.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>It can take a lifetime to find true love; she'...</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>[{'id': 2505, 'name': 'coronation'}, {'id': 42...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Mia Thermopolis'...</td>\n",
              "      <td>[{'credit_id': '52fe43fe9251416c7502563d', 'de...</td>\n",
              "      <td>95149435</td>\n",
              "      <td>56.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3300000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}]</td>\n",
              "      <td>http://sonyclassics.com/whiplash/</td>\n",
              "      <td>tt2582802</td>\n",
              "      <td>en</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>Under the direction of a ruthless instructor, ...</td>\n",
              "      <td>64.299990</td>\n",
              "      <td>/lIv1QinFqz4dlp5U4lQ6HaiskOZ.jpg</td>\n",
              "      <td>[{'name': 'Bold Films', 'id': 2266}, {'name': ...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>10/10/14</td>\n",
              "      <td>105.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The road to greatness can take you to the edge.</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>[{'id': 1416, 'name': 'jazz'}, {'id': 1523, 'n...</td>\n",
              "      <td>[{'cast_id': 5, 'character': 'Andrew Neimann',...</td>\n",
              "      <td>[{'credit_id': '54d5356ec3a3683ba0000039', 'de...</td>\n",
              "      <td>13092000</td>\n",
              "      <td>52.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1200000</td>\n",
              "      <td>[{'id': 53, 'name': 'Thriller'}, {'id': 18, 'n...</td>\n",
              "      <td>http://kahaanithefilm.com/</td>\n",
              "      <td>tt1821480</td>\n",
              "      <td>hi</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>Vidya Bagchi (Vidya Balan) arrives in Kolkata ...</td>\n",
              "      <td>3.174936</td>\n",
              "      <td>/aTXRaPrWSinhcmCrcfJK17urp3F.jpg</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'IN', 'name': 'India'}]</td>\n",
              "      <td>3/9/12</td>\n",
              "      <td>122.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>[{'id': 10092, 'name': 'mystery'}, {'id': 1054...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Vidya Bagchi', '...</td>\n",
              "      <td>[{'credit_id': '52fe48779251416c9108d6eb', 'de...</td>\n",
              "      <td>16000000</td>\n",
              "      <td>61.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 53, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt1380152</td>\n",
              "      <td>ko</td>\n",
              "      <td>마린보이</td>\n",
              "      <td>Marine Boy is the story of a former national s...</td>\n",
              "      <td>1.148070</td>\n",
              "      <td>/m22s7zvkVFDU9ir56PiiqIEWFdT.jpg</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'KR', 'name': 'South Korea'}]</td>\n",
              "      <td>2/5/09</td>\n",
              "      <td>118.0</td>\n",
              "      <td>[{'iso_639_1': 'ko', 'name': '한국어/조선말'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Marine Boy</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 3, 'character': 'Chun-soo', 'cred...</td>\n",
              "      <td>[{'credit_id': '52fe464b9251416c75073b43', 'de...</td>\n",
              "      <td>3923970</td>\n",
              "      <td>59.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   id  ... half_runtime\n",
              "0   1  ...         46.5\n",
              "1   2  ...         56.5\n",
              "2   3  ...         52.5\n",
              "3   4  ...         61.0\n",
              "4   5  ...         59.0\n",
              "\n",
              "[5 rows x 24 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 124
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WTcaIxu_eBpV"
      },
      "source": [
        "## We can also create a new column by adding two existing columns"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4FFob3GWeBRa"
      },
      "source": [
        "# Creating another new column by subtracting/adding two existing columns\n",
        "df['movie_profit'] = df['revenue'] - df['budget']"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3TPvqRiGk1SY",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 618
        },
        "outputId": "5c77517c-a768-47be-c0b0-3a7c00d7de46"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
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              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>[{'id': 2505, 'name': 'coronation'}, {'id': 42...</td>\n",
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              "      <td>95149435</td>\n",
              "      <td>56.5</td>\n",
              "      <td>55149435</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3300000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}]</td>\n",
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              "      <td>tt2582802</td>\n",
              "      <td>en</td>\n",
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              "      <td>/lIv1QinFqz4dlp5U4lQ6HaiskOZ.jpg</td>\n",
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              "      <td>105.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The road to greatness can take you to the edge.</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>[{'id': 1416, 'name': 'jazz'}, {'id': 1523, 'n...</td>\n",
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              "      <td>[{'credit_id': '54d5356ec3a3683ba0000039', 'de...</td>\n",
              "      <td>13092000</td>\n",
              "      <td>52.5</td>\n",
              "      <td>9792000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1200000</td>\n",
              "      <td>[{'id': 53, 'name': 'Thriller'}, {'id': 18, 'n...</td>\n",
              "      <td>http://kahaanithefilm.com/</td>\n",
              "      <td>tt1821480</td>\n",
              "      <td>hi</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>Vidya Bagchi (Vidya Balan) arrives in Kolkata ...</td>\n",
              "      <td>3.174936</td>\n",
              "      <td>/aTXRaPrWSinhcmCrcfJK17urp3F.jpg</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'IN', 'name': 'India'}]</td>\n",
              "      <td>3/9/12</td>\n",
              "      <td>122.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>[{'id': 10092, 'name': 'mystery'}, {'id': 1054...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Vidya Bagchi', '...</td>\n",
              "      <td>[{'credit_id': '52fe48779251416c9108d6eb', 'de...</td>\n",
              "      <td>16000000</td>\n",
              "      <td>61.0</td>\n",
              "      <td>14800000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 53, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt1380152</td>\n",
              "      <td>ko</td>\n",
              "      <td>마린보이</td>\n",
              "      <td>Marine Boy is the story of a former national s...</td>\n",
              "      <td>1.148070</td>\n",
              "      <td>/m22s7zvkVFDU9ir56PiiqIEWFdT.jpg</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'KR', 'name': 'South Korea'}]</td>\n",
              "      <td>2/5/09</td>\n",
              "      <td>118.0</td>\n",
              "      <td>[{'iso_639_1': 'ko', 'name': '한국어/조선말'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Marine Boy</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 3, 'character': 'Chun-soo', 'cred...</td>\n",
              "      <td>[{'credit_id': '52fe464b9251416c75073b43', 'de...</td>\n",
              "      <td>3923970</td>\n",
              "      <td>59.0</td>\n",
              "      <td>3923970</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   id  ... movie_profit\n",
              "0   1  ...     -1685349\n",
              "1   2  ...     55149435\n",
              "2   3  ...      9792000\n",
              "3   4  ...     14800000\n",
              "4   5  ...      3923970\n",
              "\n",
              "[5 rows x 25 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 126
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IWTVbhhheZLp"
      },
      "source": [
        "## **Next, we can also drop some columns which we want to drop**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "h4Zt2ypxk1Sb"
      },
      "source": [
        "# Remove column\n",
        "df.drop(['id'], axis = 1, inplace=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4GOcGHdLk1Se",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 618
        },
        "outputId": "f1847a92-0a81-49ba-e680-587d39907ae5"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>Hot Tub Time Machine 2</td>\n",
              "      <td>[{'id': 4379, 'name': 'time travel'}, {'id': 9...</td>\n",
              "      <td>[{'cast_id': 4, 'character': 'Lou', 'credit_id...</td>\n",
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              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
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              "      <td>/w9Z7A0GHEhIp7etpj0vyKOeU1Wx.jpg</td>\n",
              "      <td>[{'name': 'Walt Disney Pictures', 'id': 2}]</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
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              "      <td>113.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>It can take a lifetime to find true love; she'...</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>[{'id': 2505, 'name': 'coronation'}, {'id': 42...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Mia Thermopolis'...</td>\n",
              "      <td>[{'credit_id': '52fe43fe9251416c7502563d', 'de...</td>\n",
              "      <td>95149435</td>\n",
              "      <td>56.5</td>\n",
              "      <td>55149435</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>NaN</td>\n",
              "      <td>3300000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}]</td>\n",
              "      <td>http://sonyclassics.com/whiplash/</td>\n",
              "      <td>tt2582802</td>\n",
              "      <td>en</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>Under the direction of a ruthless instructor, ...</td>\n",
              "      <td>64.299990</td>\n",
              "      <td>/lIv1QinFqz4dlp5U4lQ6HaiskOZ.jpg</td>\n",
              "      <td>[{'name': 'Bold Films', 'id': 2266}, {'name': ...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>10/10/14</td>\n",
              "      <td>105.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The road to greatness can take you to the edge.</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>[{'id': 1416, 'name': 'jazz'}, {'id': 1523, 'n...</td>\n",
              "      <td>[{'cast_id': 5, 'character': 'Andrew Neimann',...</td>\n",
              "      <td>[{'credit_id': '54d5356ec3a3683ba0000039', 'de...</td>\n",
              "      <td>13092000</td>\n",
              "      <td>52.5</td>\n",
              "      <td>9792000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>NaN</td>\n",
              "      <td>1200000</td>\n",
              "      <td>[{'id': 53, 'name': 'Thriller'}, {'id': 18, 'n...</td>\n",
              "      <td>http://kahaanithefilm.com/</td>\n",
              "      <td>tt1821480</td>\n",
              "      <td>hi</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>Vidya Bagchi (Vidya Balan) arrives in Kolkata ...</td>\n",
              "      <td>3.174936</td>\n",
              "      <td>/aTXRaPrWSinhcmCrcfJK17urp3F.jpg</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'IN', 'name': 'India'}]</td>\n",
              "      <td>3/9/12</td>\n",
              "      <td>122.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>[{'id': 10092, 'name': 'mystery'}, {'id': 1054...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Vidya Bagchi', '...</td>\n",
              "      <td>[{'credit_id': '52fe48779251416c9108d6eb', 'de...</td>\n",
              "      <td>16000000</td>\n",
              "      <td>61.0</td>\n",
              "      <td>14800000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 53, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt1380152</td>\n",
              "      <td>ko</td>\n",
              "      <td>마린보이</td>\n",
              "      <td>Marine Boy is the story of a former national s...</td>\n",
              "      <td>1.148070</td>\n",
              "      <td>/m22s7zvkVFDU9ir56PiiqIEWFdT.jpg</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'KR', 'name': 'South Korea'}]</td>\n",
              "      <td>2/5/09</td>\n",
              "      <td>118.0</td>\n",
              "      <td>[{'iso_639_1': 'ko', 'name': '한국어/조선말'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Marine Boy</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 3, 'character': 'Chun-soo', 'cred...</td>\n",
              "      <td>[{'credit_id': '52fe464b9251416c75073b43', 'de...</td>\n",
              "      <td>3923970</td>\n",
              "      <td>59.0</td>\n",
              "      <td>3923970</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                               belongs_to_collection  ...  movie_profit\n",
              "0  [{'id': 313576, 'name': 'Hot Tub Time Machine ...  ...      -1685349\n",
              "1  [{'id': 107674, 'name': 'The Princess Diaries ...  ...      55149435\n",
              "2                                                NaN  ...       9792000\n",
              "3                                                NaN  ...      14800000\n",
              "4                                                NaN  ...       3923970\n",
              "\n",
              "[5 rows x 24 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HTeX2BStk1Sg",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "outputId": "3bc0a1d8-2c70-4158-b3cb-a25441ab5b58"
      },
      "source": [
        "df.describe()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>budget</th>\n",
              "      <th>popularity</th>\n",
              "      <th>runtime</th>\n",
              "      <th>revenue</th>\n",
              "      <th>half_runtime</th>\n",
              "      <th>movie_profit</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>3.000000e+03</td>\n",
              "      <td>3000.000000</td>\n",
              "      <td>2998.000000</td>\n",
              "      <td>3.000000e+03</td>\n",
              "      <td>2998.000000</td>\n",
              "      <td>3.000000e+03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>2.253133e+07</td>\n",
              "      <td>8.463274</td>\n",
              "      <td>107.856571</td>\n",
              "      <td>6.672585e+07</td>\n",
              "      <td>53.928286</td>\n",
              "      <td>4.419452e+07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>3.702609e+07</td>\n",
              "      <td>12.104000</td>\n",
              "      <td>22.086434</td>\n",
              "      <td>1.375323e+08</td>\n",
              "      <td>11.043217</td>\n",
              "      <td>1.123274e+08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000001</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-1.074474e+08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>4.018053</td>\n",
              "      <td>94.000000</td>\n",
              "      <td>2.379808e+06</td>\n",
              "      <td>47.000000</td>\n",
              "      <td>1.795200e+04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>8.000000e+06</td>\n",
              "      <td>7.374861</td>\n",
              "      <td>104.000000</td>\n",
              "      <td>1.680707e+07</td>\n",
              "      <td>52.000000</td>\n",
              "      <td>6.121122e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2.900000e+07</td>\n",
              "      <td>10.890983</td>\n",
              "      <td>118.000000</td>\n",
              "      <td>6.891920e+07</td>\n",
              "      <td>59.000000</td>\n",
              "      <td>4.143293e+07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>3.800000e+08</td>\n",
              "      <td>294.337037</td>\n",
              "      <td>338.000000</td>\n",
              "      <td>1.519558e+09</td>\n",
              "      <td>169.000000</td>\n",
              "      <td>1.316249e+09</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             budget   popularity  ...  half_runtime  movie_profit\n",
              "count  3.000000e+03  3000.000000  ...   2998.000000  3.000000e+03\n",
              "mean   2.253133e+07     8.463274  ...     53.928286  4.419452e+07\n",
              "std    3.702609e+07    12.104000  ...     11.043217  1.123274e+08\n",
              "min    0.000000e+00     0.000001  ...      0.000000 -1.074474e+08\n",
              "25%    0.000000e+00     4.018053  ...     47.000000  1.795200e+04\n",
              "50%    8.000000e+06     7.374861  ...     52.000000  6.121122e+06\n",
              "75%    2.900000e+07    10.890983  ...     59.000000  4.143293e+07\n",
              "max    3.800000e+08   294.337037  ...    169.000000  1.316249e+09\n",
              "\n",
              "[8 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "x5QJnqiihOg6"
      },
      "source": [
        "## You can drop  multiple columns at once too."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IiAwU37Ek1Sj"
      },
      "source": [
        "df.drop(['half_runtime','poster_path'],axis=1,inplace=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7ty3iKrCoGef"
      },
      "source": [
        "df.drop(['crew'], axis = 1, inplace=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dwRzay1QhYbB",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 618
        },
        "outputId": "3053d573-0c49-4936-8022-fe6a7178798d"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "      <th>Keywords</th>\n",
              "      <th>cast</th>\n",
              "      <th>crew</th>\n",
              "      <th>revenue</th>\n",
              "      <th>movie_profit</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
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              "      <th>0</th>\n",
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              "      <td>tt2637294</td>\n",
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              "      <td>Released</td>\n",
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              "      <td>Hot Tub Time Machine 2</td>\n",
              "      <td>[{'id': 4379, 'name': 'time travel'}, {'id': 9...</td>\n",
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              "      <td>12314651</td>\n",
              "      <td>-1685349</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>[{'id': 107674, 'name': 'The Princess Diaries ...</td>\n",
              "      <td>40000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...</td>\n",
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              "      <td>en</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>Mia Thermopolis is now a college graduate and ...</td>\n",
              "      <td>8.248895</td>\n",
              "      <td>[{'name': 'Walt Disney Pictures', 'id': 2}]</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>8/6/04</td>\n",
              "      <td>113.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>It can take a lifetime to find true love; she'...</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>[{'id': 2505, 'name': 'coronation'}, {'id': 42...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Mia Thermopolis'...</td>\n",
              "      <td>[{'credit_id': '52fe43fe9251416c7502563d', 'de...</td>\n",
              "      <td>95149435</td>\n",
              "      <td>55149435</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3300000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}]</td>\n",
              "      <td>http://sonyclassics.com/whiplash/</td>\n",
              "      <td>tt2582802</td>\n",
              "      <td>en</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>Under the direction of a ruthless instructor, ...</td>\n",
              "      <td>64.299990</td>\n",
              "      <td>[{'name': 'Bold Films', 'id': 2266}, {'name': ...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>10/10/14</td>\n",
              "      <td>105.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The road to greatness can take you to the edge.</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>[{'id': 1416, 'name': 'jazz'}, {'id': 1523, 'n...</td>\n",
              "      <td>[{'cast_id': 5, 'character': 'Andrew Neimann',...</td>\n",
              "      <td>[{'credit_id': '54d5356ec3a3683ba0000039', 'de...</td>\n",
              "      <td>13092000</td>\n",
              "      <td>9792000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1200000</td>\n",
              "      <td>[{'id': 53, 'name': 'Thriller'}, {'id': 18, 'n...</td>\n",
              "      <td>http://kahaanithefilm.com/</td>\n",
              "      <td>tt1821480</td>\n",
              "      <td>hi</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>Vidya Bagchi (Vidya Balan) arrives in Kolkata ...</td>\n",
              "      <td>3.174936</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'IN', 'name': 'India'}]</td>\n",
              "      <td>3/9/12</td>\n",
              "      <td>122.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>[{'id': 10092, 'name': 'mystery'}, {'id': 1054...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Vidya Bagchi', '...</td>\n",
              "      <td>[{'credit_id': '52fe48779251416c9108d6eb', 'de...</td>\n",
              "      <td>16000000</td>\n",
              "      <td>14800000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 53, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt1380152</td>\n",
              "      <td>ko</td>\n",
              "      <td>마린보이</td>\n",
              "      <td>Marine Boy is the story of a former national s...</td>\n",
              "      <td>1.148070</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'KR', 'name': 'South Korea'}]</td>\n",
              "      <td>2/5/09</td>\n",
              "      <td>118.0</td>\n",
              "      <td>[{'iso_639_1': 'ko', 'name': '한국어/조선말'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Marine Boy</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 3, 'character': 'Chun-soo', 'cred...</td>\n",
              "      <td>[{'credit_id': '52fe464b9251416c75073b43', 'de...</td>\n",
              "      <td>3923970</td>\n",
              "      <td>3923970</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   id  ... movie_profit\n",
              "0   1  ...     -1685349\n",
              "1   2  ...     55149435\n",
              "2   3  ...      9792000\n",
              "3   4  ...     14800000\n",
              "4   5  ...      3923970\n",
              "\n",
              "[5 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 129
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QnUyQX-kho-A"
      },
      "source": [
        "## **We can do a lot of basic operations as well**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": true,
        "id": "jRno_OWGk1Sl",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2baaf869-954f-4769-d247-07d09552884a"
      },
      "source": [
        "# Find the sum of values in a column\n",
        "df['budget'].sum()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "67594002330"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 132
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PNZXXlufiIgn"
      },
      "source": [
        "# What if there is a null value\n",
        "df.loc[:1,'revenue'] = np.nan"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 408
        },
        "id": "fv-drI-KoyJM",
        "outputId": "0213b16b-d4b0-405c-ca70-b61279dd3eed"
      },
      "source": [
        "df.iloc[:5]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "      <th>movie_profit</th>\n",
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              "      <td>tt2637294</td>\n",
              "      <td>en</td>\n",
              "      <td>Hot Tub Time Machine 2</td>\n",
              "      <td>When Lou, who has become the \"father of the In...</td>\n",
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              "      <td>[{'name': 'Paramount Pictures', 'id': 4}, {'na...</td>\n",
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              "      <td>Hot Tub Time Machine 2</td>\n",
              "      <td>[{'id': 4379, 'name': 'time travel'}, {'id': 9...</td>\n",
              "      <td>[{'cast_id': 4, 'character': 'Lou', 'credit_id...</td>\n",
              "      <td>12314651</td>\n",
              "      <td>-1685349</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>[{'id': 107674, 'name': 'The Princess Diaries ...</td>\n",
              "      <td>40000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>tt0368933</td>\n",
              "      <td>en</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>Mia Thermopolis is now a college graduate and ...</td>\n",
              "      <td>8.248895</td>\n",
              "      <td>[{'name': 'Walt Disney Pictures', 'id': 2}]</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>8/6/04</td>\n",
              "      <td>113.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>It can take a lifetime to find true love; she'...</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>[{'id': 2505, 'name': 'coronation'}, {'id': 42...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Mia Thermopolis'...</td>\n",
              "      <td>95149435</td>\n",
              "      <td>55149435</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3300000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}]</td>\n",
              "      <td>http://sonyclassics.com/whiplash/</td>\n",
              "      <td>tt2582802</td>\n",
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              "      <td>Whiplash</td>\n",
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              "      <td>en</td>\n",
              "      <td>Hot Tub Time Machine 2</td>\n",
              "      <td>When Lou, who has become the \"father of the In...</td>\n",
              "      <td>6.575393</td>\n",
              "      <td>[{'name': 'Paramount Pictures', 'id': 4}, {'na...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>2/20/15</td>\n",
              "      <td>93.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The Laws of Space and Time are About to be Vio...</td>\n",
              "      <td>Hot Tub Time Machine 2</td>\n",
              "      <td>[{'id': 4379, 'name': 'time travel'}, {'id': 9...</td>\n",
              "      <td>[{'cast_id': 4, 'character': 'Lou', 'credit_id...</td>\n",
              "      <td>12314651</td>\n",
              "      <td>-1685349</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0368933</th>\n",
              "      <td>2</td>\n",
              "      <td>[{'id': 107674, 'name': 'The Princess Diaries ...</td>\n",
              "      <td>40000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>en</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>Mia Thermopolis is now a college graduate and ...</td>\n",
              "      <td>8.248895</td>\n",
              "      <td>[{'name': 'Walt Disney Pictures', 'id': 2}]</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>8/6/04</td>\n",
              "      <td>113.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>It can take a lifetime to find true love; she'...</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>[{'id': 2505, 'name': 'coronation'}, {'id': 42...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Mia Thermopolis'...</td>\n",
              "      <td>95149435</td>\n",
              "      <td>55149435</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           id  ... movie_profit\n",
              "imdb_id        ...             \n",
              "tt2637294   1  ...     -1685349\n",
              "tt0368933   2  ...     55149435\n",
              "\n",
              "[2 rows x 21 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 142
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "arnDuF9zifPg",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 618
        },
        "outputId": "4a241e83-80e0-483c-a3d9-ab0c41811a1f"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "</style>\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>belongs_to_collection</th>\n",
              "      <th>budget</th>\n",
              "      <th>genres</th>\n",
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              "      <th>spoken_languages</th>\n",
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              "      <th>title</th>\n",
              "      <th>Keywords</th>\n",
              "      <th>cast</th>\n",
              "      <th>crew</th>\n",
              "      <th>revenue</th>\n",
              "      <th>movie_profit</th>\n",
              "    </tr>\n",
              "  </thead>\n",
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              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
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              "      <td>55149435</td>\n",
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              "      <th>2</th>\n",
              "      <td>NaN</td>\n",
              "      <td>3300000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}]</td>\n",
              "      <td>http://sonyclassics.com/whiplash/</td>\n",
              "      <td>tt2582802</td>\n",
              "      <td>en</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>Under the direction of a ruthless instructor, ...</td>\n",
              "      <td>64.299990</td>\n",
              "      <td>[{'name': 'Bold Films', 'id': 2266}, {'name': ...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
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              "      <td>105.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The road to greatness can take you to the edge.</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>[{'id': 1416, 'name': 'jazz'}, {'id': 1523, 'n...</td>\n",
              "      <td>[{'cast_id': 5, 'character': 'Andrew Neimann',...</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>hi</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>Vidya Bagchi (Vidya Balan) arrives in Kolkata ...</td>\n",
              "      <td>3.174936</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'IN', 'name': 'India'}]</td>\n",
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              "      <td>122.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>[{'id': 10092, 'name': 'mystery'}, {'id': 1054...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Vidya Bagchi', '...</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 53, 'nam...</td>\n",
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              "      <td>tt1380152</td>\n",
              "      <td>ko</td>\n",
              "      <td>마린보이</td>\n",
              "      <td>Marine Boy is the story of a former national s...</td>\n",
              "      <td>1.148070</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'KR', 'name': 'South Korea'}]</td>\n",
              "      <td>2/5/09</td>\n",
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              "      <td>[{'iso_639_1': 'ko', 'name': '한국어/조선말'}]</td>\n",
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              "      <td>Marine Boy</td>\n",
              "      <td>NaN</td>\n",
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              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                               belongs_to_collection  ...  movie_profit\n",
              "0  [{'id': 313576, 'name': 'Hot Tub Time Machine ...  ...      -1685349\n",
              "1  [{'id': 107674, 'name': 'The Princess Diaries ...  ...      55149435\n",
              "2                                                NaN  ...       9792000\n",
              "3                                                NaN  ...      14800000\n",
              "4                                                NaN  ...       3923970\n",
              "\n",
              "[5 rows x 22 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sPZWly5qiZFZ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7469aea9-1540-4410-f0a1-d796948988b3"
      },
      "source": [
        "df['runtime'].sum()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "323354.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 143
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WWqlVLwZhvvO",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "5be482dc-74e7-49d4-a09b-68f8eebd4287"
      },
      "source": [
        "print(f\" The shortest movie length is {df['runtime'].min()}\")\n",
        "print(f\" The largest movie length is {df['runtime'].max()}\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " The shortest movie length is 0.0\n",
            " The largest movie length is 338.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "tThT17UrNsnU",
        "outputId": "5a2b0237-e917-4c45-846a-c05184fb55c0"
      },
      "source": [
        "df[df['runtime']== 0.0]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>it</td>\n",
              "      <td>Il peggior Natale della mia vita</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.800073</td>\n",
              "      <td>[{'name': 'Colorado Film Production', 'id': 10...</td>\n",
              "      <td>[{'iso_3166_1': 'IT', 'name': 'Italy'}]</td>\n",
              "      <td>12/22/12</td>\n",
              "      <td>0.0</td>\n",
              "      <td>[{'iso_639_1': 'it', 'name': 'Italiano'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>The Worst Christmas of My Life</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 2, 'character': 'Alberto', 'credi...</td>\n",
              "      <td>10703234</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>ru</td>\n",
              "      <td>А поутру они проснулись</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.402368</td>\n",
              "      <td>[{'name': 'Роскинопрокат', 'id': 14650}, {'nam...</td>\n",
              "      <td>[{'iso_3166_1': 'RU', 'name': 'Russia'}]</td>\n",
              "      <td>12/4/03</td>\n",
              "      <td>0.0</td>\n",
              "      <td>[{'iso_639_1': 'ru', 'name': 'Pусский'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>А поутру они проснулись</td>\n",
              "      <td>[{'id': 4897, 'name': 'multiple character'}, {...</td>\n",
              "      <td>[{'cast_id': 8, 'character': '', 'credit_id': ...</td>\n",
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              "      <td>925</td>\n",
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              "      <td>es</td>\n",
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              "      <td>It tells the story of two young friends who mu...</td>\n",
              "      <td>1.926826</td>\n",
              "      <td>[{'name': 'Televisión Española (TVE)', 'id': 6...</td>\n",
              "      <td>[{'iso_3166_1': 'ES', 'name': 'Spain'}]</td>\n",
              "      <td>11/15/13</td>\n",
              "      <td>0.0</td>\n",
              "      <td>[{'iso_639_1': 'es', 'name': 'Español'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>¿Quién mató a Bambi?</td>\n",
              "      <td>[{'id': 1930, 'name': 'kidnapping'}, {'id': 97...</td>\n",
              "      <td>[{'cast_id': 3, 'character': 'David', 'credit_...</td>\n",
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              "      <td>850259</td>\n",
              "    </tr>\n",
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              "      <td>978</td>\n",
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              "      <td>[{'id': 35, 'name': 'Comedy'}]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>it</td>\n",
              "      <td>La peggior settimana della mia vita</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.010563</td>\n",
              "      <td>[{'name': 'Colorado Film Production', 'id': 10...</td>\n",
              "      <td>[{'iso_3166_1': 'IT', 'name': 'Italy'}]</td>\n",
              "      <td>10/27/11</td>\n",
              "      <td>0.0</td>\n",
              "      <td>[{'iso_639_1': 'it', 'name': 'Italiano'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>La peggior settimana della mia vita</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 4, 'character': 'Paolo', 'credit_...</td>\n",
              "      <td>12935800</td>\n",
              "      <td>1935800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0072785</th>\n",
              "      <td>1256</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 37, 'name': 'Western'}]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>it</td>\n",
              "      <td>Cipolla Colt</td>\n",
              "      <td>Onion Jack (Franco Nero) has bought a piece of...</td>\n",
              "      <td>1.623440</td>\n",
              "      <td>[{'name': 'Compagnia Cinematografica Champion'...</td>\n",
              "      <td>[{'iso_3166_1': 'IT', 'name': 'Italy'}, {'iso_...</td>\n",
              "      <td>8/25/75</td>\n",
              "      <td>0.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Cry, Onion!</td>\n",
              "      <td>[{'id': 156212, 'name': 'spaghetti western'}]</td>\n",
              "      <td>[{'cast_id': 14, 'character': 'Onion Stark', '...</td>\n",
              "      <td>39598448</td>\n",
              "      <td>39598448</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt3805180</th>\n",
              "      <td>1542</td>\n",
              "      <td>NaN</td>\n",
              "      <td>750000</td>\n",
              "      <td>[{'id': 80, 'name': 'Crime'}, {'id': 35, 'name...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ru</td>\n",
              "      <td>Все и сразу</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.201582</td>\n",
              "      <td>[{'name': 'Кинокомпания «Lunapark»', 'id': 420...</td>\n",
              "      <td>[{'iso_3166_1': 'RU', 'name': 'Russia'}]</td>\n",
              "      <td>6/5/14</td>\n",
              "      <td>0.0</td>\n",
              "      <td>[{'iso_639_1': 'ru', 'name': 'Pусский'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>All at Once</td>\n",
              "      <td>[{'id': 642, 'name': 'robbery'}, {'id': 231149...</td>\n",
              "      <td>[{'cast_id': 3, 'character': 'Viktor', 'credit...</td>\n",
              "      <td>3</td>\n",
              "      <td>-749997</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt1133617</th>\n",
              "      <td>1875</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 80, 'name': 'Crime'}, {'id': 18, 'name...</td>\n",
              "      <td>http://www.vt4.be/vermist</td>\n",
              "      <td>en</td>\n",
              "      <td>Vermist</td>\n",
              "      <td>Five members of the Missing Persons Task Force...</td>\n",
              "      <td>0.229233</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'BE', 'name': 'Belgium'}]</td>\n",
              "      <td>1/1/07</td>\n",
              "      <td>0.0</td>\n",
              "      <td>[{'iso_639_1': 'nl', 'name': 'Nederlands'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Missing</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 2, 'character': 'Murat Hoxha', 'c...</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0477337</th>\n",
              "      <td>2151</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5000000</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 10749, '...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ru</td>\n",
              "      <td>Mechenosets</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.414793</td>\n",
              "      <td>[{'name': 'Kinokompaniya CTB', 'id': 886}]</td>\n",
              "      <td>[{'iso_3166_1': 'RU', 'name': 'Russia'}]</td>\n",
              "      <td>10/12/06</td>\n",
              "      <td>0.0</td>\n",
              "      <td>[{'iso_639_1': 'ru', 'name': 'Pусский'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Mechenosets</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 2, 'character': 'Sasha', 'credit_...</td>\n",
              "      <td>3919731</td>\n",
              "      <td>-1080269</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt1620549</th>\n",
              "      <td>2499</td>\n",
              "      <td>[{'id': 106790, 'name': 'Hooked Collection', '...</td>\n",
              "      <td>3500000</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 878, 'na...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ru</td>\n",
              "      <td>Na Igre 2. Novyy Uroven</td>\n",
              "      <td>The continuation of the adventures of the hero...</td>\n",
              "      <td>0.884241</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'RU', 'name': 'Russia'}]</td>\n",
              "      <td>4/15/10</td>\n",
              "      <td>0.0</td>\n",
              "      <td>[{'iso_639_1': 'ru', 'name': 'Pусский'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Hooked on the Game 2. The Next Level</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 10, 'character': 'Vampire', 'cred...</td>\n",
              "      <td>2294357</td>\n",
              "      <td>-1205643</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt3956312</th>\n",
              "      <td>2646</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 10749, 'name': 'Romance'}]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>en</td>\n",
              "      <td>同桌的妳</td>\n",
              "      <td>In the summer of 1993, timid and shy Zhou Xiao...</td>\n",
              "      <td>0.504000</td>\n",
              "      <td>[{'name': 'Enlight Pictures', 'id': 4053}]</td>\n",
              "      <td>[{'iso_3166_1': 'CN', 'name': 'China'}]</td>\n",
              "      <td>4/25/14</td>\n",
              "      <td>0.0</td>\n",
              "      <td>[{'iso_639_1': 'zh', 'name': '普通话'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>My Old Classmate</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 0, 'character': 'Zhou Xiao Zhi', ...</td>\n",
              "      <td>76000000</td>\n",
              "      <td>76000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0278675</th>\n",
              "      <td>2786</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 14, 'name': 'Fantasy'}, {'id': 27, 'na...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>fr</td>\n",
              "      <td>Revelation</td>\n",
              "      <td>Since A.D. 50, a mysterious sacred artifact kn...</td>\n",
              "      <td>0.625099</td>\n",
              "      <td>[{'name': 'Romulus Films', 'id': 3632}, {'name...</td>\n",
              "      <td>[{'iso_3166_1': 'GB', 'name': 'United Kingdom'}]</td>\n",
              "      <td>4/12/01</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Revelation</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Jake Martel', 'c...</td>\n",
              "      <td>10000000</td>\n",
              "      <td>10000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt2456720</th>\n",
              "      <td>2866</td>\n",
              "      <td>[{'id': 188197, 'name': 'Cetto La Qualunque - ...</td>\n",
              "      <td>5579750</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>it</td>\n",
              "      <td>Tutto tutto niente niente</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.208906</td>\n",
              "      <td>[{'name': 'Fandango', 'id': 2441}, {'name': 'R...</td>\n",
              "      <td>[{'iso_3166_1': 'IT', 'name': 'Italy'}]</td>\n",
              "      <td>11/30/12</td>\n",
              "      <td>0.0</td>\n",
              "      <td>[{'iso_639_1': 'it', 'name': 'Italiano'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Tutto tutto niente niente</td>\n",
              "      <td>[{'id': 8201, 'name': 'satire'}, {'id': 33501,...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Cetto La Qualunq...</td>\n",
              "      <td>8927600</td>\n",
              "      <td>3347850</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             id  ... movie_profit\n",
              "imdb_id          ...             \n",
              "tt2550838   391  ...      3859734\n",
              "tt0768690   592  ...       234748\n",
              "tt2604346   925  ...       850259\n",
              "tt2076251   978  ...      1935800\n",
              "tt0072785  1256  ...     39598448\n",
              "tt3805180  1542  ...      -749997\n",
              "tt1133617  1875  ...            1\n",
              "tt0477337  2151  ...     -1080269\n",
              "tt1620549  2499  ...     -1205643\n",
              "tt3956312  2646  ...     76000000\n",
              "tt0278675  2786  ...     10000000\n",
              "tt2456720  2866  ...      3347850\n",
              "\n",
              "[12 rows x 21 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 145
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "u6rQBvJIkSms"
      },
      "source": [
        "# **<code>apply()</code>** method applies a function to every row in a pandas dataframe"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ds2RpGRakR0I"
      },
      "source": [
        "# Suppose we want to convert the column network to uppercase\n",
        "\n",
        "def to_uppercase(column):\n",
        "  return column.upper()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IbV_BDFrlD0n"
      },
      "source": [
        "df['Capitalized_title'] = df['title'].apply(to_uppercase)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QaZsaDD2lQE8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 648
        },
        "outputId": "df18fc46-8b89-4752-fad5-39ff7423f03f"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>belongs_to_collection</th>\n",
              "      <th>budget</th>\n",
              "      <th>genres</th>\n",
              "      <th>homepage</th>\n",
              "      <th>original_language</th>\n",
              "      <th>original_title</th>\n",
              "      <th>overview</th>\n",
              "      <th>popularity</th>\n",
              "      <th>production_companies</th>\n",
              "      <th>production_countries</th>\n",
              "      <th>release_date</th>\n",
              "      <th>runtime</th>\n",
              "      <th>spoken_languages</th>\n",
              "      <th>status</th>\n",
              "      <th>tagline</th>\n",
              "      <th>title</th>\n",
              "      <th>Keywords</th>\n",
              "      <th>cast</th>\n",
              "      <th>revenue</th>\n",
              "      <th>movie_profit</th>\n",
              "      <th>Capitalized_title</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>imdb_id</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>tt2637294</th>\n",
              "      <td>1</td>\n",
              "      <td>[{'id': 313576, 'name': 'Hot Tub Time Machine ...</td>\n",
              "      <td>14000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>en</td>\n",
              "      <td>Hot Tub Time Machine 2</td>\n",
              "      <td>When Lou, who has become the \"father of the In...</td>\n",
              "      <td>6.575393</td>\n",
              "      <td>[{'name': 'Paramount Pictures', 'id': 4}, {'na...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>2/20/15</td>\n",
              "      <td>93.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The Laws of Space and Time are About to be Vio...</td>\n",
              "      <td>Hot Tub Time Machine 2</td>\n",
              "      <td>[{'id': 4379, 'name': 'time travel'}, {'id': 9...</td>\n",
              "      <td>[{'cast_id': 4, 'character': 'Lou', 'credit_id...</td>\n",
              "      <td>12314651</td>\n",
              "      <td>-1685349</td>\n",
              "      <td>HOT TUB TIME MACHINE 2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0368933</th>\n",
              "      <td>2</td>\n",
              "      <td>[{'id': 107674, 'name': 'The Princess Diaries ...</td>\n",
              "      <td>40000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>en</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>Mia Thermopolis is now a college graduate and ...</td>\n",
              "      <td>8.248895</td>\n",
              "      <td>[{'name': 'Walt Disney Pictures', 'id': 2}]</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>8/6/04</td>\n",
              "      <td>113.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>It can take a lifetime to find true love; she'...</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>[{'id': 2505, 'name': 'coronation'}, {'id': 42...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Mia Thermopolis'...</td>\n",
              "      <td>95149435</td>\n",
              "      <td>55149435</td>\n",
              "      <td>THE PRINCESS DIARIES 2: ROYAL ENGAGEMENT</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt2582802</th>\n",
              "      <td>3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3300000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}]</td>\n",
              "      <td>http://sonyclassics.com/whiplash/</td>\n",
              "      <td>en</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>Under the direction of a ruthless instructor, ...</td>\n",
              "      <td>64.299990</td>\n",
              "      <td>[{'name': 'Bold Films', 'id': 2266}, {'name': ...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>10/10/14</td>\n",
              "      <td>105.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The road to greatness can take you to the edge.</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>[{'id': 1416, 'name': 'jazz'}, {'id': 1523, 'n...</td>\n",
              "      <td>[{'cast_id': 5, 'character': 'Andrew Neimann',...</td>\n",
              "      <td>13092000</td>\n",
              "      <td>9792000</td>\n",
              "      <td>WHIPLASH</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt1821480</th>\n",
              "      <td>4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1200000</td>\n",
              "      <td>[{'id': 53, 'name': 'Thriller'}, {'id': 18, 'n...</td>\n",
              "      <td>http://kahaanithefilm.com/</td>\n",
              "      <td>hi</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>Vidya Bagchi (Vidya Balan) arrives in Kolkata ...</td>\n",
              "      <td>3.174936</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'IN', 'name': 'India'}]</td>\n",
              "      <td>3/9/12</td>\n",
              "      <td>122.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>[{'id': 10092, 'name': 'mystery'}, {'id': 1054...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Vidya Bagchi', '...</td>\n",
              "      <td>16000000</td>\n",
              "      <td>14800000</td>\n",
              "      <td>KAHAANI</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt1380152</th>\n",
              "      <td>5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 53, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ko</td>\n",
              "      <td>마린보이</td>\n",
              "      <td>Marine Boy is the story of a former national s...</td>\n",
              "      <td>1.148070</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'KR', 'name': 'South Korea'}]</td>\n",
              "      <td>2/5/09</td>\n",
              "      <td>118.0</td>\n",
              "      <td>[{'iso_639_1': 'ko', 'name': '한국어/조선말'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Marine Boy</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 3, 'character': 'Chun-soo', 'cred...</td>\n",
              "      <td>3923970</td>\n",
              "      <td>3923970</td>\n",
              "      <td>MARINE BOY</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           id  ...                         Capitalized_title\n",
              "imdb_id        ...                                          \n",
              "tt2637294   1  ...                    HOT TUB TIME MACHINE 2\n",
              "tt0368933   2  ...  THE PRINCESS DIARIES 2: ROYAL ENGAGEMENT\n",
              "tt2582802   3  ...                                  WHIPLASH\n",
              "tt1821480   4  ...                                   KAHAANI\n",
              "tt1380152   5  ...                                MARINE BOY\n",
              "\n",
              "[5 rows x 22 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 148
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cucoXZLwmzZr"
      },
      "source": [
        "## Another way to use <code>apply()</code> involves the use of <code>lambda()</code> function.\n",
        "\n",
        "* ### A <code>lambda()</code> function is a small anonymous function.\n",
        "* ### A <code>lambda()</code> function can take any number of arguments, but can only have one expression."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D1dtPuhBtjky"
      },
      "source": [
        "def add_two_numbers(a,b):\n",
        "  return a+b"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dT1U4E2c-ygm",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "096034a0-0ed6-47fd-fbf2-a6d1fc47ab36"
      },
      "source": [
        "x = lambda a,b : a+b\n",
        "x(1,5)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "6"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 150
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OPQbCLETt7jI"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qn2sQAfdk1Su"
      },
      "source": [
        "# lambda function - Row wise operation\n",
        "def revised_profit(revenue, budget):\n",
        "  if revenue > 0:\n",
        "    new_profit = revenue - budget\n",
        "  else:\n",
        "    new_profit = np.nan\n",
        "    \n",
        "  return new_profit"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bajSQhDSm-Qr"
      },
      "source": [
        "df['new_profit'] = df.apply(lambda x: revised_profit(x['revenue'], x['budget']),axis=1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vqDB00iEk1Sx",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 648
        },
        "outputId": "ee3b1ece-8ce3-4ca7-8bf9-abbfb3d3f1fb"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<div>\n",
              "<style scoped>\n",
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              "</style>\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>belongs_to_collection</th>\n",
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              "      <th>production_companies</th>\n",
              "      <th>production_countries</th>\n",
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              "      <th>Keywords</th>\n",
              "      <th>cast</th>\n",
              "      <th>revenue</th>\n",
              "      <th>movie_profit</th>\n",
              "      <th>Capitalized_title</th>\n",
              "      <th>new_profit</th>\n",
              "    </tr>\n",
              "    <tr>\n",
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              "      <td>14000000</td>\n",
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              "      <td>-1685349</td>\n",
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              "      <th>tt0368933</th>\n",
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              "      <td>40000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>en</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>Mia Thermopolis is now a college graduate and ...</td>\n",
              "      <td>8.248895</td>\n",
              "      <td>[{'name': 'Walt Disney Pictures', 'id': 2}]</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>8/6/04</td>\n",
              "      <td>113.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>It can take a lifetime to find true love; she'...</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>[{'id': 2505, 'name': 'coronation'}, {'id': 42...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Mia Thermopolis'...</td>\n",
              "      <td>95149435</td>\n",
              "      <td>55149435</td>\n",
              "      <td>THE PRINCESS DIARIES 2: ROYAL ENGAGEMENT</td>\n",
              "      <td>55149435</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt2582802</th>\n",
              "      <td>3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3300000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}]</td>\n",
              "      <td>http://sonyclassics.com/whiplash/</td>\n",
              "      <td>en</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>Under the direction of a ruthless instructor, ...</td>\n",
              "      <td>64.299990</td>\n",
              "      <td>[{'name': 'Bold Films', 'id': 2266}, {'name': ...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>10/10/14</td>\n",
              "      <td>105.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The road to greatness can take you to the edge.</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>[{'id': 1416, 'name': 'jazz'}, {'id': 1523, 'n...</td>\n",
              "      <td>[{'cast_id': 5, 'character': 'Andrew Neimann',...</td>\n",
              "      <td>13092000</td>\n",
              "      <td>9792000</td>\n",
              "      <td>WHIPLASH</td>\n",
              "      <td>9792000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt1821480</th>\n",
              "      <td>4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1200000</td>\n",
              "      <td>[{'id': 53, 'name': 'Thriller'}, {'id': 18, 'n...</td>\n",
              "      <td>http://kahaanithefilm.com/</td>\n",
              "      <td>hi</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>Vidya Bagchi (Vidya Balan) arrives in Kolkata ...</td>\n",
              "      <td>3.174936</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'IN', 'name': 'India'}]</td>\n",
              "      <td>3/9/12</td>\n",
              "      <td>122.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>[{'id': 10092, 'name': 'mystery'}, {'id': 1054...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Vidya Bagchi', '...</td>\n",
              "      <td>16000000</td>\n",
              "      <td>14800000</td>\n",
              "      <td>KAHAANI</td>\n",
              "      <td>14800000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt1380152</th>\n",
              "      <td>5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 53, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ko</td>\n",
              "      <td>마린보이</td>\n",
              "      <td>Marine Boy is the story of a former national s...</td>\n",
              "      <td>1.148070</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'KR', 'name': 'South Korea'}]</td>\n",
              "      <td>2/5/09</td>\n",
              "      <td>118.0</td>\n",
              "      <td>[{'iso_639_1': 'ko', 'name': '한국어/조선말'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Marine Boy</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 3, 'character': 'Chun-soo', 'cred...</td>\n",
              "      <td>3923970</td>\n",
              "      <td>3923970</td>\n",
              "      <td>MARINE BOY</td>\n",
              "      <td>3923970</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           id  ... new_profit\n",
              "imdb_id        ...           \n",
              "tt2637294   1  ...   -1685349\n",
              "tt0368933   2  ...   55149435\n",
              "tt2582802   3  ...    9792000\n",
              "tt1821480   4  ...   14800000\n",
              "tt1380152   5  ...    3923970\n",
              "\n",
              "[5 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 153
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U_TloE8zo0uT"
      },
      "source": [
        "## We can also sort our dataframe by some column values in either an ascending or descending order"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": true,
        "id": "SC5bPMNKk1S1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "bf69dc9f-1821-4c89-a165-4dc2743139a5"
      },
      "source": [
        "# Sort values in descending order\n",
        "df.sort_values('runtime', ascending=False)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>belongs_to_collection</th>\n",
              "      <th>budget</th>\n",
              "      <th>genres</th>\n",
              "      <th>homepage</th>\n",
              "      <th>original_language</th>\n",
              "      <th>original_title</th>\n",
              "      <th>overview</th>\n",
              "      <th>popularity</th>\n",
              "      <th>production_companies</th>\n",
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              "      <th>revenue</th>\n",
              "      <th>movie_profit</th>\n",
              "      <th>Capitalized_title</th>\n",
              "      <th>new_profit</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>imdb_id</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "      <th></th>\n",
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              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "      <th>tt1321865</th>\n",
              "      <td>1212</td>\n",
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              "      <td>en</td>\n",
              "      <td>Carlos</td>\n",
              "      <td>The story of Venezuelan revolutionary, Ilich R...</td>\n",
              "      <td>4.558075</td>\n",
              "      <td>[{'name': 'Egoli Tossell Film AG', 'id': 2254}...</td>\n",
              "      <td>[{'iso_3166_1': 'FR', 'name': 'France'}, {'iso...</td>\n",
              "      <td>5/19/10</td>\n",
              "      <td>338.0</td>\n",
              "      <td>[{'iso_639_1': 'fr', 'name': 'Français'}, {'is...</td>\n",
              "      <td>Released</td>\n",
              "      <td>The man who hijacked the world</td>\n",
              "      <td>Carlos</td>\n",
              "      <td>[{'id': 1419, 'name': 'gun'}, {'id': 7336, 'na...</td>\n",
              "      <td>[{'cast_id': 4, 'character': \"Ilich Ram√≠rez S...</td>\n",
              "      <td>871279</td>\n",
              "      <td>-17128721</td>\n",
              "      <td>CARLOS</td>\n",
              "      <td>-17128721</td>\n",
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              "    <tr>\n",
              "      <th>tt0056937</th>\n",
              "      <td>1923</td>\n",
              "      <td>NaN</td>\n",
              "      <td>31115000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}, {'id': 36, 'name...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>en</td>\n",
              "      <td>Cleopatra</td>\n",
              "      <td>Historical epic. The triumphs and tragedy of t...</td>\n",
              "      <td>8.591238</td>\n",
              "      <td>[{'name': 'Twentieth Century Fox Film Corporat...</td>\n",
              "      <td>[{'iso_3166_1': 'GB', 'name': 'United Kingdom'...</td>\n",
              "      <td>6/12/63</td>\n",
              "      <td>248.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>The motion picture the world has been waiting ...</td>\n",
              "      <td>Cleopatra</td>\n",
              "      <td>[{'id': 5049, 'name': 'ancient rome'}, {'id': ...</td>\n",
              "      <td>[{'cast_id': 2, 'character': 'Cleopatra', 'cre...</td>\n",
              "      <td>71000000</td>\n",
              "      <td>39885000</td>\n",
              "      <td>CLEOPATRA</td>\n",
              "      <td>39885000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0049833</th>\n",
              "      <td>524</td>\n",
              "      <td>NaN</td>\n",
              "      <td>13000000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}, {'id': 36, 'name...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>en</td>\n",
              "      <td>The Ten Commandments</td>\n",
              "      <td>Escaping death, a Hebrew infant is raised in a...</td>\n",
              "      <td>11.147040</td>\n",
              "      <td>[{'name': 'Paramount Pictures', 'id': 4}, {'na...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>10/5/56</td>\n",
              "      <td>220.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>The Ten Commandments</td>\n",
              "      <td>[{'id': 1160, 'name': 'egypt'}, {'id': 2618, '...</td>\n",
              "      <td>[{'cast_id': 9, 'character': 'Moses', 'credit_...</td>\n",
              "      <td>122700000</td>\n",
              "      <td>109700000</td>\n",
              "      <td>THE TEN COMMANDMENTS</td>\n",
              "      <td>109700000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0080855</th>\n",
              "      <td>1303</td>\n",
              "      <td>NaN</td>\n",
              "      <td>44000000</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 18, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>en</td>\n",
              "      <td>Heaven's Gate</td>\n",
              "      <td>Harvard graduate James Averill (Kris Kristoffe...</td>\n",
              "      <td>4.393576</td>\n",
              "      <td>[{'name': 'United Artists', 'id': 60}, {'name'...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>11/19/80</td>\n",
              "      <td>219.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>The only thing greater than their passion for ...</td>\n",
              "      <td>Heaven's Gate</td>\n",
              "      <td>[{'id': 680, 'name': 'montana'}, {'id': 797, '...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'James Averill', ...</td>\n",
              "      <td>3484331</td>\n",
              "      <td>-40515669</td>\n",
              "      <td>HEAVEN'S GATE</td>\n",
              "      <td>-40515669</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0279111</th>\n",
              "      <td>1915</td>\n",
              "      <td>NaN</td>\n",
              "      <td>56000000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}, {'id': 36, 'name...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>en</td>\n",
              "      <td>Gods and Generals</td>\n",
              "      <td>The film centers mostly around the personal an...</td>\n",
              "      <td>5.374563</td>\n",
              "      <td>[{'name': 'Warner Bros. Pictures', 'id': 174},...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>2/21/03</td>\n",
              "      <td>214.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The nations heart was touched by...</td>\n",
              "      <td>Gods and Generals</td>\n",
              "      <td>[{'id': 6091, 'name': 'war'}, {'id': 14643, 'n...</td>\n",
              "      <td>[{'cast_id': 3, 'character': 'Lt. Gen. Thomas ...</td>\n",
              "      <td>12923936</td>\n",
              "      <td>-43076064</td>\n",
              "      <td>GODS AND GENERALS</td>\n",
              "      <td>-43076064</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0278675</th>\n",
              "      <td>2786</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 14, 'name': 'Fantasy'}, {'id': 27, 'na...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>fr</td>\n",
              "      <td>Revelation</td>\n",
              "      <td>Since A.D. 50, a mysterious sacred artifact kn...</td>\n",
              "      <td>0.625099</td>\n",
              "      <td>[{'name': 'Romulus Films', 'id': 3632}, {'name...</td>\n",
              "      <td>[{'iso_3166_1': 'GB', 'name': 'United Kingdom'}]</td>\n",
              "      <td>4/12/01</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Revelation</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Jake Martel', 'c...</td>\n",
              "      <td>10000000</td>\n",
              "      <td>10000000</td>\n",
              "      <td>REVELATION</td>\n",
              "      <td>10000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt2456720</th>\n",
              "      <td>2866</td>\n",
              "      <td>[{'id': 188197, 'name': 'Cetto La Qualunque - ...</td>\n",
              "      <td>5579750</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>it</td>\n",
              "      <td>Tutto tutto niente niente</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.208906</td>\n",
              "      <td>[{'name': 'Fandango', 'id': 2441}, {'name': 'R...</td>\n",
              "      <td>[{'iso_3166_1': 'IT', 'name': 'Italy'}]</td>\n",
              "      <td>11/30/12</td>\n",
              "      <td>0.0</td>\n",
              "      <td>[{'iso_639_1': 'it', 'name': 'Italiano'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Tutto tutto niente niente</td>\n",
              "      <td>[{'id': 8201, 'name': 'satire'}, {'id': 33501,...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Cetto La Qualunq...</td>\n",
              "      <td>8927600</td>\n",
              "      <td>3347850</td>\n",
              "      <td>TUTTO TUTTO NIENTE NIENTE</td>\n",
              "      <td>3347850</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt1620549</th>\n",
              "      <td>2499</td>\n",
              "      <td>[{'id': 106790, 'name': 'Hooked Collection', '...</td>\n",
              "      <td>3500000</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 878, 'na...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ru</td>\n",
              "      <td>Na Igre 2. Novyy Uroven</td>\n",
              "      <td>The continuation of the adventures of the hero...</td>\n",
              "      <td>0.884241</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'RU', 'name': 'Russia'}]</td>\n",
              "      <td>4/15/10</td>\n",
              "      <td>0.0</td>\n",
              "      <td>[{'iso_639_1': 'ru', 'name': 'Pусский'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Hooked on the Game 2. The Next Level</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 10, 'character': 'Vampire', 'cred...</td>\n",
              "      <td>2294357</td>\n",
              "      <td>-1205643</td>\n",
              "      <td>HOOKED ON THE GAME 2. THE NEXT LEVEL</td>\n",
              "      <td>-1205643</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt1107828</th>\n",
              "      <td>1336</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6000000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ru</td>\n",
              "      <td>Королёв</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.292296</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>10/29/07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Королёв</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 3, 'character': '–°–µ—Ä–≥–µ–π –ö–...</td>\n",
              "      <td>31000</td>\n",
              "      <td>-5969000</td>\n",
              "      <td>КОРОЛЁВ</td>\n",
              "      <td>-5969000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0116485</th>\n",
              "      <td>2303</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>de</td>\n",
              "      <td>Happy Weekend</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.002229</td>\n",
              "      <td>[{'name': 'Senator Film Produktion', 'id': 191}]</td>\n",
              "      <td>[{'iso_3166_1': 'DE', 'name': 'Germany'}]</td>\n",
              "      <td>3/14/96</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_639_1': 'de', 'name': 'Deutsch'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Happy Weekend</td>\n",
              "      <td>[{'id': 572, 'name': 'sex'}, {'id': 596, 'name...</td>\n",
              "      <td>[{'cast_id': 0, 'character': 'Joachim Krippo',...</td>\n",
              "      <td>65335</td>\n",
              "      <td>65335</td>\n",
              "      <td>HAPPY WEEKEND</td>\n",
              "      <td>65335</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3000 rows × 23 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id  ... new_profit\n",
              "imdb_id          ...           \n",
              "tt1321865  1212  ...  -17128721\n",
              "tt0056937  1923  ...   39885000\n",
              "tt0049833   524  ...  109700000\n",
              "tt0080855  1303  ...  -40515669\n",
              "tt0279111  1915  ...  -43076064\n",
              "...         ...  ...        ...\n",
              "tt0278675  2786  ...   10000000\n",
              "tt2456720  2866  ...    3347850\n",
              "tt1620549  2499  ...   -1205643\n",
              "tt1107828  1336  ...   -5969000\n",
              "tt0116485  2303  ...      65335\n",
              "\n",
              "[3000 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 154
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WfAIBRp3k1S3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 648
        },
        "outputId": "2f9358b0-b250-4f2d-cb88-2f2527ece53b"
      },
      "source": [
        "# We can also sort by the combination of two columns\n",
        "df.sort_values(['status','new_profit'], ascending=[False,True]).head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>belongs_to_collection</th>\n",
              "      <th>budget</th>\n",
              "      <th>genres</th>\n",
              "      <th>homepage</th>\n",
              "      <th>original_language</th>\n",
              "      <th>original_title</th>\n",
              "      <th>overview</th>\n",
              "      <th>popularity</th>\n",
              "      <th>production_companies</th>\n",
              "      <th>production_countries</th>\n",
              "      <th>release_date</th>\n",
              "      <th>runtime</th>\n",
              "      <th>spoken_languages</th>\n",
              "      <th>status</th>\n",
              "      <th>tagline</th>\n",
              "      <th>title</th>\n",
              "      <th>Keywords</th>\n",
              "      <th>cast</th>\n",
              "      <th>revenue</th>\n",
              "      <th>movie_profit</th>\n",
              "      <th>Capitalized_title</th>\n",
              "      <th>new_profit</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>imdb_id</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>tt0145394</th>\n",
              "      <td>1619</td>\n",
              "      <td>NaN</td>\n",
              "      <td>891000</td>\n",
              "      <td>[{'id': 99, 'name': 'Documentary'}]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>en</td>\n",
              "      <td>A Place Called Chiapas</td>\n",
              "      <td>On January 1, 1994, the Zapatista National Lib...</td>\n",
              "      <td>0.179246</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'CA', 'name': 'Canada'}]</td>\n",
              "      <td>2/20/98</td>\n",
              "      <td>89.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Rumored</td>\n",
              "      <td>Inside the world's first postmodern revolution</td>\n",
              "      <td>A Place Called Chiapas</td>\n",
              "      <td>[{'id': 187056, 'name': 'woman director'}]</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Himself', 'credi...</td>\n",
              "      <td>229000</td>\n",
              "      <td>-662000</td>\n",
              "      <td>A PLACE CALLED CHIAPAS</td>\n",
              "      <td>-662000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt1860180</th>\n",
              "      <td>1008</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>en</td>\n",
              "      <td>Billy Gardell: Halftime</td>\n",
              "      <td>Billy Gardell, the star of CBS' hit comedy \"Mi...</td>\n",
              "      <td>0.007877</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>2/5/11</td>\n",
              "      <td>60.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Rumored</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Billy Gardell: Halftime</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 9, 'character': 'Himself', 'credi...</td>\n",
              "      <td>60</td>\n",
              "      <td>60</td>\n",
              "      <td>BILLY GARDELL: HALFTIME</td>\n",
              "      <td>60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0120254</th>\n",
              "      <td>610</td>\n",
              "      <td>[{'id': 144200, 'name': 'Swan Princess Series'...</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 14, 'name': 'Fantasy'}, {'id': 16, 'na...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>en</td>\n",
              "      <td>The Swan Princess: Escape from Castle Mountain</td>\n",
              "      <td>The first wedding anniversary of Princess Odet...</td>\n",
              "      <td>5.121309</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1/1/97</td>\n",
              "      <td>71.0</td>\n",
              "      <td>[{'iso_639_1': 'da', 'name': 'Dansk'}, {'iso_6...</td>\n",
              "      <td>Rumored</td>\n",
              "      <td>It Will Take All Her Magic to Rescue Her Friends!</td>\n",
              "      <td>The Swan Princess: Escape from Castle Mountain</td>\n",
              "      <td>[{'id': 3071, 'name': 'prince'}, {'id': 4456, ...</td>\n",
              "      <td>[{'cast_id': 2, 'character': 'Odette (voice)',...</td>\n",
              "      <td>273644</td>\n",
              "      <td>273644</td>\n",
              "      <td>THE SWAN PRINCESS: ESCAPE FROM CASTLE MOUNTAIN</td>\n",
              "      <td>273644</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0091024</th>\n",
              "      <td>1217</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}, {'id': 53, 'name...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>en</td>\n",
              "      <td>Extremities</td>\n",
              "      <td>A woman escapes from the man who is about to r...</td>\n",
              "      <td>10.273979</td>\n",
              "      <td>[{'name': 'Atlantic Entertainment Group', 'id'...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>8/22/86</td>\n",
              "      <td>89.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Rumored</td>\n",
              "      <td>When fear made her a victim, she turned fear i...</td>\n",
              "      <td>Extremities</td>\n",
              "      <td>[{'id': 2483, 'name': 'nudity'}, {'id': 2539, ...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Marjorie', 'cred...</td>\n",
              "      <td>13418091</td>\n",
              "      <td>13418091</td>\n",
              "      <td>EXTREMITIES</td>\n",
              "      <td>13418091</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt2239822</th>\n",
              "      <td>2624</td>\n",
              "      <td>NaN</td>\n",
              "      <td>197471676</td>\n",
              "      <td>[{'id': 12, 'name': 'Adventure'}, {'id': 878, ...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>en</td>\n",
              "      <td>Valerian and the City of a Thousand Planets</td>\n",
              "      <td>In the 28th century, Valerian and Laureline ar...</td>\n",
              "      <td>15.262706</td>\n",
              "      <td>[{'name': 'EuropaCorp', 'id': 6896}]</td>\n",
              "      <td>[{'iso_3166_1': 'FR', 'name': 'France'}]</td>\n",
              "      <td>7/20/17</td>\n",
              "      <td>137.0</td>\n",
              "      <td>[{'iso_639_1': 'fr', 'name': 'Français'}, {'is...</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Valerian and the City of a Thousand Planets</td>\n",
              "      <td>[{'id': 1370, 'name': 'shapeshifting'}, {'id':...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>90024292</td>\n",
              "      <td>-107447384</td>\n",
              "      <td>VALERIAN AND THE CITY OF A THOUSAND PLANETS</td>\n",
              "      <td>-107447384</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             id  ... new_profit\n",
              "imdb_id          ...           \n",
              "tt0145394  1619  ...    -662000\n",
              "tt1860180  1008  ...         60\n",
              "tt0120254   610  ...     273644\n",
              "tt0091024  1217  ...   13418091\n",
              "tt2239822  2624  ... -107447384\n",
              "\n",
              "[5 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 157
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bGzyknU-rC0E"
      },
      "source": [
        "# <b>Let us explore some datetime operations and functions"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_UtRtcvhk1S-"
      },
      "source": [
        "Directive\n",
        "\n",
        "* #### <b>%a</b>\tWeekday as locale’s abbreviated name.\tSun, Mon, …, Sat (en_US)\n",
        "So, Mo, …, Sa (de_DE)\n",
        "* #### <b>%A</b>\tWeekday as locale’s full name.\tSunday, Monday, …, Saturday (en_US)\n",
        "Sonntag, Montag, …, Samstag (de_DE)\n",
        "* #### <b>%w</b>\tWeekday as a decimal number, where 0 is Sunday and 6 is Saturday.\t0, 1, 2, 3, 4, 5, 6\n",
        "* #### <b>%d</b>\tDay of the month as a zero-padded decimal number.\t01, 02, …, 31\n",
        "* #### <b>%b</b>\tMonth as locale’s abbreviated name.\tJan, Feb, …, Dec (en_US)\n",
        "Jan, Feb, …, Dez (de_DE)\n",
        "* #### <b>%B</b>\tMonth as locale’s full name.\tJanuary, February, …, December (en_US)\n",
        "Januar, Februar, …, Dezember (de_DE)\n",
        "* #### <b>%m</b>\tMonth as a zero-padded decimal number.\t01, 02 … 12\n",
        "* #### <b>%y</b>\tYear without century as a zero-padded decimal number.\t01, 02, … 99\n",
        "* #### <b>%Y</b>\tYear with century as a decimal number.\t0001, 0002, … , 9999\n",
        "* #### <b>%H</b>\tHour (24-hour clock) as a zero-padded decimal number.\t01, 02, … , 23\n",
        "* #### <b>%I</b>\tHour (12-hour clock) as a zero-padded decimal number.\t01, 02, … , 12\n",
        "* #### <b>%p</b>\tLocale’s equivalent of either AM or PM.\tAM, PM (en_US)\n",
        "am, pm (de_DE)\n",
        "* #### <b>%M</b>\tMinute as a zero-padded decimal number.\t01, 02, … , 59\n",
        "* #### <b>%S</b>\tSecond as a zero-padded decimal number.\t01, 02, … , 59\n",
        "* #### <b>%f</b>\tMicrosecond as a decimal number, zero-padded on the left.\t000000, 000001, …, 999999\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WRv5tgX2FFd8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c0b82c6b-3ece-4e46-80c2-9c9686df07b2"
      },
      "source": [
        "df.info()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 3000 entries, 0 to 2999\n",
            "Data columns (total 24 columns):\n",
            " #   Column                 Non-Null Count  Dtype  \n",
            "---  ------                 --------------  -----  \n",
            " 0   belongs_to_collection  604 non-null    object \n",
            " 1   budget                 3000 non-null   int64  \n",
            " 2   genres                 2993 non-null   object \n",
            " 3   homepage               946 non-null    object \n",
            " 4   imdb_id                3000 non-null   object \n",
            " 5   original_language      3000 non-null   object \n",
            " 6   original_title         3000 non-null   object \n",
            " 7   overview               2992 non-null   object \n",
            " 8   popularity             3000 non-null   float64\n",
            " 9   production_companies   2844 non-null   object \n",
            " 10  production_countries   2945 non-null   object \n",
            " 11  release_date           3000 non-null   object \n",
            " 12  runtime                2998 non-null   float64\n",
            " 13  spoken_languages       2980 non-null   object \n",
            " 14  status                 3000 non-null   object \n",
            " 15  tagline                2403 non-null   object \n",
            " 16  title                  3000 non-null   object \n",
            " 17  Keywords               2724 non-null   object \n",
            " 18  cast                   2987 non-null   object \n",
            " 19  crew                   2984 non-null   object \n",
            " 20  revenue                2998 non-null   float64\n",
            " 21  movie_profit           3000 non-null   int64  \n",
            " 22  Capitalized_title      3000 non-null   object \n",
            " 23  new_profit             2998 non-null   float64\n",
            "dtypes: float64(4), int64(2), object(18)\n",
            "memory usage: 562.6+ KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qnSPZrRCk1TB",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8fee2cb8-838d-43b1-90f6-d922b54b5f2f"
      },
      "source": [
        "df['release_date'][0:5]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "imdb_id\n",
              "tt2637294     2/20/15\n",
              "tt0368933      8/6/04\n",
              "tt2582802    10/10/14\n",
              "tt1821480      3/9/12\n",
              "tt1380152      2/5/09\n",
              "Name: release_date, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 158
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0F1xtRuGk1TG"
      },
      "source": [
        "# Importing datetime modules\n",
        "from datetime import datetime\n",
        "from datetime import date"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "00XAIsGysP0x"
      },
      "source": [
        "## <code>strptime</code> means string parser, this will convert a string format to datetime. \n",
        "\n",
        "## <code>strftime</code> means string formatter, this will format a datetime object to string format."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HJMgOA6BGAmO",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b41bc051-f346-42a0-96eb-dc0e7a461728"
      },
      "source": [
        "df['release_date'][0:5]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0     2/20/15\n",
              "1      8/6/04\n",
              "2    10/10/14\n",
              "3      3/9/12\n",
              "4      2/5/09\n",
              "Name: release_date, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xxoYSHRUr4Ni"
      },
      "source": [
        "df['new_release_date']=df['release_date'].apply(lambda x : datetime.strptime(x,'%m/%d/%y'))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rPCXfL2asjdA",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "fe702631-9f86-447f-ea61-891503e9a970"
      },
      "source": [
        "df.info()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Index: 3000 entries, tt2637294 to tt1600195\n",
            "Data columns (total 24 columns):\n",
            " #   Column                 Non-Null Count  Dtype         \n",
            "---  ------                 --------------  -----         \n",
            " 0   id                     3000 non-null   int64         \n",
            " 1   belongs_to_collection  604 non-null    object        \n",
            " 2   budget                 3000 non-null   int64         \n",
            " 3   genres                 2993 non-null   object        \n",
            " 4   homepage               946 non-null    object        \n",
            " 5   original_language      3000 non-null   object        \n",
            " 6   original_title         3000 non-null   object        \n",
            " 7   overview               2992 non-null   object        \n",
            " 8   popularity             3000 non-null   float64       \n",
            " 9   production_companies   2844 non-null   object        \n",
            " 10  production_countries   2945 non-null   object        \n",
            " 11  release_date           3000 non-null   object        \n",
            " 12  runtime                2998 non-null   float64       \n",
            " 13  spoken_languages       2980 non-null   object        \n",
            " 14  status                 3000 non-null   object        \n",
            " 15  tagline                2403 non-null   object        \n",
            " 16  title                  3000 non-null   object        \n",
            " 17  Keywords               2724 non-null   object        \n",
            " 18  cast                   2987 non-null   object        \n",
            " 19  revenue                3000 non-null   int64         \n",
            " 20  movie_profit           3000 non-null   int64         \n",
            " 21  Capitalized_title      3000 non-null   object        \n",
            " 22  new_profit             3000 non-null   int64         \n",
            " 23  new_release_date       3000 non-null   datetime64[ns]\n",
            "dtypes: datetime64[ns](1), float64(2), int64(5), object(16)\n",
            "memory usage: 665.9+ KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "812_QZ_0sEfe",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 648
        },
        "outputId": "dbe81d57-1f81-43d5-887d-21654c0784b7"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>belongs_to_collection</th>\n",
              "      <th>budget</th>\n",
              "      <th>genres</th>\n",
              "      <th>homepage</th>\n",
              "      <th>original_language</th>\n",
              "      <th>original_title</th>\n",
              "      <th>overview</th>\n",
              "      <th>popularity</th>\n",
              "      <th>production_companies</th>\n",
              "      <th>production_countries</th>\n",
              "      <th>release_date</th>\n",
              "      <th>runtime</th>\n",
              "      <th>spoken_languages</th>\n",
              "      <th>status</th>\n",
              "      <th>tagline</th>\n",
              "      <th>title</th>\n",
              "      <th>Keywords</th>\n",
              "      <th>cast</th>\n",
              "      <th>revenue</th>\n",
              "      <th>movie_profit</th>\n",
              "      <th>Capitalized_title</th>\n",
              "      <th>new_profit</th>\n",
              "      <th>new_release_date</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>imdb_id</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>tt2637294</th>\n",
              "      <td>1</td>\n",
              "      <td>[{'id': 313576, 'name': 'Hot Tub Time Machine ...</td>\n",
              "      <td>14000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>en</td>\n",
              "      <td>Hot Tub Time Machine 2</td>\n",
              "      <td>When Lou, who has become the \"father of the In...</td>\n",
              "      <td>6.575393</td>\n",
              "      <td>[{'name': 'Paramount Pictures', 'id': 4}, {'na...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>2/20/15</td>\n",
              "      <td>93.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The Laws of Space and Time are About to be Vio...</td>\n",
              "      <td>Hot Tub Time Machine 2</td>\n",
              "      <td>[{'id': 4379, 'name': 'time travel'}, {'id': 9...</td>\n",
              "      <td>[{'cast_id': 4, 'character': 'Lou', 'credit_id...</td>\n",
              "      <td>12314651</td>\n",
              "      <td>-1685349</td>\n",
              "      <td>HOT TUB TIME MACHINE 2</td>\n",
              "      <td>-1685349</td>\n",
              "      <td>2015-02-20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0368933</th>\n",
              "      <td>2</td>\n",
              "      <td>[{'id': 107674, 'name': 'The Princess Diaries ...</td>\n",
              "      <td>40000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>en</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>Mia Thermopolis is now a college graduate and ...</td>\n",
              "      <td>8.248895</td>\n",
              "      <td>[{'name': 'Walt Disney Pictures', 'id': 2}]</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>8/6/04</td>\n",
              "      <td>113.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>It can take a lifetime to find true love; she'...</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>[{'id': 2505, 'name': 'coronation'}, {'id': 42...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Mia Thermopolis'...</td>\n",
              "      <td>95149435</td>\n",
              "      <td>55149435</td>\n",
              "      <td>THE PRINCESS DIARIES 2: ROYAL ENGAGEMENT</td>\n",
              "      <td>55149435</td>\n",
              "      <td>2004-08-06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt2582802</th>\n",
              "      <td>3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3300000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}]</td>\n",
              "      <td>http://sonyclassics.com/whiplash/</td>\n",
              "      <td>en</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>Under the direction of a ruthless instructor, ...</td>\n",
              "      <td>64.299990</td>\n",
              "      <td>[{'name': 'Bold Films', 'id': 2266}, {'name': ...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>10/10/14</td>\n",
              "      <td>105.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The road to greatness can take you to the edge.</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>[{'id': 1416, 'name': 'jazz'}, {'id': 1523, 'n...</td>\n",
              "      <td>[{'cast_id': 5, 'character': 'Andrew Neimann',...</td>\n",
              "      <td>13092000</td>\n",
              "      <td>9792000</td>\n",
              "      <td>WHIPLASH</td>\n",
              "      <td>9792000</td>\n",
              "      <td>2014-10-10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt1821480</th>\n",
              "      <td>4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1200000</td>\n",
              "      <td>[{'id': 53, 'name': 'Thriller'}, {'id': 18, 'n...</td>\n",
              "      <td>http://kahaanithefilm.com/</td>\n",
              "      <td>hi</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>Vidya Bagchi (Vidya Balan) arrives in Kolkata ...</td>\n",
              "      <td>3.174936</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'IN', 'name': 'India'}]</td>\n",
              "      <td>3/9/12</td>\n",
              "      <td>122.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>[{'id': 10092, 'name': 'mystery'}, {'id': 1054...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Vidya Bagchi', '...</td>\n",
              "      <td>16000000</td>\n",
              "      <td>14800000</td>\n",
              "      <td>KAHAANI</td>\n",
              "      <td>14800000</td>\n",
              "      <td>2012-03-09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt1380152</th>\n",
              "      <td>5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 53, 'nam...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ko</td>\n",
              "      <td>마린보이</td>\n",
              "      <td>Marine Boy is the story of a former national s...</td>\n",
              "      <td>1.148070</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'KR', 'name': 'South Korea'}]</td>\n",
              "      <td>2/5/09</td>\n",
              "      <td>118.0</td>\n",
              "      <td>[{'iso_639_1': 'ko', 'name': '한국어/조선말'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Marine Boy</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 3, 'character': 'Chun-soo', 'cred...</td>\n",
              "      <td>3923970</td>\n",
              "      <td>3923970</td>\n",
              "      <td>MARINE BOY</td>\n",
              "      <td>3923970</td>\n",
              "      <td>2009-02-05</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           id  ... new_release_date\n",
              "imdb_id        ...                 \n",
              "tt2637294   1  ...       2015-02-20\n",
              "tt0368933   2  ...       2004-08-06\n",
              "tt2582802   3  ...       2014-10-10\n",
              "tt1821480   4  ...       2012-03-09\n",
              "tt1380152   5  ...       2009-02-05\n",
              "\n",
              "[5 rows x 24 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 162
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Djr_RYwyk1TI",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "03533413-9423-4341-beac-dbac09c6ec0f"
      },
      "source": [
        "df['new_release_date'][0]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Timestamp('2015-02-20 00:00:00')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 166
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jESL4IUik1TQ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b1980ae1-2534-4c0f-ae76-633c15f19dd1"
      },
      "source": [
        "# Month year date\n",
        "print(df['new_release_date'][0].month)\n",
        "print(df['new_release_date'][0].year)\n",
        "print(df['new_release_date'][0].day)\n",
        "print(df['new_release_date'][0].hour)\n",
        "print(df['new_release_date'][0].minute)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2\n",
            "2015\n",
            "20\n",
            "0\n",
            "0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "13wwAN2Qk1TT",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e643635a-97e7-4206-b123-a3b5ca669101"
      },
      "source": [
        "print(date.today())\n",
        "print(datetime.now())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2021-02-17\n",
            "2021-02-17 16:19:20.428727\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mZp-Xx1Kk1TV",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 161
        },
        "outputId": "f98243c7-2ee4-48e5-e0e9-b577d7a3dc1f"
      },
      "source": [
        "datetime.now() + 1"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "TypeError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-168-29385c49cec3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdatetime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for +: 'datetime.datetime' and 'int'"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m93PnX_mk1TY",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c9f259f6-9671-48fa-9457-de07b7167356"
      },
      "source": [
        "# Some operations we can do on datetime \n",
        "from datetime import timedelta\n",
        "print(date.today())\n",
        "print(date.today() - timedelta(days=1))\n",
        "print(datetime.now() + timedelta(hours=5.5))\n",
        "print(datetime.now() + timedelta(seconds=60))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2021-02-17\n",
            "2021-02-16\n",
            "2021-02-17 21:52:15.067322\n",
            "2021-02-17 16:23:15.067618\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fKaPLiHqk1Ta",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "39bbf178-7357-40dd-9f7a-e52ba498f8c2"
      },
      "source": [
        "print(df['new_release_date'][0])\n",
        "print(df['new_release_date'][5])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2015-02-20 00:00:00\n",
            "1987-08-06 00:00:00\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "l26fVEvJk1Tf",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "136972c7-3c57-471e-8992-ae6cc0fc33ac"
      },
      "source": [
        "# Difference in two datetime\n",
        "time_delta=df['new_release_date'][0]-df['new_release_date'][5]\n",
        "time_delta"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Timedelta('10060 days 00:00:00')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1sPvC46Ek1Ti",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "013c4c35-6475-4d71-8fe8-da1743c6667e"
      },
      "source": [
        "type(time_delta)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "pandas._libs.tslibs.timedeltas.Timedelta"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": false,
        "id": "renPN83qk1Tn",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0f93093b-4cc3-46cc-f65a-65239a82dc64"
      },
      "source": [
        "time_delta.total_seconds()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "869184000.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 72
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jDNtbLGzJepl",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "5f3cf858-e4b2-4f96-990f-5476d9ed837e"
      },
      "source": [
        "t1 = pd.to_datetime('1/1/2015 01:00')\n",
        "t2 = pd.to_datetime('1/1/2015 03:30')\n",
        "\n",
        "print(pd.Timedelta(t2 - t1).seconds / 3600.0)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2.5\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RUT8J9_Jk1UM"
      },
      "source": [
        "# **Let's explore the unique and missing values**\n",
        "\n",
        "* ### <code>unique()</code>\n",
        "* ### <code>nunique()</code>\n",
        "* ### <code>value_counts()</code>\n",
        "* ### <code>isnull()</code>\n",
        "* ### <code>fillna()</code>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MYrcXy4Ck1UM",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ab047c88-310f-4f25-dacf-f3caebc6c66b"
      },
      "source": [
        "df.info()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Index: 3000 entries, tt2637294 to tt1600195\n",
            "Data columns (total 24 columns):\n",
            " #   Column                 Non-Null Count  Dtype         \n",
            "---  ------                 --------------  -----         \n",
            " 0   id                     3000 non-null   int64         \n",
            " 1   belongs_to_collection  604 non-null    object        \n",
            " 2   budget                 3000 non-null   int64         \n",
            " 3   genres                 2993 non-null   object        \n",
            " 4   homepage               946 non-null    object        \n",
            " 5   original_language      3000 non-null   object        \n",
            " 6   original_title         3000 non-null   object        \n",
            " 7   overview               2992 non-null   object        \n",
            " 8   popularity             3000 non-null   float64       \n",
            " 9   production_companies   2844 non-null   object        \n",
            " 10  production_countries   2945 non-null   object        \n",
            " 11  release_date           3000 non-null   object        \n",
            " 12  runtime                2998 non-null   float64       \n",
            " 13  spoken_languages       2980 non-null   object        \n",
            " 14  status                 3000 non-null   object        \n",
            " 15  tagline                2403 non-null   object        \n",
            " 16  title                  3000 non-null   object        \n",
            " 17  Keywords               2724 non-null   object        \n",
            " 18  cast                   2987 non-null   object        \n",
            " 19  revenue                3000 non-null   int64         \n",
            " 20  movie_profit           3000 non-null   int64         \n",
            " 21  Capitalized_title      3000 non-null   object        \n",
            " 22  new_profit             3000 non-null   int64         \n",
            " 23  new_release_date       3000 non-null   datetime64[ns]\n",
            "dtypes: datetime64[ns](1), float64(2), int64(5), object(16)\n",
            "memory usage: 665.9+ KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BRBvxWE0k1UP",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "97c2899c-5cca-4080-efa6-eaaf9246bc60"
      },
      "source": [
        "# Find the list of unique values in a column\n",
        "list(df['status'].unique())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Released', 'Rumored']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 174
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "W4S2RCQiz1_J",
        "outputId": "89fc3cfe-5a79-4076-e760-04d1dbd72c6d"
      },
      "source": [
        "list(df['original_language'].unique())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['en',\n",
              " 'hi',\n",
              " 'ko',\n",
              " 'sr',\n",
              " 'fr',\n",
              " 'it',\n",
              " 'nl',\n",
              " 'zh',\n",
              " 'es',\n",
              " 'cs',\n",
              " 'ta',\n",
              " 'cn',\n",
              " 'ru',\n",
              " 'tr',\n",
              " 'ja',\n",
              " 'fa',\n",
              " 'sv',\n",
              " 'de',\n",
              " 'te',\n",
              " 'pt',\n",
              " 'mr',\n",
              " 'da',\n",
              " 'fi',\n",
              " 'el',\n",
              " 'ur',\n",
              " 'he',\n",
              " 'no',\n",
              " 'ar',\n",
              " 'nb',\n",
              " 'ro',\n",
              " 'vi',\n",
              " 'pl',\n",
              " 'hu',\n",
              " 'ml',\n",
              " 'bn',\n",
              " 'id']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 175
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Wexq6Ijak1UR",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ff887edc-ea24-4eea-8d85-9abef6efe44a"
      },
      "source": [
        "# Counts the number of unique values in a column\n",
        "df.original_language.nunique()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "36"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 176
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JB6iiIPfk1US",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "099ca5e2-7184-4ed2-c380-f169c1ac4966"
      },
      "source": [
        "# Give the counts of each category of a variable\n",
        "df['original_language'].value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "en    2575\n",
              "fr      78\n",
              "ru      47\n",
              "es      43\n",
              "hi      42\n",
              "ja      37\n",
              "it      24\n",
              "ko      20\n",
              "cn      20\n",
              "zh      19\n",
              "de      18\n",
              "ta      16\n",
              "sv       8\n",
              "pt       6\n",
              "nl       6\n",
              "da       5\n",
              "fa       5\n",
              "ro       4\n",
              "tr       3\n",
              "hu       3\n",
              "pl       2\n",
              "no       2\n",
              "te       2\n",
              "ml       2\n",
              "fi       2\n",
              "sr       1\n",
              "mr       1\n",
              "ur       1\n",
              "el       1\n",
              "vi       1\n",
              "bn       1\n",
              "nb       1\n",
              "id       1\n",
              "he       1\n",
              "ar       1\n",
              "cs       1\n",
              "Name: original_language, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 177
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "O5UMeC143T4J",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0968f5d3-1117-48ff-afa8-99e78c6bbc52"
      },
      "source": [
        "# Does not make much sense to use value_counts for a numeric variable\n",
        "df.runtime.value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "90.0     100\n",
              "100.0     99\n",
              "105.0     91\n",
              "95.0      89\n",
              "98.0      85\n",
              "        ... \n",
              "11.0       1\n",
              "62.0       1\n",
              "66.0       1\n",
              "248.0      1\n",
              "177.0      1\n",
              "Name: runtime, Length: 139, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LI2cWReD3qs8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d022264c-d228-458e-e828-79814c1c9ae1"
      },
      "source": [
        "# Returns a series of booleans if a column value contains nulls\n",
        "df['homepage'].isnull()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "imdb_id\n",
              "tt2637294     True\n",
              "tt0368933     True\n",
              "tt2582802    False\n",
              "tt1821480    False\n",
              "tt1380152     True\n",
              "             ...  \n",
              "tt0109403     True\n",
              "tt2364975     True\n",
              "tt0116908     True\n",
              "tt0343135    False\n",
              "tt1600195    False\n",
              "Name: homepage, Length: 3000, dtype: bool"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 179
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U38pa1nDk1UV",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "85efb097-1234-461b-92c4-8d147c7468d7"
      },
      "source": [
        "df[~df['homepage'].isnull()]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>belongs_to_collection</th>\n",
              "      <th>budget</th>\n",
              "      <th>genres</th>\n",
              "      <th>homepage</th>\n",
              "      <th>original_language</th>\n",
              "      <th>original_title</th>\n",
              "      <th>overview</th>\n",
              "      <th>popularity</th>\n",
              "      <th>production_companies</th>\n",
              "      <th>production_countries</th>\n",
              "      <th>release_date</th>\n",
              "      <th>runtime</th>\n",
              "      <th>spoken_languages</th>\n",
              "      <th>status</th>\n",
              "      <th>tagline</th>\n",
              "      <th>title</th>\n",
              "      <th>Keywords</th>\n",
              "      <th>cast</th>\n",
              "      <th>revenue</th>\n",
              "      <th>movie_profit</th>\n",
              "      <th>Capitalized_title</th>\n",
              "      <th>new_profit</th>\n",
              "      <th>new_release_date</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>imdb_id</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>tt2582802</th>\n",
              "      <td>3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3300000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}]</td>\n",
              "      <td>http://sonyclassics.com/whiplash/</td>\n",
              "      <td>en</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>Under the direction of a ruthless instructor, ...</td>\n",
              "      <td>64.299990</td>\n",
              "      <td>[{'name': 'Bold Films', 'id': 2266}, {'name': ...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>10/10/14</td>\n",
              "      <td>105.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The road to greatness can take you to the edge.</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>[{'id': 1416, 'name': 'jazz'}, {'id': 1523, 'n...</td>\n",
              "      <td>[{'cast_id': 5, 'character': 'Andrew Neimann',...</td>\n",
              "      <td>13092000</td>\n",
              "      <td>9792000</td>\n",
              "      <td>WHIPLASH</td>\n",
              "      <td>9792000</td>\n",
              "      <td>2014-10-10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt1821480</th>\n",
              "      <td>4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1200000</td>\n",
              "      <td>[{'id': 53, 'name': 'Thriller'}, {'id': 18, 'n...</td>\n",
              "      <td>http://kahaanithefilm.com/</td>\n",
              "      <td>hi</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>Vidya Bagchi (Vidya Balan) arrives in Kolkata ...</td>\n",
              "      <td>3.174936</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'IN', 'name': 'India'}]</td>\n",
              "      <td>3/9/12</td>\n",
              "      <td>122.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>[{'id': 10092, 'name': 'mystery'}, {'id': 1054...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Vidya Bagchi', '...</td>\n",
              "      <td>16000000</td>\n",
              "      <td>14800000</td>\n",
              "      <td>KAHAANI</td>\n",
              "      <td>14800000</td>\n",
              "      <td>2012-03-09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0431021</th>\n",
              "      <td>7</td>\n",
              "      <td>NaN</td>\n",
              "      <td>14000000</td>\n",
              "      <td>[{'id': 27, 'name': 'Horror'}, {'id': 53, 'nam...</td>\n",
              "      <td>http://www.thepossessionmovie.com/</td>\n",
              "      <td>en</td>\n",
              "      <td>The Possession</td>\n",
              "      <td>A young girl buys an antique box at a yard sal...</td>\n",
              "      <td>7.286477</td>\n",
              "      <td>[{'name': 'Ghost House Pictures', 'id': 768}, ...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>8/30/12</td>\n",
              "      <td>92.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>Fear The Demon That Doesn't Fear God</td>\n",
              "      <td>The Possession</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 23, 'character': 'Clyde', 'credit...</td>\n",
              "      <td>85446075</td>\n",
              "      <td>71446075</td>\n",
              "      <td>THE POSSESSION</td>\n",
              "      <td>71446075</td>\n",
              "      <td>2012-08-30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0169547</th>\n",
              "      <td>13</td>\n",
              "      <td>NaN</td>\n",
              "      <td>15000000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}]</td>\n",
              "      <td>http://www.dreamworks.com/ab/</td>\n",
              "      <td>en</td>\n",
              "      <td>American Beauty</td>\n",
              "      <td>Lester Burnham, a depressed suburban father in...</td>\n",
              "      <td>20.726578</td>\n",
              "      <td>[{'name': 'DreamWorks SKG', 'id': 27}, {'name'...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>9/15/99</td>\n",
              "      <td>122.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>Look closer.</td>\n",
              "      <td>American Beauty</td>\n",
              "      <td>[{'id': 255, 'name': 'male nudity'}, {'id': 29...</td>\n",
              "      <td>[{'cast_id': 6, 'character': 'Lester Burnham',...</td>\n",
              "      <td>356296601</td>\n",
              "      <td>341296601</td>\n",
              "      <td>AMERICAN BEAUTY</td>\n",
              "      <td>341296601</td>\n",
              "      <td>1999-09-15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt1129437</th>\n",
              "      <td>16</td>\n",
              "      <td>NaN</td>\n",
              "      <td>500000</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 80, 'nam...</td>\n",
              "      <td>http://skinningmovie.com/synopsis.htm</td>\n",
              "      <td>sr</td>\n",
              "      <td>Šišanje</td>\n",
              "      <td>Novica is a mathematics champion in a Belgrade...</td>\n",
              "      <td>1.018477</td>\n",
              "      <td>[{'name': 'Hypnopolis', 'id': 51316}]</td>\n",
              "      <td>[{'iso_3166_1': 'RS', 'name': 'Serbia'}]</td>\n",
              "      <td>10/6/10</td>\n",
              "      <td>97.0</td>\n",
              "      <td>[{'iso_639_1': 'sr', 'name': 'Srpski'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>Life is sometimes rude game: one mistake can b...</td>\n",
              "      <td>Skinning</td>\n",
              "      <td>[{'id': 379, 'name': 'skinhead'}, {'id': 7492,...</td>\n",
              "      <td>[{'cast_id': 1001, 'character': 'Novica', 'cre...</td>\n",
              "      <td>198</td>\n",
              "      <td>-499802</td>\n",
              "      <td>SKINNING</td>\n",
              "      <td>-499802</td>\n",
              "      <td>2010-10-06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0257076</th>\n",
              "      <td>2985</td>\n",
              "      <td>[{'id': 221111, 'name': 'S.W.A.T. Collection',...</td>\n",
              "      <td>80000000</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 53, 'nam...</td>\n",
              "      <td>http://www.sonypictures.com/homevideo/swat/</td>\n",
              "      <td>en</td>\n",
              "      <td>S.W.A.T.</td>\n",
              "      <td>Hondo Harrelson recruits Jim Street to join an...</td>\n",
              "      <td>13.334952</td>\n",
              "      <td>[{'name': 'Original Film', 'id': 333}, {'name'...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>8/8/03</td>\n",
              "      <td>117.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>You're either S.W.A.T. or you're not.</td>\n",
              "      <td>S.W.A.T.</td>\n",
              "      <td>[{'id': 2434, 'name': 'liberation'}, {'id': 35...</td>\n",
              "      <td>[{'cast_id': 25, 'character': \"Sgt. Dan 'Hondo...</td>\n",
              "      <td>116643346</td>\n",
              "      <td>36643346</td>\n",
              "      <td>S.W.A.T.</td>\n",
              "      <td>36643346</td>\n",
              "      <td>2003-08-08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0349467</th>\n",
              "      <td>2986</td>\n",
              "      <td>NaN</td>\n",
              "      <td>37665000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}, {'id': 53, 'name...</td>\n",
              "      <td>http://www.sonypictures.com/homevideo/freedoml...</td>\n",
              "      <td>en</td>\n",
              "      <td>Freedomland</td>\n",
              "      <td>A black police detective must solve a strange ...</td>\n",
              "      <td>5.388535</td>\n",
              "      <td>[{'name': 'Scott Rudin Productions', 'id': 258...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>2/17/06</td>\n",
              "      <td>113.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>The Truth Is Hiding Where No One Dares To Look.</td>\n",
              "      <td>Freedomland</td>\n",
              "      <td>[{'id': 577, 'name': 'black people'}, {'id': 5...</td>\n",
              "      <td>[{'cast_id': 13, 'character': 'Lorenzo Council...</td>\n",
              "      <td>14655628</td>\n",
              "      <td>-23009372</td>\n",
              "      <td>FREEDOMLAND</td>\n",
              "      <td>-23009372</td>\n",
              "      <td>2006-02-17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0362227</th>\n",
              "      <td>2994</td>\n",
              "      <td>NaN</td>\n",
              "      <td>60000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...</td>\n",
              "      <td>http://www.theterminal-themovie.com/</td>\n",
              "      <td>en</td>\n",
              "      <td>The Terminal</td>\n",
              "      <td>Viktor Navorski is a man without a country; hi...</td>\n",
              "      <td>14.092373</td>\n",
              "      <td>[{'name': 'DreamWorks SKG', 'id': 27}, {'name'...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>6/17/04</td>\n",
              "      <td>128.0</td>\n",
              "      <td>[{'iso_639_1': 'bg', 'name': 'български език'}...</td>\n",
              "      <td>Released</td>\n",
              "      <td>Life is waiting.</td>\n",
              "      <td>The Terminal</td>\n",
              "      <td>[{'id': 242, 'name': 'new york'}, {'id': 822, ...</td>\n",
              "      <td>[{'cast_id': 4, 'character': 'Viktor Navorski'...</td>\n",
              "      <td>219417255</td>\n",
              "      <td>159417255</td>\n",
              "      <td>THE TERMINAL</td>\n",
              "      <td>159417255</td>\n",
              "      <td>2004-06-17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0343135</th>\n",
              "      <td>2999</td>\n",
              "      <td>NaN</td>\n",
              "      <td>42000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 10749, '...</td>\n",
              "      <td>http://www.alongcamepolly.com/</td>\n",
              "      <td>en</td>\n",
              "      <td>Along Came Polly</td>\n",
              "      <td>Reuben Feffer is a guy who's spent his entire ...</td>\n",
              "      <td>15.725542</td>\n",
              "      <td>[{'name': 'Jersey Films', 'id': 216}, {'name':...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>1/16/04</td>\n",
              "      <td>90.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>For the most cautious man on Earth, life is ab...</td>\n",
              "      <td>Along Came Polly</td>\n",
              "      <td>[{'id': 966, 'name': 'beach'}, {'id': 2676, 'n...</td>\n",
              "      <td>[{'cast_id': 8, 'character': 'Reuben Feffer', ...</td>\n",
              "      <td>171963386</td>\n",
              "      <td>129963386</td>\n",
              "      <td>ALONG CAME POLLY</td>\n",
              "      <td>129963386</td>\n",
              "      <td>2004-01-16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt1600195</th>\n",
              "      <td>3000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35000000</td>\n",
              "      <td>[{'id': 53, 'name': 'Thriller'}, {'id': 28, 'n...</td>\n",
              "      <td>http://www.abductionthefilm.com/</td>\n",
              "      <td>en</td>\n",
              "      <td>Abduction</td>\n",
              "      <td>A young man sets out to uncover the truth abou...</td>\n",
              "      <td>10.512109</td>\n",
              "      <td>[{'name': 'Lions Gate Films', 'id': 35}, {'nam...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>9/22/11</td>\n",
              "      <td>106.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>They stole his life. He's taking it back.</td>\n",
              "      <td>Abduction</td>\n",
              "      <td>[{'id': 591, 'name': 'cia'}, {'id': 822, 'name...</td>\n",
              "      <td>[{'cast_id': 2, 'character': 'Nathan Harper', ...</td>\n",
              "      <td>82087155</td>\n",
              "      <td>47087155</td>\n",
              "      <td>ABDUCTION</td>\n",
              "      <td>47087155</td>\n",
              "      <td>2011-09-22</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>946 rows × 24 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id  ... new_release_date\n",
              "imdb_id          ...                 \n",
              "tt2582802     3  ...       2014-10-10\n",
              "tt1821480     4  ...       2012-03-09\n",
              "tt0431021     7  ...       2012-08-30\n",
              "tt0169547    13  ...       1999-09-15\n",
              "tt1129437    16  ...       2010-10-06\n",
              "...         ...  ...              ...\n",
              "tt0257076  2985  ...       2003-08-08\n",
              "tt0349467  2986  ...       2006-02-17\n",
              "tt0362227  2994  ...       2004-06-17\n",
              "tt0343135  2999  ...       2004-01-16\n",
              "tt1600195  3000  ...       2011-09-22\n",
              "\n",
              "[946 rows x 24 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 180
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "43RiyZwwk1UZ"
      },
      "source": [
        "# Lets fill the missing values with the value -999\n",
        "df['homepage'].fillna('Not Present',inplace = True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ToeNI4kPk1Uc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 648
        },
        "outputId": "9db43c7d-4fae-49b6-93d7-d934291a7666"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "    <tr style=\"text-align: right;\">\n",
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              "      <th>tt2637294</th>\n",
              "      <td>1</td>\n",
              "      <td>[{'id': 313576, 'name': 'Hot Tub Time Machine ...</td>\n",
              "      <td>14000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}]</td>\n",
              "      <td>Not Present</td>\n",
              "      <td>en</td>\n",
              "      <td>Hot Tub Time Machine 2</td>\n",
              "      <td>When Lou, who has become the \"father of the In...</td>\n",
              "      <td>6.575393</td>\n",
              "      <td>[{'name': 'Paramount Pictures', 'id': 4}, {'na...</td>\n",
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              "      <td>2/20/15</td>\n",
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              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The Laws of Space and Time are About to be Vio...</td>\n",
              "      <td>Hot Tub Time Machine 2</td>\n",
              "      <td>[{'id': 4379, 'name': 'time travel'}, {'id': 9...</td>\n",
              "      <td>[{'cast_id': 4, 'character': 'Lou', 'credit_id...</td>\n",
              "      <td>12314651</td>\n",
              "      <td>-1685349</td>\n",
              "      <td>HOT TUB TIME MACHINE 2</td>\n",
              "      <td>-1685349</td>\n",
              "      <td>2015-02-20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt0368933</th>\n",
              "      <td>2</td>\n",
              "      <td>[{'id': 107674, 'name': 'The Princess Diaries ...</td>\n",
              "      <td>40000000</td>\n",
              "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...</td>\n",
              "      <td>Not Present</td>\n",
              "      <td>en</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>Mia Thermopolis is now a college graduate and ...</td>\n",
              "      <td>8.248895</td>\n",
              "      <td>[{'name': 'Walt Disney Pictures', 'id': 2}]</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>8/6/04</td>\n",
              "      <td>113.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>It can take a lifetime to find true love; she'...</td>\n",
              "      <td>The Princess Diaries 2: Royal Engagement</td>\n",
              "      <td>[{'id': 2505, 'name': 'coronation'}, {'id': 42...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Mia Thermopolis'...</td>\n",
              "      <td>95149435</td>\n",
              "      <td>55149435</td>\n",
              "      <td>THE PRINCESS DIARIES 2: ROYAL ENGAGEMENT</td>\n",
              "      <td>55149435</td>\n",
              "      <td>2004-08-06</td>\n",
              "    </tr>\n",
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              "      <th>tt2582802</th>\n",
              "      <td>3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3300000</td>\n",
              "      <td>[{'id': 18, 'name': 'Drama'}]</td>\n",
              "      <td>http://sonyclassics.com/whiplash/</td>\n",
              "      <td>en</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>Under the direction of a ruthless instructor, ...</td>\n",
              "      <td>64.299990</td>\n",
              "      <td>[{'name': 'Bold Films', 'id': 2266}, {'name': ...</td>\n",
              "      <td>[{'iso_3166_1': 'US', 'name': 'United States o...</td>\n",
              "      <td>10/10/14</td>\n",
              "      <td>105.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The road to greatness can take you to the edge.</td>\n",
              "      <td>Whiplash</td>\n",
              "      <td>[{'id': 1416, 'name': 'jazz'}, {'id': 1523, 'n...</td>\n",
              "      <td>[{'cast_id': 5, 'character': 'Andrew Neimann',...</td>\n",
              "      <td>13092000</td>\n",
              "      <td>9792000</td>\n",
              "      <td>WHIPLASH</td>\n",
              "      <td>9792000</td>\n",
              "      <td>2014-10-10</td>\n",
              "    </tr>\n",
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              "      <th>tt1821480</th>\n",
              "      <td>4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1200000</td>\n",
              "      <td>[{'id': 53, 'name': 'Thriller'}, {'id': 18, 'n...</td>\n",
              "      <td>http://kahaanithefilm.com/</td>\n",
              "      <td>hi</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>Vidya Bagchi (Vidya Balan) arrives in Kolkata ...</td>\n",
              "      <td>3.174936</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'IN', 'name': 'India'}]</td>\n",
              "      <td>3/9/12</td>\n",
              "      <td>122.0</td>\n",
              "      <td>[{'iso_639_1': 'en', 'name': 'English'}, {'iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Kahaani</td>\n",
              "      <td>[{'id': 10092, 'name': 'mystery'}, {'id': 1054...</td>\n",
              "      <td>[{'cast_id': 1, 'character': 'Vidya Bagchi', '...</td>\n",
              "      <td>16000000</td>\n",
              "      <td>14800000</td>\n",
              "      <td>KAHAANI</td>\n",
              "      <td>14800000</td>\n",
              "      <td>2012-03-09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tt1380152</th>\n",
              "      <td>5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'id': 28, 'name': 'Action'}, {'id': 53, 'nam...</td>\n",
              "      <td>Not Present</td>\n",
              "      <td>ko</td>\n",
              "      <td>마린보이</td>\n",
              "      <td>Marine Boy is the story of a former national s...</td>\n",
              "      <td>1.148070</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'iso_3166_1': 'KR', 'name': 'South Korea'}]</td>\n",
              "      <td>2/5/09</td>\n",
              "      <td>118.0</td>\n",
              "      <td>[{'iso_639_1': 'ko', 'name': '한국어/조선말'}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Marine Boy</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[{'cast_id': 3, 'character': 'Chun-soo', 'cred...</td>\n",
              "      <td>3923970</td>\n",
              "      <td>3923970</td>\n",
              "      <td>MARINE BOY</td>\n",
              "      <td>3923970</td>\n",
              "      <td>2009-02-05</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           id  ... new_release_date\n",
              "imdb_id        ...                 \n",
              "tt2637294   1  ...       2015-02-20\n",
              "tt0368933   2  ...       2004-08-06\n",
              "tt2582802   3  ...       2014-10-10\n",
              "tt1821480   4  ...       2012-03-09\n",
              "tt1380152   5  ...       2009-02-05\n",
              "\n",
              "[5 rows x 24 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 182
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "021OztUygEZd"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}