diff --git a/open-source-in-environmental-sustainability/chapters/overview.ipynb b/open-source-in-environmental-sustainability/chapters/overview.ipynb index 4095791d..66e4ee08 100644 --- a/open-source-in-environmental-sustainability/chapters/overview.ipynb +++ b/open-source-in-environmental-sustainability/chapters/overview.ipynb @@ -14,7 +14,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 26, "metadata": { "tags": [ "remove-cell" @@ -32,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 27, "metadata": { "tags": [ "remove-cell" @@ -52,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 28, "metadata": { "tags": [ "remove-cell" @@ -67,7 +67,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 29, "metadata": { "tags": [ "remove-input", @@ -1107,6 +1107,494 @@ "fig.show(config=config)" ] }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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0pvlib-pythonA set of documented functions for simulating t...pvlibhttps://github.com/pvlib/pvlib-python.gitgithubsolar-energy,python,renewable-energy,renewable...Photovoltaics and Solar Energy2022/11/01, 13:16:32761.0273.0...https://github.com/pvlibNaNNaNNaNNaNhttps://avatars.githubusercontent.com/u/110372...NaNNaNNaN7.734247
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2<a href=\"https://github.com/renewables-ninja/g...Global Solar Energy Estimator.renewables-ninjahttps://github.com/renewables-ninja/gsee.gitgithubsolar,pandas,energy,irradiance,photovoltaic,pv...Photovoltaics and Solar Energy2020/07/21, 06:28:3591.00.0...NaNNaNhttps://avatars.githubusercontent.com/u/118382...NaNNaNNaN6.194521Renewable Energy<b>Renewable Energy</b><b>Photovoltaics and Solar Energy</b>
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1312<a href=\"https://github.com/sentinelsat/sentin...Makes searching, downloading and retrieving th...sentinelsathttps://github.com/sentinelsat/sentinelsat.gitgithubsentinel,copernicus,esa,remote-sensing,satelli...Data Catalogs and Interfaces2022/11/03, 07:55:31826.0254.0...NaNNaNhttps://avatars.githubusercontent.com/u/290575...NaNNaNNaN7.476712Sustainable Development<b>Sustainable Development</b><b>Data Catalogs and Interfaces</b>
1313<a href=\"https://github.com/smart-data-models/...This Models describe the main entities involve...smart-data-modelshttps://github.com/smart-data-models/dataModel...githubNaNData Catalogs and Interfaces2022/11/04, 09:15:037.00.0...NaNNaNhttps://avatars.githubusercontent.com/u/447244...NaNNaNNaN3.432877Sustainable Development<b>Sustainable Development</b><b>Data Catalogs and Interfaces</b>
1314<a href=\"https://github.com/ropensci/epair.git...Use R to get data from the Environmental Prote...ropenscihttps://github.com/ropensci/epair.gitgithubNaNData Catalogs and Interfaces2022/07/23, 06:24:026.00.0...NaNNaNhttps://avatars.githubusercontent.com/u/120026...NaNNaNNaN2.493151Sustainable Development<b>Sustainable Development</b><b>Data Catalogs and Interfaces</b>
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\n", + "

977 rows × 55 columns

\n", + "
" + ], + "text/plain": [ + " project_name \\\n", + "0 Renewable Energy Photovoltaics and Solar Energy \n", + "1 Renewable Energy Photovoltaics and Solar Energy \n", + "2 Renewable Energy Photovoltaics and Solar Energy \n", + "3 Renewable Energy Photovoltaics and Solar Energy \n", + "4 Renewable Energy Photovoltaics and Solar Energy \n", + "... ... ... \n", + "1311 Sustainable Development Data Catalogs and Interfaces \n", + "1312 Sustainable Development Data Catalogs and Interfaces \n", + "1313 Sustainable Development Data Catalogs and Interfaces \n", + "1314 Sustainable Development Data Catalogs and Interfaces \n", + "1315 Sustainable Development Data Catalogs and Interfaces \n", + "\n", + "[977 rows x 55 columns]" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_active" + ] + }, + { + "cell_type": "code", + "execution_count": 34, "metadata": { "tags": [ "remove-cell" @@ -1319,106 +2269,20 @@ ") / 3" ] }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## The Open Source Sustainability Ecosystem\n", - "\n", - "Projects are grouped into fields based on their primary topic of focus. While the boundaries often overlap, these fields help to paint a broad landscape and can provide insight into the ecosystem health and complexity of fields relative to each other. The following sunburst diagram shows the relationship between fields, topics, and projects. The colour represents the {ref}`dds_chapter`." - ] - }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 35, "metadata": { "tags": [ - "remove-input", - "full-width" + "full-width", + "remove-cell" ] }, - "outputs": [ - { - "ename": "ValueError", - "evalue": "Value of 'path_1' is not the name of a column in 'data_frame'. Expected one of ['Unnamed: 0.2', 'Unnamed: 0', 'Unnamed: 0.1', 'Unnamed: 0.1.1', 'Unnamed: 0.1.1.1', 'Unnamed: 0.1.1.1.1', 'Unnamed: 0.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1', 'project_name', 'oneliner', 'git_namespace', 'git_url', 'platform', 'labels', 'topic', 'last_commit_date', 'stargazers_count', 'number_of_dependents', 'stars_last_year', 'project_active', 'dominating_language', 'organization', 'organization_user_name', 'languages', 'homepage', 'refs', 'project_created', 'project_age_in_days', 'license', 'total_commits_last_year', 'total_number_of_commits', 'last_issue_closed', 'open_issues', 'closed_pullrequests', 'closed_issues', 'issues_closed_last_year', 'days_until_last_issue_closed', 'open_pullrequests', 'reviews_per_pr', 'development_distribution_score', 'last_released_date', 'last_release_tag_name', 'good_first_issue', 'contributors', 'accepts_donations', 'donation_platforms', 'code_of_conduct', 'contribution_guide', 'dependents_repos', 'organization_name', 'organization_github_url', 'organization_website', 'organization_location', 'organization_country', 'organization_form', 'organization_avatar', 'organization_public_repos', 'organization_created', 'organization_last_update', 'project_age_in_years', 'field', 'activity', 'community', 'size', 'total_score', 'hole'] but received: field_bolt", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m/home/cy0/gitclones/open-source-in-environmental-sustainability/open-source-in-environmental-sustainability/chapters/overview.ipynb Cell 11\u001b[0m line \u001b[0;36m1\n\u001b[1;32m 6\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mopensustainTemplate\u001b[39;00m \u001b[39mimport\u001b[39;00m \u001b[39m*\u001b[39m\n\u001b[1;32m 8\u001b[0m df_active \u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39mread_csv(\u001b[39m\"\u001b[39m\u001b[39m../csv/project_analysis.csv\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m---> 11\u001b[0m fig \u001b[39m=\u001b[39m px\u001b[39m.\u001b[39;49msunburst(\n\u001b[1;32m 12\u001b[0m df_active\u001b[39m.\u001b[39;49massign(\n\u001b[1;32m 13\u001b[0m hole\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39m The Open Source
Sustainability Ecosystem
\u001b[39;49m\u001b[39m'\u001b[39;49m\n\u001b[1;32m 14\u001b[0m ),\n\u001b[1;32m 15\u001b[0m path\u001b[39m=\u001b[39;49m[\u001b[39m\"\u001b[39;49m\u001b[39mhole\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39m\"\u001b[39;49m\u001b[39mfield_bolt\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39m\"\u001b[39;49m\u001b[39mtopic_bolt\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39m\"\u001b[39;49m\u001b[39mproject_name\u001b[39;49m\u001b[39m\"\u001b[39;49m],\n\u001b[1;32m 16\u001b[0m maxdepth\u001b[39m=\u001b[39;49m\u001b[39m3\u001b[39;49m,\n\u001b[1;32m 17\u001b[0m color\u001b[39m=\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39mdevelopment_distribution_score\u001b[39;49m\u001b[39m\"\u001b[39;49m,\n\u001b[1;32m 18\u001b[0m custom_data\u001b[39m=\u001b[39;49m[\u001b[39m\"\u001b[39;49m\u001b[39moneliner\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39m\"\u001b[39;49m\u001b[39mtopic\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39m\"\u001b[39;49m\u001b[39mgit_url\u001b[39;49m\u001b[39m\"\u001b[39;49m],\n\u001b[1;32m 19\u001b[0m color_continuous_scale\u001b[39m=\u001b[39;49mpx\u001b[39m.\u001b[39;49mcolors\u001b[39m.\u001b[39;49msequential\u001b[39m.\u001b[39;49mAggrnyl_r,\n\u001b[1;32m 20\u001b[0m \u001b[39m#color_continuous_scale=color_divergent_scale, # Diverging colors\u001b[39;49;00m\n\u001b[1;32m 21\u001b[0m \u001b[39m#color_continuous_midpoint=df_active['development_distribution_score'].median(), # Diverging colors\u001b[39;49;00m\n\u001b[1;32m 22\u001b[0m )\n\u001b[1;32m 24\u001b[0m fig\u001b[39m.\u001b[39mupdate_layout(\n\u001b[1;32m 25\u001b[0m \u001b[39m# title=\"Ecosystem overview\",\u001b[39;00m\n\u001b[1;32m 26\u001b[0m coloraxis_colorbar\u001b[39m=\u001b[39m\u001b[39mdict\u001b[39m(title\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m Development Distribution Score \u001b[39m\u001b[39m'\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 39\u001b[0m font_color\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mblack\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 40\u001b[0m )\n\u001b[1;32m 41\u001b[0m fig\u001b[39m.\u001b[39mupdate_coloraxes(colorbar_title_side\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mtop\u001b[39m\u001b[39m'\u001b[39m)\n", - "File \u001b[0;32m~/.local/lib/python3.8/site-packages/plotly/express/_chart_types.py:1541\u001b[0m, in \u001b[0;36msunburst\u001b[0;34m(data_frame, names, values, parents, path, ids, color, color_continuous_scale, range_color, color_continuous_midpoint, color_discrete_sequence, color_discrete_map, hover_name, hover_data, custom_data, labels, title, template, width, height, branchvalues, maxdepth)\u001b[0m\n\u001b[1;32m 1539\u001b[0m \u001b[39mif\u001b[39;00m path \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m branchvalues \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m 1540\u001b[0m branchvalues \u001b[39m=\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mtotal\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m-> 1541\u001b[0m \u001b[39mreturn\u001b[39;00m make_figure(\n\u001b[1;32m 1542\u001b[0m args\u001b[39m=\u001b[39;49m\u001b[39mlocals\u001b[39;49m(),\n\u001b[1;32m 1543\u001b[0m constructor\u001b[39m=\u001b[39;49mgo\u001b[39m.\u001b[39;49mSunburst,\n\u001b[1;32m 1544\u001b[0m trace_patch\u001b[39m=\u001b[39;49m\u001b[39mdict\u001b[39;49m(branchvalues\u001b[39m=\u001b[39;49mbranchvalues, maxdepth\u001b[39m=\u001b[39;49mmaxdepth),\n\u001b[1;32m 1545\u001b[0m layout_patch\u001b[39m=\u001b[39;49mlayout_patch,\n\u001b[1;32m 1546\u001b[0m )\n", - "File \u001b[0;32m~/.local/lib/python3.8/site-packages/plotly/express/_core.py:1990\u001b[0m, in \u001b[0;36mmake_figure\u001b[0;34m(args, constructor, trace_patch, layout_patch)\u001b[0m\n\u001b[1;32m 1987\u001b[0m layout_patch \u001b[39m=\u001b[39m layout_patch \u001b[39mor\u001b[39;00m {}\n\u001b[1;32m 1988\u001b[0m apply_default_cascade(args)\n\u001b[0;32m-> 1990\u001b[0m args \u001b[39m=\u001b[39m build_dataframe(args, constructor)\n\u001b[1;32m 1991\u001b[0m \u001b[39mif\u001b[39;00m constructor \u001b[39min\u001b[39;00m [go\u001b[39m.\u001b[39mTreemap, go\u001b[39m.\u001b[39mSunburst, go\u001b[39m.\u001b[39mIcicle] \u001b[39mand\u001b[39;00m args[\u001b[39m\"\u001b[39m\u001b[39mpath\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m 1992\u001b[0m args \u001b[39m=\u001b[39m process_dataframe_hierarchy(args)\n", - "File \u001b[0;32m~/.local/lib/python3.8/site-packages/plotly/express/_core.py:1405\u001b[0m, in \u001b[0;36mbuild_dataframe\u001b[0;34m(args, constructor)\u001b[0m\n\u001b[1;32m 1402\u001b[0m args[\u001b[39m\"\u001b[39m\u001b[39mcolor\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m 1403\u001b[0m \u001b[39m# now that things have been prepped, we do the systematic rewriting of `args`\u001b[39;00m\n\u001b[0;32m-> 1405\u001b[0m df_output, wide_id_vars \u001b[39m=\u001b[39m process_args_into_dataframe(\n\u001b[1;32m 1406\u001b[0m args, wide_mode, var_name, value_name\n\u001b[1;32m 1407\u001b[0m )\n\u001b[1;32m 1409\u001b[0m \u001b[39m# now that `df_output` exists and `args` contains only references, we complete\u001b[39;00m\n\u001b[1;32m 1410\u001b[0m \u001b[39m# the special-case and wide-mode handling by further rewriting args and/or mutating\u001b[39;00m\n\u001b[1;32m 1411\u001b[0m \u001b[39m# df_output\u001b[39;00m\n\u001b[1;32m 1413\u001b[0m count_name \u001b[39m=\u001b[39m _escape_col_name(df_output, \u001b[39m\"\u001b[39m\u001b[39mcount\u001b[39m\u001b[39m\"\u001b[39m, [var_name, value_name])\n", - "File \u001b[0;32m~/.local/lib/python3.8/site-packages/plotly/express/_core.py:1207\u001b[0m, in \u001b[0;36mprocess_args_into_dataframe\u001b[0;34m(args, wide_mode, var_name, value_name)\u001b[0m\n\u001b[1;32m 1205\u001b[0m \u001b[39mif\u001b[39;00m argument \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mindex\u001b[39m\u001b[39m\"\u001b[39m:\n\u001b[1;32m 1206\u001b[0m err_msg \u001b[39m+\u001b[39m\u001b[39m=\u001b[39m \u001b[39m\"\u001b[39m\u001b[39m\\n\u001b[39;00m\u001b[39m To use the index, pass it in directly as `df.index`.\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m-> 1207\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(err_msg)\n\u001b[1;32m 1208\u001b[0m \u001b[39melif\u001b[39;00m length \u001b[39mand\u001b[39;00m \u001b[39mlen\u001b[39m(df_input[argument]) \u001b[39m!=\u001b[39m length:\n\u001b[1;32m 1209\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[1;32m 1210\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mAll arguments should have the same length. \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 1211\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mThe length of column argument `df[\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m]` is \u001b[39m\u001b[39m%d\u001b[39;00m\u001b[39m, whereas the \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1218\u001b[0m )\n\u001b[1;32m 1219\u001b[0m )\n", - "\u001b[0;31mValueError\u001b[0m: Value of 'path_1' is not the name of a column in 'data_frame'. Expected one of ['Unnamed: 0.2', 'Unnamed: 0', 'Unnamed: 0.1', 'Unnamed: 0.1.1', 'Unnamed: 0.1.1.1', 'Unnamed: 0.1.1.1.1', 'Unnamed: 0.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1', 'Unnamed: 0.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1', 'project_name', 'oneliner', 'git_namespace', 'git_url', 'platform', 'labels', 'topic', 'last_commit_date', 'stargazers_count', 'number_of_dependents', 'stars_last_year', 'project_active', 'dominating_language', 'organization', 'organization_user_name', 'languages', 'homepage', 'refs', 'project_created', 'project_age_in_days', 'license', 'total_commits_last_year', 'total_number_of_commits', 'last_issue_closed', 'open_issues', 'closed_pullrequests', 'closed_issues', 'issues_closed_last_year', 'days_until_last_issue_closed', 'open_pullrequests', 'reviews_per_pr', 'development_distribution_score', 'last_released_date', 'last_release_tag_name', 'good_first_issue', 'contributors', 'accepts_donations', 'donation_platforms', 'code_of_conduct', 'contribution_guide', 'dependents_repos', 'organization_name', 'organization_github_url', 'organization_website', 'organization_location', 'organization_country', 'organization_form', 'organization_avatar', 'organization_public_repos', 'organization_created', 'organization_last_update', 'project_age_in_years', 'field', 'activity', 'community', 'size', 'total_score', 'hole'] but received: field_bolt" - ] - } - ], + "outputs": [], "source": [ - "import numpy as np\n", - "import pandas as pd\n", - "import plotly.io as pio\n", - "import plotly.graph_objects as go\n", - "import plotly.express as px\n", - "from opensustainTemplate import *\n", - "\n", - "df_active = pd.read_csv(\"../csv/project_analysis.csv\")\n", - "\n", - "\n", - "fig = px.sunburst(\n", - " df_active.assign(\n", - " hole=' The Open Source
Sustainability Ecosystem
'\n", - " ),\n", - " path=[\"hole\", \"field_bolt\", \"topic_bolt\", \"project_name\"],\n", - " maxdepth=3,\n", - " color=\"development_distribution_score\",\n", - " custom_data=[\"oneliner\", \"topic\", \"git_url\"],\n", - " color_continuous_scale=px.colors.sequential.Aggrnyl_r,\n", - " #color_continuous_scale=color_divergent_scale, # Diverging colors\n", - " #color_continuous_midpoint=df_active['development_distribution_score'].median(), # Diverging colors\n", - ")\n", - "\n", - "fig.update_layout(\n", - " # title=\"Ecosystem overview\",\n", - " coloraxis_colorbar=dict(title=' Development Distribution Score ',\n", - " orientation='h',\n", - " y=-0.15,\n", - " x=0.5\n", - " ),\n", - " height=1200,\n", - " # width=1000,\n", - " title_x=0.5,\n", - " font_size=18,\n", - " dragmode=False,\n", - " margin=dict(l=2, r=2, b=0, t=10),\n", - " title_font_family=\"Open Sans\",\n", - " font_family=\"Open Sans\",\n", - " font_color=\"black\"\n", - ")\n", - "fig.update_coloraxes(colorbar_title_side='top')\n", - "# animated transitions are currently not implemented when uniformtext is used\n", - "fig.update_traces(\n", - " insidetextorientation=\"radial\",\n", - " # texttemplate = '%{label}
%{percentRoot:.0%}',\n", - " marker=dict(line=dict(color=\"#000000\", width=2)),\n", - " hovertemplate=\"
\".join(\n", - " [ \"%{label}\",\n", - " \"%{customdata[1]}\",\n", - " \"%{customdata[0]}\",\n", - " \"%{customdata[2]}\",\n", - " ]\n", - " ),\n", - ")\n", - "\n", - "config = {'responsive': True, \n", - " 'toImageButtonOptions':{\n", - " # 'width': 2000,\n", - " # 'height': 2000,\n", - " 'format': 'svg',\n", - " 'filename': 'The_Open_Source_Sustainability_Ecosystem'}}\n", - "\n", - "fig.show(config=config)" + "# Save the dataset with the scores\n", + "df_active_path = \"../csv/project_analysis.csv\"\n", + "df_active.to_csv(df_active_path)" ] }, { @@ -1426,43 +2290,12793 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "```{figure} data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\n", - ":figclass: caption-hack\n", - ":name: projects-within-sectors\n", - "\\- All studied projects grouped into the corresponding fields and topics\n", - "```\n", + "## The Open Source Sustainability Ecosystem\n", "\n", - "`````{admonition} Tip\n", - ":class: tip\n", - "The above plot is fully interactive. Drill into fields, topics, and projects with a click! The project name links to the project's repository.\n", - "`````" + "Projects are grouped into fields based on their primary topic of focus. While the boundaries often overlap, these fields help to paint a broad landscape and can provide insight into the ecosystem health and complexity of fields relative to each other. The following sunburst diagram shows the relationship between fields, topics, and projects. The colour represents the {ref}`dds_chapter`." ] }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": { - "tags": [ - "remove-cell" - ] - }, - "source": [] - }, { "cell_type": "code", - "execution_count": null, + "execution_count": 51, "metadata": { "tags": [ - "full-width", - "remove-cell" + "remove-input", + "full-width" ] }, - "outputs": [], - "source": [ - "# Save the dataset with the scores\n", - "df_active_path = \"../csv/project_analysis.csv\"\n", - "df_active.to_csv(df_active_path)" - ] + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly", + "responsive": true, + "toImageButtonOptions": { + "filename": "The_Open_Source_Sustainability_Ecosystem", + "format": "svg" + } + }, + "data": [ + { + "branchvalues": "total", + "customdata": [ + [ + "Making it easy to query, preview, download and preprocess multiple kinds of satellite datasets via R.", + "Data Catalogs and Interfaces", + 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"ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "font": { + "color": "#040404", + "family": "Open Sans" + }, + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + }, + "title": { + "font": { + "family": "Open Sans" + }, + "x": 0.5 + } + } + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import plotly.io as pio\n", + "import plotly.graph_objects as go\n", + "import plotly.express as px\n", + "from opensustainTemplate import *\n", + "\n", + "df_active = pd.read_csv(\"../csv/project_analysis.csv\")\n", + "\n", + "color_continuous_scale = px.colors.make_colorscale([\"#30b1ce\",\"#ea7070\"])\n", + "#color_continuous_scale = [[0, \"#3b52ff\"], [0.5, \"#F6157\"], [1, \"#169485\"]]\n", + "\n", + "fig = px.sunburst(\n", + " df_active.assign(\n", + " hole=' The Open Source
Sustainability Ecosystem
'\n", + " ),\n", + " path=[\"hole\", \"field_bolt\", \"topic_bolt\", \"project_name\"],\n", + " maxdepth=3,\n", + " color=\"development_distribution_score\",\n", + " custom_data=[\"oneliner\", \"topic\", \"git_url\"],\n", + " color_continuous_scale=px.colors.sequential.Aggrnyl_r,\n", + " #color_continuous_scale=color_continuous_scale,\n", + " #color_continuous_scale=color_continuous_scale, # Diverging colors\n", + " #color_continuous_midpoint=df_active['development_distribution_score'].median(), # Diverging colors\n", + ")\n", + "\n", + "fig.update_layout(\n", + " # title=\"Ecosystem overview\",\n", + " coloraxis_colorbar=dict(title=' Development Distribution Score ',\n", + " orientation='h',\n", + " y=-0.15,\n", + " x=0.5\n", + " ),\n", + " height=1200,\n", + " # width=1000,\n", + " title_x=0.5,\n", + " font_size=18,\n", + " dragmode=False,\n", + " margin=dict(l=2, r=2, b=0, t=10),\n", + " title_font_family=\"Open Sans\",\n", + " font_family=\"Open Sans\",\n", + " font_color=\"black\"\n", + ")\n", + "fig.update_coloraxes(colorbar_title_side='top')\n", + "# animated transitions are currently not implemented when uniformtext is used\n", + "fig.update_traces(\n", + " insidetextorientation=\"radial\",\n", + " # texttemplate = '%{label}
%{percentRoot:.0%}',\n", + " marker=dict(line=dict(color=\"#000000\", width=2)),\n", + " hovertemplate=\"
\".join(\n", + " [ \"%{label}\",\n", + " \"%{customdata[1]}\",\n", + " \"%{customdata[0]}\",\n", + " \"%{customdata[2]}\",\n", + " ]\n", + " ),\n", + ")\n", + "\n", + "config = {'responsive': True, \n", + " 'toImageButtonOptions':{\n", + " # 'width': 2000,\n", + " # 'height': 2000,\n", + " 'format': 'svg',\n", + " 'filename': 'The_Open_Source_Sustainability_Ecosystem'}}\n", + "\n", + "fig.show(config=config)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```{figure} data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\n", + ":figclass: caption-hack\n", + ":name: projects-within-sectors\n", + "\\- All studied projects grouped into the corresponding fields and topics\n", + "```\n", + "\n", + "`````{admonition} Tip\n", + ":class: tip\n", + "The above plot is fully interactive. Drill into fields, topics, and projects with a click! The project name links to the project's repository.\n", + "`````" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "tags": [ + "remove-cell" + ] + }, + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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..................................................................
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