From 8fff8ea9d3b36a4ce85c8c541d350662d32d6575 Mon Sep 17 00:00:00 2001 From: PRIYANSHU TIWARI Date: Tue, 6 Aug 2024 21:08:53 +0530 Subject: [PATCH 1/2] here. is my Revenue_Deficits EDA app --- .../Revenue_Deficits EDA app/EDA app.py | 107 ++++++++++++++++++ .../Revenue_Deficits.csv | 32 ++++++ ...t 2024-08-03 at 1.18.03\342\200\257AM.png" | Bin 0 -> 719798 bytes .../Revenue_Deficits EDA app/readme.md | 53 +++++++++ 4 files changed, 192 insertions(+) create mode 100644 Financial APIs/Revenue_Deficits EDA app/EDA app.py create mode 100644 Financial APIs/Revenue_Deficits EDA app/Revenue_Deficits.csv create mode 100644 "Financial APIs/Revenue_Deficits EDA app/Screenshot 2024-08-03 at 1.18.03\342\200\257AM.png" create mode 100644 Financial APIs/Revenue_Deficits EDA app/readme.md diff --git a/Financial APIs/Revenue_Deficits EDA app/EDA app.py b/Financial APIs/Revenue_Deficits EDA app/EDA app.py new file mode 100644 index 00000000..a4e5c2e0 --- /dev/null +++ b/Financial APIs/Revenue_Deficits EDA app/EDA app.py @@ -0,0 +1,107 @@ +import pandas as pd +import matplotlib.pyplot as plt +import gradio as gr +import os +import numpy as np + +# Define the path to the CSV file +csv_file_path = 'Revenue_Deficits.csv' + +def visualize_eda(start_date, end_date): + # Create a directory to save plots + if not os.path.exists('eda_plots'): + os.makedirs('eda_plots') + + # Initialize output paths + line_plot_path = 'eda_plots/line_plot.png' + bar_plot_path = 'eda_plots/bar_plot.png' + hist_plot_path = 'eda_plots/hist_plot.png' + scatter_plot_path = 'eda_plots/scatter_plot.png' + + # Load the data from the CSV file + try: + df = pd.read_csv(csv_file_path, parse_dates=True, index_col=0) + except Exception as e: + return [None, None, None, None, f"Error loading CSV file: {e}"] + + # Filter the data by the given date range + try: + df = df.loc[start_date:end_date] + except Exception as e: + return [None, None, None, None, f"Error filtering data: {e}"] + + # Check for and handle non-numeric columns + df_numeric = df.select_dtypes(include=['float64', 'int64']) + if df_numeric.empty: + return [None, None, None, None, "Error: No numeric data found in CSV file."] + + # Plot 1: Line plot of all numerical features + try: + plt.figure(figsize=(12, 6)) + for column in df_numeric.columns: + plt.plot(df_numeric.index, df_numeric[column], label=column) + plt.title('Line Plot of Numerical Features') + plt.xlabel('Date') + plt.ylabel('Value') + plt.legend() + plt.savefig(line_plot_path) + plt.close() + except Exception as e: + return [None, None, None, None, f"Error generating line plot: {e}"] + + # Plot 2: Bar plot of average values per month + try: + plt.figure(figsize=(12, 6)) + monthly_avg = df_numeric.resample('M').mean() + monthly_avg.plot(kind='bar', figsize=(15, 7)) + plt.title('Monthly Average of Numerical Features') + plt.xlabel('Month') + plt.ylabel('Average Value') + plt.savefig(bar_plot_path) + plt.close() + except Exception as e: + return [None, None, None, None, f"Error generating bar plot: {e}"] + + # Plot 3: Histogram of numerical features + try: + plt.figure(figsize=(12, 6)) + df_numeric.hist(bins=30, figsize=(15, 7)) + plt.suptitle('Histogram of Numerical Features') + plt.savefig(hist_plot_path) + plt.close() + except Exception as e: + return [None, None, None, None, f"Error generating histogram: {e}"] + + # Plot 4: Scatter plot matrix of numerical features + try: + from pandas.plotting import scatter_matrix + plt.figure(figsize=(12, 12)) + scatter_matrix(df_numeric, alpha=0.2, figsize=(15, 15), diagonal='kde') + plt.suptitle('Scatter Plot Matrix of Numerical Features') + plt.savefig(scatter_plot_path) + plt.close() + except Exception as e: + return [None, None, None, None, f"Error generating scatter plot matrix: {e}"] + + # Return paths to generated plots + return [line_plot_path, bar_plot_path, hist_plot_path, scatter_plot_path, None] + +# Define the Gradio interface +iface = gr.Interface( + fn=visualize_eda, + inputs=[ + gr.Textbox(label="Start Date (YYYY-MM-DD)", value="2002-01-02"), + gr.Textbox(label="End Date (YYYY-MM-DD)", value="2022-10-10") + ], + outputs=[ + gr.Image(type="filepath", label="Line Plot"), + gr.Image(type="filepath", label="Bar Plot"), + gr.Image(type="filepath", label="Histogram"), + gr.Image(type="filepath", label="Scatter Plot Matrix"), + gr.Textbox(label="Error Message", type="text") # Add a textbox for error messages + ], + live=False # This will add an explicit "Submit" button +) + +# Launch the Gradio app +iface.launch(share=True, inbrowser=True) diff --git a/Financial APIs/Revenue_Deficits EDA app/Revenue_Deficits.csv b/Financial APIs/Revenue_Deficits EDA app/Revenue_Deficits.csv new file mode 100644 index 00000000..b1beead6 --- /dev/null +++ b/Financial APIs/Revenue_Deficits EDA app/Revenue_Deficits.csv @@ -0,0 +1,32 @@ +State,1980-81,1981-82,1982-83,1983-84,1984-85,1985-86,1986-87,1987-88,1988-89,1989-90,1990-91,1991-92,1992-93,1993-94,1994-95,1995-96,1996-97,1997-98,1998-99,1999-00,2000-01,2001-02,2002-03,2003-04,2004-05,2005-06,2006-07,2007-08,2008-09,2009-10,2010-11,2011-12,2012-13,2013-14,2014-15,2015-16 (RE) +Andhra Pradesh ,-104,-80,-132.6,88.6,169,7.3,189,-37,-33,238.2,157.6,169.6,123.8,-232.3,727.8,738.9,3199.1,703.2,2684.1,1233.3,3595.1,2881.3,3054,2962,2558,64,-2807,-159,-1000,-1230,-2460,-3140,-1130,-340,14240,7300 +Arunachal Pradesh,–,–,–,–,–,–,-39,-50,-93,-31.6,-100.1,-158.2,-163.2,-147.5,-166.6,-246.5,-206.7,-172.3,-177.1,-199,-51.9,-28,-77,-184,8,-182,-695,-743,-980,-600,-1680,-1080,-980,-90,1210,-2330 +Assam,-165,36.8,43.9,137.2,135.8,5.6,-61,84,62.1,136.7,143.8,-269.7,-162.3,-416.3,309.3,200,-284.5,-287.1,-90.2,1004.7,779.5,881.4,319,685,292,-1509,-2210,-2581,-3830,1350,-50,-930,-1550,-240,5090,-5500 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Pradesh,-104,-21.8,-9.1,-32.7,-37.6,-107.8,-70,-41,69.8,61,94.8,-9.9,93.1,-113.6,307.9,150.3,154.9,528.7,1022.3,106.3,1330.6,860.5,1482,1607,1158,-92,-191,-850,130,800,540,-640,580,1640,1540,-50 +Jammu & Kashmir,15,-2.3,1,46.5,70.9,-6.6,-42,107,63.9,123,91.2,-104,-267,-459,-702.5,-740.7,-791.6,-808,400.2,541.6,1258.6,-735.5,-652,-1910,-1577,-1816,-1914,-2216,-3360,-4450,-3770,-2100,-1100,-70,-3490,-3100 +Jharkhand,–,–,–,–,–,–,–,–,–,–,–,–,–,–,–,–,–,–,–,–,–,p,331,-142,1111,1553,1090,1484,-630,-2610,140,-1430,-1370,-2710,-3830,-4680 +Karnataka,-59,-164.3,-41.9,-72.9,143.6,84.7,-79,110,38.7,147,78.9,178.7,170,-116.4,296.2,-62.3,578.9,276.8,1215.2,2325.3,1862.2,3284.5,2646,525,-1638,-2311,-4152,-3776,-1630,-1620,-4170,-4690,-1880,-350,-160,-910 +Kerala,28,-96,-26.8,58.2,13.7,74.2,152,195,163.9,250,422,364.3,337.4,371.3,399.9,402.8,643,1122.9,2030,3624.2,3147.1,2605.6,4122,3680,3669,3129,2638,3785,3710,5020,3670,8030,9350,11310,10260,7830 +Madhya Pradesh,-118,-229.3,-187.8,-176.3,-79.1,-70.4,-35,59,145.8,-98,200.7,43.8,-285.3,448.1,190.5,477.4,1447.8,469.3,2871.8,2932.3,1319.3,3167.8,1169,4476,-1717,-33,-3332,-5088,-4060,-5500,-6840,-9910,-7460,-5880,-6370,-5590 +Maharashtra,-121,-147.4,-210.1,-70.8,212,316.7,0.6,-74,240.8,374,54.7,276.1,728.5,121.9,-277.3,609.1,1590.6,2579.9,3925.9,4268.8,7834,8188.6,9371,8310,10033,3842,-810,-14803,-5580,8010,590,2270,-4210,5080,13880,3760 +Manipur,-41,-10,-20.3,-24.4,-37.6,-70.4,-50,-72,-65,-33,-88.5,-73.3,-82.2,-140.9,-83.7,-72.9,-100,-65.3,-108.1,287.1,86.3,161.2,87,44,-92,-404,-448,-1216,-1250,-860,-1350,-650,-1500,-1560,-970,-690 +Meghalaya,-30,-8.1,-11.8,-24.6,-31.2,-48,-58,-66,-77.7,-50,-42.2,-35.6,-18.2,-17.9,-73.3,-103.5,-113.5,-11.6,-17.3,-15.9,-52.7,33.6,-84,-85,50,-72,-235,-188,-130,-260,-250,180,-540,-720,-1220,-780 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