Update app.py

app.py

@@ -164,78 +164,6 @@ def crop_analysis():
     return render_template('index.html', map_html=map_html, selected_map="District Crop Analysis")
 
 
-@app.route('/combined_analysis')
-def combined_analysis():
-    global df  # Declare df as global
-
-    # Sample a fraction of the dataframe for performance
-    df_sampled = df.sample(frac=0.005, random_state=42)
-
-    # Create the map centered over India with an appropriate zoom level
-    m = folium.Map(location=[20.5937, 78.9629], zoom_start=5)
-
-    # Prepare heatmap data for area
-    area_heat_data = [
-        [row['Latitude'], row['Longitude'], row['Area']]
-        for _, row in df_sampled.iterrows()
-    ]
-
-    # Add the heatmap for area (blue to red: low to high)
-    HeatMap(
-        data=area_heat_data,
-        min_opacity=0.3,
-        max_opacity=0.8,
-        radius=15,
-        blur=10,
-        gradient={0.0: 'blue', 0.5: 'lightblue', 1.0: 'red'}
-    ).add_to(m)
-
-    # Prepare heatmap data for production
-    production_heat_data = [
-        [row['Latitude'], row['Longitude'], row['Production']]
-        for _, row in df_sampled.iterrows()
-    ]
-
-    # Add the heatmap for production (green to red: low to high production)
-    HeatMap(
-        data=production_heat_data,
-        min_opacity=0.3,
-        max_opacity=0.8,
-        radius=15,
-        blur=10,
-        gradient={0.0: 'green', 0.5: 'yellow', 1.0: 'red'}
-    ).add_to(m)
-
-    # Scatter plot for different seasons with distinct colors
-    season_colors = {
-        'Kharif': 'purple',
-        'Rabi': 'orange',
-        'Rabi': 'cyan',
-        'Winter':'Yellow',
-        'Summer':'Green',
-        'Whole Year':'Red'
-    }
-
-    for _, row in df_sampled.iterrows():
-        season = row['Season']
-        color = season_colors.get(season, 'gray')  # Default to gray if the season is not recognized
-        folium.CircleMarker(
-            location=[row['Latitude'], row['Longitude']],
-            radius=5,
-            color=color,
-            fill=True,
-            fill_opacity=0.7,
-            tooltip=(f"District: {row['District']}<br>"
-                     f"Season: {row['Season']}<br>"
-                     f"Area: {row['Area']}<br>"
-                     f"Production: {row['Production']}")
-        ).add_to(m)
-
-    # Convert the map to HTML format
-    map_html = m._repr_html_()
-
-    # Render the map in the template
-    return render_template('index.html', map_html=map_html, selected_map="Combined Area & Production Heatmaps")
 
 if __name__ == '__main__':
     app.run(port=7860,host='0.0.0.0')