Update app.py

app.py

@@ -209,34 +209,34 @@ row, col = rasterio.transform.rowcol(transform, lon, lat)
 radius = int(np.ceil(circle_radius*1.6))
 crop_coords = col-radius, row-radius, col+radius+1, row+radius+1
 
-# Get Data
-df_data, max_values = get_data(row, col, radius)
-
-df_data = df_data.query(f"'{start_date}'<=Date<='{end_date}'")
-df_data['Max'] = df_data['Max'].round(3)
-df_data['Actual'] = df_data['Actual'].round(3)
-
-
-# Create the bar chart
-fig = alt.Chart(df_data).mark_bar(size=3, color='red').encode(
-    x='Date:T',  # Temporal data type
-    y='Actual:Q',  # Quantitative data type
-    color='Actual:Q',  # Color based on Actual values
-    tooltip=[  # Adding tooltips
-        alt.Tooltip('Date:T', title='Date'),
-        alt.Tooltip('Actual:Q', title='Actual Value'),
-        alt.Tooltip('Max:Q', title=f'Max Value with {circle_radius} Miles')
-    ]
-).configure(
-    view=alt.ViewConfig(
-        strokeOpacity=0  # No border around the chart
-    )
-).configure_axis(
-    grid=False  # Disable grid lines
-).configure_legend(
-    fillColor='transparent',  # Ensure no legend is shown
-    strokeColor='transparent'
-)
+# # Get Data
+# df_data, max_values = get_data(row, col, radius)
+
+# df_data = df_data.query(f"'{start_date}'<=Date<='{end_date}'")
+# df_data['Max'] = df_data['Max'].round(3)
+# df_data['Actual'] = df_data['Actual'].round(3)
+
+
+# # Create the bar chart
+# fig = alt.Chart(df_data).mark_bar(size=3, color='red').encode(
+#     x='Date:T',  # Temporal data type
+#     y='Actual:Q',  # Quantitative data type
+#     color='Actual:Q',  # Color based on Actual values
+#     tooltip=[  # Adding tooltips
+#         alt.Tooltip('Date:T', title='Date'),
+#         alt.Tooltip('Actual:Q', title='Actual Value'),
+#         alt.Tooltip('Max:Q', title=f'Max Value with {circle_radius} Miles')
+#     ]
+# ).configure(
+#     view=alt.ViewConfig(
+#         strokeOpacity=0  # No border around the chart
+#     )
+# ).configure_axis(
+#     grid=False  # Disable grid lines
+# ).configure_legend(
+#     fillColor='transparent',  # Ensure no legend is shown
+#     strokeColor='transparent'
+# )
 
 files = glob.glob(r'webp\**\*.webp', recursive=True)
 files_dates_selected = [i for i in files if any(
@@ -245,16 +245,16 @@ files_dates_selected = [i for i in files if any(
 
 with col1:
     st.title(f'Hail')
-    try:
-        st.altair_chart(fig, use_container_width=True)
-        csv = convert_df(df_data)
-        st.download_button(
-            label="Download data as CSV",
-            data=csv,
-            file_name='data.csv',
-            mime='text/csv')
-    except:
-        pass
+    # try:
+    #     st.altair_chart(fig, use_container_width=True)
+    #     csv = convert_df(df_data)
+    #     st.download_button(
+    #         label="Download data as CSV",
+    #         data=csv,
+    #         file_name='data.csv',
+    #         mime='text/csv')
+    # except:
+    #     pass
 
 
 with col2: