Update app.py

app.py

@@ -174,21 +174,7 @@ def map_folium(lat, lon,files_dates_selected, within_days ):
 
 
 
-files = [
-        "data/2023_hail.h5",
-        "data/2022_hail.h5",
-        "data/2021_hail.h5",
-        "data/2020_hail.h5"
-]
-
-all_dates = []
-for f in files:
-    with h5py.File(f, 'r') as f:
-  
-        dates = f['dates'][:]
-        print(dates)
 
-        all_dates.append(dates)
 
 #Set up 2 Columns
 st.set_page_config(layout="wide")
@@ -229,53 +215,54 @@ crop_coords = col-radius, row-radius, col+radius+1, row+radius+1
 files = glob.glob(r'webp/**/*.webp', recursive=True)
 files_dates_selected = [i for i in files if any(
     i for j in date_range if str(j) in re.search(r'(\d{8})', i).group())]
-print(files_dates_selected)
 
 
-# # 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)
 
+# Get Data
+df_data, max_values = get_data(row, col, radius)
 
-# # 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'
-# )
+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'
+)
 
 
 
 
 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: