first

script/core/handlers/weather_connection.py

@@ -19,37 +19,37 @@ class WeatherReport:
             filtered_df = df[df['Date'] == date]
             condition = "daily"
 
-            # Temperature
+
             min_temp = filtered_df['Temperature (C)'].min(axis=0)
             max_temp = filtered_df['Temperature (C)'].max(axis=0)
             avg_temp = filtered_df['Temperature (C)'].mean(axis=0)
 
-            # Apparent Temperature
+
             min_at = filtered_df['Apparent Temperature (C)'].min(axis=0)
             max_at = filtered_df['Apparent Temperature (C)'].max(axis=0)
             avg_at = filtered_df['Apparent Temperature (C)'].mean(axis=0)
 
-            # Humidity
+
             min_hum = filtered_df['Humidity'].min(axis=0)
             max_hum = filtered_df['Humidity'].max(axis=0)
             avg_hum = filtered_df['Humidity'].mean(axis=0)
 
-            # Wind Speed
+
             min_ws = filtered_df['Wind Speed (km/h)'].min(axis=0)
             max_ws = filtered_df['Wind Speed (km/h)'].max(axis=0)
             avg_ws = filtered_df['Wind Speed (km/h)'].mean(axis=0)
 
-            # Wind Bearing
+
             min_wb = filtered_df['Wind Bearing (degrees)'].min(axis=0)
             max_wb = filtered_df['Wind Bearing (degrees)'].max(axis=0)
             avg_wb = filtered_df['Wind Bearing (degrees)'].mean(axis=0)
 
-            # Visibility
+
             min_vis = filtered_df['Visibility (km)'].min(axis=0)
             max_vis = filtered_df['Visibility (km)'].max(axis=0)
             avg_vis = filtered_df['Visibility (km)'].mean(axis=0)
 
-            # Pressure
+
             min_pre = filtered_df['Pressure (millibars)'].min(axis=0)
             max_pre = filtered_df['Pressure (millibars)'].max(axis=0)
             avg_pre = filtered_df['Pressure (millibars)'].mean(axis=0)