added real forecast

app.py

@@ -16,6 +16,7 @@ import matplotlib.pyplot as plt
 from matplotlib.dates import MonthLocator
 
 
+
 def mongo_unavs_call(user_input_start_date, user_input_end_date, user_input_past_date):
     print("Starting mongo_unavs_call")
     # Connect to the MongoDB database
@@ -633,10 +634,20 @@ def run_app():
 
         st.write("Previous forecast")
         st.line_chart(df_photo_date_2)
+        # Create a new dataframe out of df_nucmonitor_2 call real_forecast that contains df_nucmonitor_2 up until current_date
+
+        # Slice the DataFrame to include data up until current_date
+        real_forecast = df_nucmonitor_2.loc[df_nucmonitor_2.index <= current_date_str]
 
+        # Optionally, if you want to reset the index
+        # real_forecast = real_forecast.reset_index()
+        print(real_forecast)
+        st.write("Real forecast")
+        st.line_chart(real_forecast)
+        
         # Combine dataframes
-        combined_df = pd.concat([df_nucmonitor_2, df_photo_date_2], axis=1)
-        combined_df.columns = [f'Forecast {current_date_str}', f'Forecast {past_date_str}']
+        combined_df = pd.concat([df_nucmonitor_2, df_photo_date_2, real_forecast], axis=1)
+        combined_df.columns = [f'Forecast {current_date_str}', f'Forecast {past_date_str}', 'Real Forecast']
 
         print(combined_df)
         st.write(f"Graph 1. {start_date} to {end_date}")
@@ -660,6 +671,8 @@ def run_app():
 
         st.pyplot(fig)
 
+        # For Historical Winter Availability, can just get the max and min of each month, store as list in a column, and try to graph that
+
 
         # Add a download button
         # Create a BytesIO object to hold the Excel data