Update app.py

app.py

@@ -44,9 +44,12 @@ plot_raw_data()
 # Predict forecast with Prophet.
 df_train = data[['Date', 'Close']]
 df_train = df_train.rename(columns={"Date": "ds", "Close": "y"})
-st.write(df.head())  # Check the first few rows of the DataFrame
-st.write(type(df))  # Confirm that `df` is a DataFrame
-st.write(type(df['y']))  # Check the type of `df['y']`
+st.write(df_train.head())  # Check the first few rows of the DataFrame
+st.write(type(df_train))  # Confirm that `df` is a DataFrame
+st.write(type(df_train['y']))  # Check the type of `df['y']`
+st.write(df_train['y'].dtype)  # Check the data type of `y`
+st.write(df_train['y'].isnull().sum())  # Check for null values
+st.write(df_train['y'].unique()) 
 
 m = Prophet()
 m.fit(df_train)