Update app.py

app.py

@@ -47,11 +47,11 @@ if uploaded_file is not None:
         st.pyplot(fig1)
 
         # Visualization 2: Monthly Spending Trends (Line Chart)
-        # Convert 'Date' to datetime
-        df['Date'] = pd.to_datetime(df['Date'])
+        # Convert 'Date' to datetime and remove time part
+        df['Date'] = pd.to_datetime(df['Date']).dt.date  # Keep only the date, no time
 
         # Extract month-year for grouping and convert the Period to string to avoid JSON serialization issues
-        df['Month'] = df['Date'].dt.to_period('M').astype(str)  # Convert Period to string
+        df['Month'] = df['Date'].apply(lambda x: x.strftime('%Y-%m'))  # Extract Year-Month as string
 
         # Group by month and calculate the total amount spent per month
         monthly_expenses = df.groupby('Month')['Amount'].sum()