Update app.py

app.py

@@ -48,7 +48,7 @@ if uploaded_file:
     
     # Column selection
     st.subheader("Select Data for Plotting")
-    x_column = st.selectbox("Select X-axis column (Date/Time)", df.columns)
+    x_column = st.selectbox("Select X-axis column (Date)", df.columns)
     y_columns = st.multiselect("Select Y-axis column(s)", [col for col in df.columns if col != x_column])
     
     if y_columns:
@@ -81,11 +81,8 @@ if uploaded_file:
         # Generate plot
         if st.button("Generate Graph"):
             # Convert date column to datetime if it's not already
-            if not pd.api.types.is_datetime64_any_dtype(df[x_column]):
-                df[x_column] = pd.to_datetime(df[x_column])
-            
-            # Sort the dataframe by date to ensure proper time sequence
-            df = df.sort_values(by=x_column)
+            if pd.api.types.is_datetime64_any_dtype(df[x_column]) or pd.api.types.is_string_dtype(df[x_column]):
+                df[x_column] = pd.to_datetime(df[x_column]).dt.strftime('%d-%m-%Y')  # Format dates as dd-mm-yyyy
             
             # Create figure with vibrant colors
             fig = px.line(df, x=x_column, y=y_columns,
@@ -129,12 +126,11 @@ if uploaded_file:
                     linewidth=1,
                     linecolor='black',
                     mirror=True,
-                    tickangle=-90,  # Angled text for better readability
+                    tickangle=-90,  # Vertical text
                     title_text=x_axis_label,
                     title_font=dict(family="Times New Roman", color="black"),
                     tickfont=dict(family="Times New Roman", color="black", size=10),
-                    type='date',  # Changed from 'category' to 'date'
-                    tickformat="%d-%m-%Y"  # Format for displaying dates
+                    type='category'  # This ensures dates are treated as categories
                 ),
                 yaxis=dict(
                     showgrid=True,