Update app.py

app.py

@@ -1,66 +1,83 @@
 import streamlit as st
 import pandas as pd
-import plotly.express as px
 import plotly.graph_objects as go
 
 # Title of the App
-st.title("Excel Graph Visualizer")
+st.title("Excel Data Visualization with Dual Y-Axis")
 
-# File Upload Section
+# Upload Section
 uploaded_file = st.file_uploader("Upload your Excel file", type=["xlsx", "xls"])
 
 if uploaded_file:
-    # Read Excel file
     try:
+        # Read the Excel file into a DataFrame
         df = pd.read_excel(uploaded_file)
+
+        # Preview the uploaded data
         st.write("Data Preview:")
         st.dataframe(df)
 
-        # Dropdown for selecting graph type
-        graph_type = st.selectbox(
-            "Select Graph Type",
-            ["Clustered Column", "Line Chart", "Single Axis", "Double Axis"]
-        )
+        # Ensure required columns are present
+        required_columns = ["Description", "Oct'24", "Nov'24", "Dec/(Inc)"]
+        if not all(column in df.columns for column in required_columns):
+            st.error(f"The uploaded file must contain the following columns: {', '.join(required_columns)}")
+        else:
+            # Plot the Graph
+            fig = go.Figure()
 
-        # Dropdowns for selecting columns for x and y axes
-        x_axis = st.selectbox("Select X-axis column", df.columns)
-        y_axis = st.multiselect("Select Y-axis column(s)", df.columns)
+            # Add Bar Traces for Oct'24 and Nov'24
+            fig.add_trace(go.Bar(
+                x=df["Description"],
+                y=df["Oct'24"],
+                name="Oct'24",
+                marker_color='blue'
+            ))
 
-        # Generate Graph based on selection
-        if graph_type == "Clustered Column" and len(y_axis) > 0:
-            fig = px.bar(df, x=x_axis, y=y_axis, barmode="group")
-            st.plotly_chart(fig)
-        
-        elif graph_type == "Line Chart" and len(y_axis) > 0:
-            fig = px.line(df, x=x_axis, y=y_axis)
-            st.plotly_chart(fig)
+            fig.add_trace(go.Bar(
+                x=df["Description"],
+                y=df["Nov'24"],
+                name="Nov'24",
+                marker_color='green'
+            ))
 
-        elif graph_type == "Single Axis" and len(y_axis) == 1:
-            fig = px.line(df, x=x_axis, y=y_axis[0])
-            st.plotly_chart(fig)
+            # Add Line Trace for Dec/(Inc) on Secondary Y-axis
+            fig.add_trace(go.Scatter(
+                x=df["Description"],
+                y=df["Dec/(Inc)"],
+                name="Dec/(Inc)",
+                mode="lines+markers",
+                marker=dict(color='red'),
+                yaxis="y2"
+            ))
 
-        elif graph_type == "Double Axis" and len(y_axis) == 2:
-            fig = go.Figure()
-            fig.add_trace(go.Scatter(x=df[x_axis], y=df[y_axis[0]], mode='lines', name=y_axis[0]))
-            fig.add_trace(go.Scatter(x=df[x_axis], y=df[y_axis[1]], mode='lines', name=y_axis[1], yaxis="y2"))
-            
-            # Add a secondary y-axis
+            # Update Layout for Dual Y-axis
             fig.update_layout(
+                title="Dual Axis Chart",
+                xaxis=dict(title="Description"),
+                yaxis=dict(
+                    title="Values (Oct'24 and Nov'24)",
+                    titlefont=dict(color="blue"),
+                    tickfont=dict(color="blue"),
+                ),
                 yaxis2=dict(
-                    title=y_axis[1],
-                    overlaying='y',
-                    side='right'
+                    title="Dec/(Inc)",
+                    titlefont=dict(color="red"),
+                    tickfont=dict(color="red"),
+                    overlaying="y",
+                    side="right"
                 ),
-                title="Double Axis Graph"
+                barmode="group",
+                legend=dict(x=0.5, y=1.2, orientation="h"),
+                template="plotly_white"
             )
+
+            # Render the Plot
             st.plotly_chart(fig)
-        else:
-            st.warning("Please select appropriate columns and graph type.")
     except Exception as e:
-        st.error(f"Error loading file: {e}")
+        st.error(f"Error processing the file: {e}")
 else:
     st.info("Please upload an Excel file to get started.")
 
-# Add Footer
+# Footer
 st.write("---")
 st.write("Developed using [Streamlit](https://streamlit.io) and [Hugging Face Spaces](https://huggingface.co/spaces).")