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graph.py

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+import streamlit as st
+import pandas as pd
+import plotly.express as px
+import io
+
+# Page configuration
+st.set_page_config(
+    page_title="Excel Graph Generator",
+    page_icon="📈",
+    layout="wide"
+)
+
+# Style input fields with black text and Times New Roman
+st.markdown("""
+    <style>
+    * {
+        font-family: 'Times New Roman', Times, serif !important;
+    }
+    .stTextInput input {
+        color: black !important;
+        font-family: 'Times New Roman', Times, serif !important;
+    }
+    .stSelectbox select {
+        color: black !important;
+        font-family: 'Times New Roman', Times, serif !important;
+    }
+    .stMultiSelect select {
+        color: black !important;
+        font-family: 'Times New Roman', Times, serif !important;
+    }
+    </style>
+""", unsafe_allow_html=True)
+
+# Title and description
+st.title('📊 Excel Graph Generator')
+st.write('Upload your Excel file and create customized graphs with ease!')
+
+# File upload
+uploaded_file = st.file_uploader("Upload Excel File", type=['xlsx', 'xls'])
+
+if uploaded_file:
+    # Read Excel file
+    df = pd.read_excel(uploaded_file)
+    
+    # Show data preview
+    st.subheader("Data Preview")
+    st.dataframe(df.head())
+    
+    # Column selection
+    st.subheader("Select Data for Plotting")
+    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:
+        # Graph customization
+        st.subheader("Customize Your Graph")
+        
+        # Basic settings
+        plot_title = st.text_input("Enter Plot Title", "My Custom Graph")
+        x_axis_label = st.text_input("X-axis Label", x_column)
+        y_axis_label = st.text_input("Y-axis Label", "Values")
+        
+        # Legend position controls
+        st.subheader("Legend Position Control")
+        col1, col2 = st.columns(2)
+        with col1:
+            legend_x = st.slider("Legend X Position", -0.5, 2.0, 1.05, 0.05)
+        with col2:
+            legend_y = st.slider("Legend Y Position", -0.5, 2.0, 1.0, 0.05)
+        
+        # Legend customization
+        st.subheader("Customize Legend Names")
+        legend_names = {}
+        for col in y_columns:
+            legend_names[col] = st.text_input(f"Legend name for {col}", col)
+        
+        # Define vibrant colors
+        vibrant_colors = ['#FF6B6B', '#4ECDC4', '#45B7D1', '#96CEB4', '#FFEEAD',
+                         '#FF9F1C', '#E71D36', '#2EC4B6', '#011627']
+        
+        # Generate plot
+        if st.button("Generate Graph"):
+            # Convert date column to datetime if it's not already
+            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,
+                         color_discrete_sequence=vibrant_colors)
+            
+            # Update legend names and hover template
+            for i, trace in enumerate(fig.data):
+                trace.name = legend_names[y_columns[i]]
+                trace.hovertemplate = f"{legend_names[y_columns[i]]}: %{{y}}<br>{x_axis_label}: %{{x}}<extra></extra>"
+            
+            # Layout updates with Times New Roman and black text
+            fig.update_layout(
+                title=dict(
+                    text=plot_title,
+                    x=0.5,
+                    xanchor='center',
+                    yanchor='top',
+                    font=dict(family="Times New Roman", color="black")
+                ),
+                showlegend=True,
+                legend=dict(
+                    orientation="v",
+                    yanchor="top",
+                    y=legend_y,
+                    xanchor="right",
+                    x=legend_x,
+                    bgcolor="white",
+                    bordercolor="Black",
+                    borderwidth=1,
+                    font=dict(family="Times New Roman", color="black"),
+                    title=dict(text="")
+                ),
+                hovermode='x unified',
+                plot_bgcolor='white',
+                paper_bgcolor='white',
+                xaxis=dict(
+                    showgrid=True,
+                    gridwidth=1,
+                    gridcolor='LightGray',
+                    showline=True,
+                    linewidth=1,
+                    linecolor='black',
+                    mirror=True,
+                    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='category'  # This ensures dates are treated as categories
+                ),
+                yaxis=dict(
+                    showgrid=True,
+                    gridwidth=1,
+                    gridcolor='LightGray',
+                    showline=True,
+                    linewidth=1,
+                    linecolor='black',
+                    mirror=True,
+                    title_text=y_axis_label,
+                    title_font=dict(family="Times New Roman", color="black"),
+                    tickfont=dict(family="Times New Roman", color="black")
+                ),
+                margin=dict(l=80, r=150, t=100, b=100),
+                width=900,
+                height=600,
+                shapes=[
+                    dict(
+                        type='rect',
+                        xref='paper',
+                        yref='paper',
+                        x0=0,
+                        y0=0,
+                        x1=1,
+                        y1=1,
+                        line=dict(
+                            color='black',
+                            width=2,
+                        )
+                    )
+                ],
+                font=dict(family="Times New Roman")
+            )
+            
+            # Display plot
+            st.plotly_chart(fig, use_container_width=True)
+            
+            # Download options
+            buffer = io.StringIO()
+            fig.write_html(buffer)
+            st.download_button(
+                label="📊 Download Plot",
+                data=buffer.getvalue(),
+                file_name="plot.html",
+                mime="text/html"
+            )
+
+# Footer
+st.markdown("---")
+st.markdown("""
+### 📝 Features:
+- Excel file upload and preview
+- Times New Roman font throughout
+- Black text for all elements
+- Clean legend display with custom names
+- Customizable plot title, axes labels, and legend names
+- Vibrant color schemes
+- Interactive legend positioning with precise controls
+- Interactive plot with hover details
+- Download options in HTML format
+"""
+"""
+### 📝 For Support And Assistance:
+
+Contact:
+- Harshitha Gunnam
+  gunnamharshitha2@gmail.com
+- Varun Ravichander
+  varunravichander2007@gmail.com
+""")

requirements.txt

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+streamlit==1.29.0
+pandas==2.1.4
+plotly==5.18.0
+openpyxl==3.1.2