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Create app.py
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app.py
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import streamlit as st
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import pandas as pd
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import plotly.express as px
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import plotly.graph_objects as go
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# Title of the App
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st.title("Excel Graph Visualizer")
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# File Upload Section
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uploaded_file = st.file_uploader("Upload your Excel file", type=["xlsx", "xls"])
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if uploaded_file:
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# Read Excel file
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try:
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df = pd.read_excel(uploaded_file)
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st.write("Data Preview:")
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st.dataframe(df)
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# Dropdown for selecting graph type
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graph_type = st.selectbox(
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"Select Graph Type",
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["Clustered Column", "Line Chart", "Single Axis", "Double Axis"]
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)
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# Dropdowns for selecting columns for x and y axes
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x_axis = st.selectbox("Select X-axis column", df.columns)
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y_axis = st.multiselect("Select Y-axis column(s)", df.columns)
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# Generate Graph based on selection
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if graph_type == "Clustered Column" and len(y_axis) > 0:
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fig = px.bar(df, x=x_axis, y=y_axis, barmode="group")
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st.plotly_chart(fig)
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elif graph_type == "Line Chart" and len(y_axis) > 0:
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fig = px.line(df, x=x_axis, y=y_axis)
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st.plotly_chart(fig)
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elif graph_type == "Single Axis" and len(y_axis) == 1:
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fig = px.line(df, x=x_axis, y=y_axis[0])
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st.plotly_chart(fig)
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elif graph_type == "Double Axis" and len(y_axis) == 2:
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fig = go.Figure()
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fig.add_trace(go.Scatter(x=df[x_axis], y=df[y_axis[0]], mode='lines', name=y_axis[0]))
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fig.add_trace(go.Scatter(x=df[x_axis], y=df[y_axis[1]], mode='lines', name=y_axis[1], yaxis="y2"))
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# Add a secondary y-axis
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fig.update_layout(
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yaxis2=dict(
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title=y_axis[1],
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overlaying='y',
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side='right'
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),
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title="Double Axis Graph"
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)
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st.plotly_chart(fig)
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else:
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st.warning("Please select appropriate columns and graph type.")
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except Exception as e:
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st.error(f"Error loading file: {e}")
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else:
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st.info("Please upload an Excel file to get started.")
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# Add Footer
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st.write("---")
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st.write("Developed using [Streamlit](https://streamlit.io) and [Hugging Face Spaces](https://huggingface.co/spaces).")
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