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* changes * changes * revert changes * changes * add changeset * notebooks script * changes * changes --------- Co-authored-by: Ali Abid <aliabid94@gmail.com> Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com> Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com>
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1.5 KiB
Gradio Demo: plot_guide_interactive¶
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!pip install -q gradio
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# Downloading files from the demo repo import os !wget -q https://github.com/gradio-app/gradio/raw/main/demo/plot_guide_interactive/data.py
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import gradio as gr from data import df with gr.Blocks() as demo: with gr.Row(): ethnicity = gr.Dropdown(["all", "white", "black", "asian"], value="all") max_age = gr.Slider(18, 65, value=65) def filtered_df(ethnic, age): _df = df if ethnic == "all" else df[df["ethnicity"] == ethnic] _df = _df[_df["age"] < age] return _df gr.ScatterPlot(filtered_df, inputs=[ethnicity, max_age], x="weight", y="height", title="Weight x Height") gr.LinePlot(filtered_df, inputs=[ethnicity, max_age], x="age", y="height", title="Age x Height") if __name__ == "__main__": demo.launch()