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This reverts commit 0868c25c56.
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---------
Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com>
Co-authored-by: Abubakar Abid <abubakar@huggingface.co>
Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com>
48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
import gradio as gr
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from vega_datasets import data
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cars = data.cars()
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iris = data.iris()
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def scatter_plot_fn(dataset):
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if dataset == "iris":
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return gr.ScatterPlot(
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value=iris,
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x="petalWidth",
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y="petalLength",
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color="species",
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title="Iris Dataset",
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color_legend_title="Species",
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x_title="Petal Width",
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y_title="Petal Length",
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tooltip=["petalWidth", "petalLength", "species"],
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caption="",
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)
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else:
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return gr.ScatterPlot(
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value=cars,
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x="Horsepower",
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y="Miles_per_Gallon",
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color="Origin",
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tooltip="Name",
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title="Car Data",
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y_title="Miles per Gallon",
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color_legend_title="Origin of Car",
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caption="MPG vs Horsepower of various cars",
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)
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with gr.Blocks() as scatter_plot:
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with gr.Row():
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with gr.Column():
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dataset = gr.Dropdown(choices=["cars", "iris"], value="cars")
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with gr.Column():
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plot = gr.ScatterPlot(show_label=False)
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dataset.change(scatter_plot_fn, inputs=dataset, outputs=plot)
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scatter_plot.load(fn=scatter_plot_fn, inputs=dataset, outputs=plot)
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if __name__ == "__main__":
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scatter_plot.launch()
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