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README.md
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---
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title:
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sdk: gradio
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sdk_version: 3.13.0
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app_file:
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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title: scatterplot_component_main
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emoji: 🔥
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colorFrom: indigo
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sdk: gradio
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sdk_version: 3.13.0
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app_file: run.py
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pinned: false
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requirements.txt
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vega_datasets
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https://gradio-main-build.s3.amazonaws.com/9c8fa8bf45105032fc71e9ccad68c773464dfccb/gradio-3.13.0-py3-none-any.whl
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run.ipynb
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{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: scatterplot_component"]}, {"cell_type": "code", "execution_count": null, "id": 272996653310673477252411125948039410165, "metadata": {}, "outputs": [], "source": ["!pip install -q gradio vega_datasets"]}, {"cell_type": "code", "execution_count": null, "id": 288918539441861185822528903084949547379, "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "from vega_datasets import data\n", "\n", "cars = data.cars()\n", "\n", "with gr.Blocks() as demo:\n", " gr.ScatterPlot(show_label=False,\n", " value=cars,\n", " x=\"Horsepower\",\n", " y=\"Miles_per_Gallon\",\n", " color=\"Origin\",\n", " tooltip=\"Name\",\n", " title=\"Car Data\",\n", " y_title=\"Miles per Gallon\",\n", " color_legend_title=\"Origin of Car\").style(container=False)\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
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run.py
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import gradio as gr
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from vega_datasets import data
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cars = data.cars()
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with gr.Blocks() as demo:
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gr.ScatterPlot(show_label=False,
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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").style(container=False)
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if __name__ == "__main__":
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demo.launch()
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