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Browse files- requirements.txt +2 -2
- run.ipynb +1 -1
- run.py +0 -2
requirements.txt
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gradio-client @ git+https://github.com/gradio-app/gradio@
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https://gradio-builds.s3.amazonaws.com/
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pandas
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gradio-client @ git+https://github.com/gradio-app/gradio@9b42ba8f1006c05d60a62450d3036ce0d6784f86#subdirectory=client/python
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https://gradio-builds.s3.amazonaws.com/9b42ba8f1006c05d60a62450d3036ce0d6784f86/gradio-4.39.0-py3-none-any.whl
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pandas
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run.ipynb
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: bar_plot"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio pandas"]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import pandas as pd\n", "import random\n", "\n", "simple = pd.DataFrame(\n", " {\n", " \"a\": [\"A\", \"B\", \"C\", \"D\", \"E\", \"F\", \"G\", \"H\", \"I\"],\n", " \"b\": [28, 55, 43, 91, 81, 53, 19, 87, 52],\n", " }\n", ")\n", "\n", "fake_barley = pd.DataFrame(\n", " {\n", " \"site\": [\n", " random.choice(\n", " [\n", " \"University Farm\",\n", " \"Waseca\",\n", " \"Morris\",\n", " \"Crookston\",\n", " \"Grand Rapids\",\n", " \"Duluth\",\n", " ]\n", " )\n", " for _ in range(120)\n", " ],\n", " \"yield\": [random.randint(25, 75) for _ in range(120)],\n", " \"variety\": [\n", " random.choice(\n", " [\n", " \"Manchuria\",\n", " \"Wisconsin No. 38\",\n", " \"Glabron\",\n", " \"No. 457\",\n", " \"No. 462\",\n", " \"No. 475\",\n", " ]\n", " )\n", " for _ in range(120)\n", " ],\n", " \"year\": [\n", " random.choice(\n", " [\n", " \"1931\",\n", " \"1932\",\n", " ]\n", " )\n", " for _ in range(120)\n", " ],\n", " }\n", ")\n", "\n", "
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: bar_plot"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio pandas"]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import pandas as pd\n", "import random\n", "\n", "simple = pd.DataFrame(\n", " {\n", " \"a\": [\"A\", \"B\", \"C\", \"D\", \"E\", \"F\", \"G\", \"H\", \"I\"],\n", " \"b\": [28, 55, 43, 91, 81, 53, 19, 87, 52],\n", " }\n", ")\n", "\n", "fake_barley = pd.DataFrame(\n", " {\n", " \"site\": [\n", " random.choice(\n", " [\n", " \"University Farm\",\n", " \"Waseca\",\n", " \"Morris\",\n", " \"Crookston\",\n", " \"Grand Rapids\",\n", " \"Duluth\",\n", " ]\n", " )\n", " for _ in range(120)\n", " ],\n", " \"yield\": [random.randint(25, 75) for _ in range(120)],\n", " \"variety\": [\n", " random.choice(\n", " [\n", " \"Manchuria\",\n", " \"Wisconsin No. 38\",\n", " \"Glabron\",\n", " \"No. 457\",\n", " \"No. 462\",\n", " \"No. 475\",\n", " ]\n", " )\n", " for _ in range(120)\n", " ],\n", " \"year\": [\n", " random.choice(\n", " [\n", " \"1931\",\n", " \"1932\",\n", " ]\n", " )\n", " for _ in range(120)\n", " ],\n", " }\n", ")\n", "\n", "def bar_plot_fn(display):\n", " if display == \"simple\":\n", " return gr.BarPlot(\n", " simple,\n", " x=\"a\",\n", " y=\"b\",\n", " title=\"Simple Bar Plot with made up data\",\n", " tooltip=[\"a\", \"b\"],\n", " y_lim=[20, 100],\n", " )\n", " elif display == \"stacked\":\n", " return gr.BarPlot(\n", " fake_barley,\n", " x=\"variety\",\n", " y=\"yield\",\n", " color=\"site\",\n", " title=\"Barley Yield Data\",\n", " tooltip=[\"variety\", \"site\"],\n", " )\n", " elif display == \"grouped\":\n", " return gr.BarPlot(\n", " fake_barley.astype({\"year\": str}),\n", " x=\"year\",\n", " y=\"yield\",\n", " color=\"year\",\n", " group=\"site\",\n", " title=\"Barley Yield by Year and Site\",\n", " group_title=\"\",\n", " tooltip=[\"yield\", \"site\", \"year\"],\n", " )\n", " elif display == \"simple-horizontal\":\n", " return gr.BarPlot(\n", " simple,\n", " x=\"a\",\n", " y=\"b\",\n", " x_title=\"Variable A\",\n", " y_title=\"Variable B\",\n", " title=\"Simple Bar Plot with made up data\",\n", " tooltip=[\"a\", \"b\"],\n", " vertical=False,\n", " y_lim=[20, 100],\n", " )\n", " elif display == \"stacked-horizontal\":\n", " return gr.BarPlot(\n", " fake_barley,\n", " x=\"variety\",\n", " y=\"yield\",\n", " color=\"site\",\n", " title=\"Barley Yield Data\",\n", " vertical=False,\n", " tooltip=[\"variety\", \"site\"],\n", " )\n", " elif display == \"grouped-horizontal\":\n", " return gr.BarPlot(\n", " fake_barley.astype({\"year\": str}),\n", " x=\"year\",\n", " y=\"yield\",\n", " color=\"year\",\n", " group=\"site\",\n", " title=\"Barley Yield by Year and Site\",\n", " group_title=\"\",\n", " tooltip=[\"yield\", \"site\", \"year\"],\n", " vertical=False,\n", " )\n", "\n", "with gr.Blocks() as bar_plot:\n", " with gr.Row():\n", " with gr.Column():\n", " display = gr.Dropdown(\n", " choices=[\n", " \"simple\",\n", " \"stacked\",\n", " \"grouped\",\n", " \"simple-horizontal\",\n", " \"stacked-horizontal\",\n", " \"grouped-horizontal\",\n", " ],\n", " value=\"simple\",\n", " label=\"Type of Bar Plot\",\n", " )\n", " with gr.Column():\n", " plot = gr.BarPlot()\n", " display.change(bar_plot_fn, inputs=display, outputs=plot)\n", " bar_plot.load(fn=bar_plot_fn, inputs=display, outputs=plot)\n", "\n", "bar_plot.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
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run.py
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def bar_plot_fn(display):
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if display == "simple":
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return gr.BarPlot(
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vertical=False,
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with gr.Blocks() as bar_plot:
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with gr.Row():
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with gr.Column():
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}
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)
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def bar_plot_fn(display):
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if display == "simple":
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return gr.BarPlot(
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vertical=False,
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)
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with gr.Blocks() as bar_plot:
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with gr.Row():
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with gr.Column():
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