{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: barplot_component"]}, {"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", "\n", "simple = pd.DataFrame(\n", "    {\n", "        \"item\": [\"A\", \"B\", \"C\", \"D\", \"E\", \"F\", \"G\", \"H\", \"I\"],\n", "        \"inventory\": [28, 55, 43, 91, 81, 53, 19, 87, 52],\n", "    }\n", ")\n", "\n", "with gr.Blocks() as demo:\n", "    gr.BarPlot(\n", "        value=simple,\n", "        x=\"item\",\n", "        y=\"inventory\",\n", "        title=\"Simple Bar Plot\",\n", "        container=False,\n", "    )\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}