run.ipynb

{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: plot_guide_line"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio numpy pandas "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import pandas as pd\n", "import numpy as np\n", "import random\n", "\n", "df = pd.DataFrame({\n", "    'height': np.random.randint(50, 70, 25),\n", "    'weight': np.random.randint(120, 320, 25),\n", "    'age': np.random.randint(18, 65, 25),\n", "    'ethnicity': [random.choice([\"white\", \"black\", \"asian\"]) for _ in range(25)]\n", "})\n", "\n", "with gr.Blocks() as demo:\n", "    gr.LinePlot(df, x=\"weight\", y=\"height\")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}