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README.md

@@ -1,12 +1,12 @@
+
 ---
-title: Plot Guide Zoom Main
-emoji: 🐢
-colorFrom: green
-colorTo: red
+title: plot_guide_zoom_main 
+emoji: 🔥
+colorFrom: indigo
+colorTo: indigo
 sdk: gradio
 sdk_version: 4.40.0
-app_file: app.py
+app_file: run.py
 pinned: false
+hf_oauth: true
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

data.py

@@ -0,0 +1,10 @@
+import pandas as pd
+import numpy as np
+import random
+
+df = pd.DataFrame({
+    'height': np.random.randint(50, 70, 25),
+    'weight': np.random.randint(120, 320, 25),
+    'age': np.random.randint(18, 65, 25),
+    'ethnicity': [random.choice(["white", "black", "asian"]) for _ in range(25)]
+})

requirements.txt

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+gradio-client @ git+https://github.com/gradio-app/gradio@4ba7b238e22ac042de14a6b69aa9d61536ddffba#subdirectory=client/python
+https://gradio-builds.s3.amazonaws.com/4ba7b238e22ac042de14a6b69aa9d61536ddffba/gradio-4.40.0-py3-none-any.whl

run.ipynb

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+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: plot_guide_zoom"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["# Downloading files from the demo repo\n", "import os\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/plot_guide_zoom/data.py"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "from data import df\n", "\n", "with gr.Blocks() as demo:\n", "    plt = gr.LinePlot(df, x=\"weight\", y=\"height\")\n", "\n", "    def select_region(selection: gr.SelectData):\n", "        min_w, max_w = selection.index\n", "        return gr.LinePlot(x_lim=(min_w, max_w)) # type: ignore\n", "\n", "    plt.select(select_region, None, plt)\n", "    plt.double_click(lambda: gr.LinePlot(x_lim=None), None, plt)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

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+import gradio as gr
+from data import df
+
+with gr.Blocks() as demo:
+    plt = gr.LinePlot(df, x="weight", y="height")
+
+    def select_region(selection: gr.SelectData):
+        min_w, max_w = selection.index
+        return gr.LinePlot(x_lim=(min_w, max_w)) # type: ignore
+
+    plt.select(select_region, None, plt)
+    plt.double_click(lambda: gr.LinePlot(x_lim=None), None, plt)
+
+if __name__ == "__main__":
+    demo.launch()