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README.md

@@ -1,12 +1,12 @@
+
 ---
-title: Plot Guide Temporal Main
-emoji: 📉
-colorFrom: blue
+title: plot_guide_temporal_main 
+emoji: 🔥
+colorFrom: indigo
 colorTo: indigo
 sdk: gradio
 sdk_version: 4.39.0
-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

requirements.txt

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+gradio-client @ git+https://github.com/gradio-app/gradio@9b42ba8f1006c05d60a62450d3036ce0d6784f86#subdirectory=client/python
+https://gradio-builds.s3.amazonaws.com/9b42ba8f1006c05d60a62450d3036ce0d6784f86/gradio-4.39.0-py3-none-any.whl

run.ipynb

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+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: plot_guide_temporal"]}, {"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": ["import gradio as gr\n", "import pandas as pd\n", "import numpy as np\n", "import random\n", "\n", "from datetime import datetime, timedelta\n", "now = datetime.now()\n", "\n", "df = pd.DataFrame({\n", "    'time': [now - timedelta(minutes=5*i) for i in range(25)],\n", "    'price': np.random.randint(100, 1000, 25),\n", "    'origin': [random.choice([\"DFW\", \"DAL\", \"HOU\"]) for _ in range(25)],\n", "    'destination': [random.choice([\"JFK\", \"LGA\", \"EWR\"]) for _ in range(25)],\n", "})\n", "\n", "with gr.Blocks() as demo:\n", "    gr.LinePlot(df, x=\"time\", y=\"price\")\n", "    gr.ScatterPlot(df, x=\"time\", y=\"price\", color=\"origin\")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

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+import gradio as gr
+import pandas as pd
+import numpy as np
+import random
+
+from datetime import datetime, timedelta
+now = datetime.now()
+
+df = pd.DataFrame({
+    'time': [now - timedelta(minutes=5*i) for i in range(25)],
+    'price': np.random.randint(100, 1000, 25),
+    'origin': [random.choice(["DFW", "DAL", "HOU"]) for _ in range(25)],
+    'destination': [random.choice(["JFK", "LGA", "EWR"]) for _ in range(25)],
+})
+
+with gr.Blocks() as demo:
+    gr.LinePlot(df, x="time", y="price")
+    gr.ScatterPlot(df, x="time", y="price", color="origin")
+
+if __name__ == "__main__":
+    demo.launch()