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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd #stress hydrique and rendement, besoin en eau\n",
"import plotly.graph_objects as go\n",
"\n",
"def visualize_climate():\n",
" figure = go.Figure()\n",
" "
]
}
],
"metadata": {
"kernelspec": {
"display_name": "hackathon",
"language": "python",
"name": "python3"
},
"language_info": {
"name": "python",
"version": "3.13.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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