building-agents/test.ipynb

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2024-06-18 10:49:43 +08:00
{
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{
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"id": "initial_id",
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"end_time": "2024-06-11T06:48:54.873304Z",
"start_time": "2024-06-11T06:48:54.842415500Z"
}
},
"outputs": [],
"source": [
"import pandas as pd\n",
"pv_df = pd.read_csv('data/PV.csv', sep=';')\n",
"temperature_df = pd.read_csv('data/temper.csv', sep=',')\n",
"\n",
"pv_data = pv_df['P_PV_'].apply(lambda x: x.replace(',', '.')).to_numpy(dtype=float)\n",
"temper = temperature_df['t2m'].to_numpy(dtype=float)"
]
},
{
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"outputs": [
{
"data": {
"text/plain": "array([0., 0., 0., ..., 0., 0., 0.])"
},
"execution_count": 25,
"metadata": {},
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}
],
"source": [
"pv_data"
],
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},
"id": "d37d5b6cd5cb7387"
},
{
"cell_type": "code",
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"outputs": [
{
"data": {
"text/plain": "array([-3.2424931, -3.4571036, -3.5921883, ..., 3.2034465, 1.3242432,\n 0.3394317])"
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"temper -= 273.15\n",
"temper"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2024-06-11T06:48:54.906957500Z",
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"display_name": "Python 3",
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