make factory demand to csv file
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35041
factory_power1.csv
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35041
factory_power1.csv
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xlsx2csv.py
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16
xlsx2csv.py
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import pandas as pd
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excel_file = 'factory_power1.xlsx'
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sheet_name = 'Sheet1'
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df = pd.read_excel(excel_file, sheet_name=sheet_name)
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start_date = '2023-01-01'
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df_power = pd.read_excel(excel_file,
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header=None,
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names=['FactoryPower'],
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dtype={'FactoryPower': float})
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times = pd.date_range(start=start_date, periods=len(df_power), freq='15min')
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df_power['Time'] = times
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df_power = df_power[['Time', 'FactoryPower']]
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df_power.to_csv('factory_power1.csv', index=True)
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