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import numpy as np
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import pandas as pd
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n1 = np.array([[1,1,1]])
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n2 = np.array([1,1,1]).reshape(1,-1)
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print(n2)
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n2 = np.array([]).reshape(3,-1)
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print(np.max([[1,2,3],[4,5,6]]))
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file_dir = r'C:\Users\鸽子\Desktop\浙江各地市分电压日电量数据'
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df = pd.read_csv(r'C:\Users\鸽子\Desktop\浙江省各地市日电量数据21-23年 .csv',encoding='gbk')
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df.columns = df.columns.map(lambda x:x.strip())
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for city in df['地市'].drop_duplicates():
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df_city = df[df['地市']== city]
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df_city['stat_date'] = pd.to_datetime(df_city['stat_date'],format='%Y/%m/%d')
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df_city = df_city[df_city.columns[:-1]]
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df_city['stat_date'] = df_city['stat_date'].astype('str')
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df_city.to_excel(fr'C:\Users\鸽子\Desktop\浙江各地市分电压日电量数据\{city}.xlsx',index=False)
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