import numpy as np
import pandas as pd
n1 = np.array([[1,1,1]])
n2 = np.array([1,1,1]).reshape(1,-1)
print(n2)
n2 = np.array([]).reshape(3,-1)

print(np.max([[1,2,3],[4,5,6]]))

file_dir = r'C:\Users\鸽子\Desktop\浙江各地市分电压日电量数据'
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')
df.columns = df.columns.map(lambda x:x.strip())
for city in df['地市'].drop_duplicates():
    df_city = df[df['地市']== city]
    df_city['stat_date'] = pd.to_datetime(df_city['stat_date'],format='%Y/%m/%d')
    df_city = df_city[df_city.columns[:-1]]
    df_city['stat_date'] = df_city['stat_date'].astype('str')
    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)