import os 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\user\Desktop\浙江各地市分电压日电量数据' df = pd.read_excel(r'C:\Users\user\Desktop\浙江省各地市日电量及分压数据21-23年.xlsx',sheet_name=1) 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'] = df_city['stat_date'].map(lambda x:x.strip()) 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.sort_values(by='stat_date',ascending=True,inplace=True) df_city['stat_date'] = df_city['stat_date'].astype('str') df_city.to_excel(fr'C:\Users\user\Desktop\浙江各地市分电压日电量数据\{city}.xlsx',index=False) # file_Dir = r'C:\Users\鸽子\Desktop\浙江各地市行业电量数据' # for excel in os.listdir(file_Dir): # df1 = pd.read_excel(r'C:\Users\鸽子\Desktop\浙江各地市日电量数据-27-28).xlsx',sheet_name=1) # df1.columns = df1.columns.map(lambda x:x.strip()) # df2 = pd.read_excel(os.path.join(file_Dir,excel)) # df2['地市'] = df2['地市'].map(lambda x:x.strip()) # city = df2['地市'].iloc[0] # col_list = df2.columns # df1 = df1[col_list] # df1 = df1[(df1['stat_date']==20231028)&(df1['地市']==city)] # df1['stat_date'] = pd.to_datetime(df1['stat_date'],format='%Y%m%d') # df2 = pd.concat((df2,df1),ignore_index=True) # df2.to_excel(fr'C:\Users\鸽子\Desktop\浙江各地市行业电量数据\{city}.xlsx')