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37 lines
1.7 KiB
Python
37 lines
1.7 KiB
Python
import os
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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\user\Desktop\浙江各地市分电压日电量数据'
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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)
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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'] = df_city['stat_date'].map(lambda x:x.strip())
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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.sort_values(by='stat_date',ascending=True,inplace=True)
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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\user\Desktop\浙江各地市分电压日电量数据\{city}.xlsx',index=False)
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# file_Dir = r'C:\Users\鸽子\Desktop\浙江各地市行业电量数据'
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# for excel in os.listdir(file_Dir):
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# 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)
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# df1.columns = df1.columns.map(lambda x:x.strip())
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# df2 = pd.read_excel(os.path.join(file_Dir,excel))
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# df2['地市'] = df2['地市'].map(lambda x:x.strip())
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# city = df2['地市'].iloc[0]
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# col_list = df2.columns
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# df1 = df1[col_list]
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# df1 = df1[(df1['stat_date']==20231028)&(df1['地市']==city)]
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# df1['stat_date'] = pd.to_datetime(df1['stat_date'],format='%Y%m%d')
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# df2 = pd.concat((df2,df1),ignore_index=True)
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# df2.to_excel(fr'C:\Users\鸽子\Desktop\浙江各地市行业电量数据\{city}.xlsx')
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