更新入模数据
parent
25c7202b32
commit
876ed895b3
@ -1,7 +1,18 @@
|
||||
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]]))
|
||||
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)
|
Loading…
Reference in New Issue