那怎么办
apply
对于分组数据?
def do_something(df):
print(df)
df = pd.DataFrame(columns = ["vin"], data = ['LHJLC79U58B001633','SZC84294845693987',
'LFGTCKPA665700387','L8YTCKPV49Y010001',
'LJ4TCBPV27Y010217','LFGTCKPM481006270',
'LFGTCKPM581004253','LTBPN8J00DC003107',
'1A9LPEER3FC596536','1A9LREAR5FC596814',
'1A9LKEER2GC596611','1A9L0EAH9C596099',
'22A000018'])
df['wmi'] = df['vin'].str[0:3]
df.groupby('wmi').apply(do_something)
输出:
vin wmi
8 1A9LPEER3FC596536 1A9
9 1A9LREAR5FC596814 1A9
10 1A9LKEER2GC596611 1A9
11 1A9L0EAH9C596099 1A9
vin wmi
8 1A9LPEER3FC596536 1A9
9 1A9LREAR5FC596814 1A9
10 1A9LKEER2GC596611 1A9
11 1A9L0EAH9C596099 1A9
vin wmi
12 22A000018 22A
vin wmi
3 L8YTCKPV49Y010001 L8Y
vin wmi
2 LFGTCKPA665700387 LFG
5 LFGTCKPM481006270 LFG
6 LFGTCKPM581004253 LFG
vin wmi
0 LHJLC79U58B001633 LHJ
vin wmi
4 LJ4TCBPV27Y010217 LJ4
vin wmi
7 LTBPN8J00DC003107 LTB
vin wmi
1 SZC84294845693987 SZC