pandas.DataFrame
({"POC":['K3525','P022','P0025'],
"AREA":['3','',''],
"COUNTRIES":['KR,US,MO','MY,IN,ZW,KR,US','VN,UK,ZW']})
POC | AREA | COUNTRIES |
---|---|---|
K3525 | 3 | KR,US,MO |
PO22 | MY,IN,ZW,KR,US | |
P0025 | VN,UK,ZW |
in this DataFrame, i want replace ',ZW' or 'ZW,' to ' '(i mean delete it) at one data(row is 'P0025', column is 'COUNTRIES')
i searched about it, but i can't find any method to set column and row. i found something like
df.replace({'COUNTRIES': {',ZW':'', 'ZW,':''}})
but it doesn't set row and column, just set column only.
desired result is
POC | AREA | COUNTRIES |
---|---|---|
K3525 | 3 | KR,US,MO |
PO22 | MY,IN,ZW,KR,US | |
P0025 | VN,UK |
not desired result is
POC | AREA | COUNTRIES |
---|---|---|
K3525 | 3 | KR,US,MO |
PO22 | MY,IN,KR,US | |
P0025 | VN,UK |
CodePudding user response:
Use:
m = df['POC'].eq('P0025')
df[m] = df[m].replace({'COUNTRIES': {',ZW':'', 'ZW,':''}})
Or:
df.loc[m, 'COUNTRIES'] = df.loc[m, 'COUNTRIES'].replace({',ZW':'', 'ZW,':''})