I have a dataframe that one of the column contains string values, and I want to assign new column if this column values are in the list I specified.
my_list = ['AA', 'TR', 'NZ']
For example: My dataframe : df
country |
---|
AA |
TR |
SG |
The dataframe I want to have:
country | flag |
---|---|
AA | 1 |
TR | 1 |
SG | 0 |
I tried this one but I gave an Value Error.
df.assign(flag = lambda df: '1' if df['country'].isin(my_list) else '0')
What should I do? Thank you
You can directly convert your boolean to 0/1 with astype(int)
:
df.assign(flag= df['country'].isin(my_list).astype(int))
Or for a string:
df.assign(flag= df['country'].isin(my_list).astype(int).astype(str))
Alternatively, use numpy.where
:
import numpy as np
df.assign(flag=np.where(df['country'].isin(my_list), '1', '0'))
output:
country flag
0 AA 1
1 TR 1
2 SG 0