Trying to replace certain strings with a binary value. I tried to find and replace but it only works for one value. I'd like to do it for multiple different labels. I'd like to replace dog and bat with 1 and cat and snail with 0 :
animal
0 cat
1 dog
2 snail
3 bat
4 deer
To:
animal
0 0
1 1
2 0
3 1
4 0
Here is my sample code:
cold=['cat','snail','deer']
df['animal'] = np.where(df['animal']=cold, '0', '1')
Your code almost works, just need a slight change.
df['animal'] = np.where(df['animal'].isin(cold), '0', '1')
animal
0 0
1 1
2 0
3 1
4 0
Or you could use the answer in the comment.
df['animal'] = (~df['animal'].isin(cold)).astype(int)
I Like np.select the most:
import numpy as np
cold = ['cat','snail','deer']
df = (df
.assign(animal=lambda x: np.select([x.animal.isin(cold)],
[0], default=1)
)
)