Reputation: 4766
I want to replace all True and False values in my dataframe
A B C D
12.23 False 43.34 True
78.56 True 67.78 False
Convert to
A B C D
12.23 0 43.34 1
78.56 1 67.78 0
I tried with following, but it didn't made that change (didn't do any change)
dataset = dataset.replace(True,1)
dataset = dataset.replace(False,0)
Appreciate your insights.
Upvotes: 1
Views: 1613
Reputation: 59274
Use a dict
>>> df.replace({True:1, False:0})
A B C D
0 12.23 0 43.34 1
1 78.56 1 67.78 0
From docs
, argument to_replace
accepts as input
str, regex, list, dict, Series, int, float, or None
For any other (hashable) data types, use their values as keys in a dictionary.
Upvotes: 6