How to replace false with 0 and true with 1 in column when boolean masking is applied

Asked Apr 13 '20 at 12:37

Active Apr 13 '20 at 12:39

Viewed 37 times

for example i have column in dateframe 'df' named 'SPEED' . SO df[df['Speed']>50] will simply put true and false according to condition in that column. But i want to put 0 instead of false and 1 instead of true. How to do that?

asked Apr 13 '20 at 12:37

wm 50

1

`df['Speed'].gt(50).astype(int)`? – Quang Hoang Apr 13 '20 at 12:39
1

`*1` will help :) – JvdV Apr 13 '20 at 12:39
what for greater than equal to? – wm 50 Apr 13 '20 at 12:44
`ge` in place of `gt` – anky Apr 13 '20 at 12:45

How to replace false with 0 and true with 1 in column when boolean masking is applied

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