counting the amount of True/False values in a pandas row
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Chapters
00:00 Counting The Amount Of True/False Values In A Pandas Row
00:26 Accepted Answer Score 12
00:51 Thank you
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Full question
https://stackoverflow.com/questions/3238...
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Tags
#python #pandas #dataframe
#avk47
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and get $2,000 discount on your first invoice
--------------------------------------------------
Music by Eric Matyas
https://www.soundimage.org
Track title: Ominous Technology Looping
--
Chapters
00:00 Counting The Amount Of True/False Values In A Pandas Row
00:26 Accepted Answer Score 12
00:51 Thank you
--
Full question
https://stackoverflow.com/questions/3238...
--
Content licensed under CC BY-SA
https://meta.stackexchange.com/help/lice...
--
Tags
#python #pandas #dataframe
#avk47
ACCEPTED ANSWER
Score 12
You can do this:
df[(df > 3).sum(axis=1) >= 3]
where df > 3 returns a Boolean mask over the entire DataFrame according to the condition, and sum(axis=1) returns the number of True in that mask, for each row. Finally the >=3 operation returns another mask that can be used to filter the original DataFrame.
Output:
A B C D E
b 3 6 5 8 8
c 6 2 5 5 2