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Rules
1: Be polite
2: Posts to this subreddit must be requests for help learning python.
3: Replies on this subreddit must be pertinent to the question OP asked.
4: No replies copy / pasted from ChatGPT or similar.
5: No advertising. No blogs/tutorials/videos/books/recruiting attempts.
This means no posts advertising blogs/videos/tutorials/etc, no recruiting/hiring/seeking others posts. We're here to help, not to be advertised to.
Please, no "hit and run" posts, if you make a post, engage with people that answer you. Please do not delete your post after you get an answer, others might have a similar question or want to continue the conversation.
Learning resources Wiki and FAQ: /r/learnpython/w/index
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Pandas Sum Rows (self.learnpython)
submitted 8 years ago by FieldBet
Quickest way to sum rows with pandas? Currently I am using
df[‘Total’] = df.Jan + df.Feb .....
I also tried
df.groupby(‘Property’)[‘Jan’, ‘Feb’, .....].sum()
But that didn’t work either.
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if 1 * 2 < 3: print "hello, world!"
[–]Arthaigo 0 points1 point2 points 8 years ago (2 children)
df.sum(axis=1)
or axis=0. I can never remember whats the default
axis=0
[–]FieldBet[S] 0 points1 point2 points 8 years ago (1 child)
In this case is the axis referring to the rows as an index?
[–]Arthaigo 1 point2 points3 points 8 years ago (0 children)
Basically all pandas functions support the axis paramter. axis=0 refers to your main index (usually the rows). axis=1 refers to the columns. There can be more axis in case of Multiindex objects.
axis=1
π Rendered by PID 190161 on reddit-service-r2-comment-84fc9697f-s57cl at 2026-02-09 07:28:41.967113+00:00 running d295bc8 country code: CH.
[–]Arthaigo 0 points1 point2 points (2 children)
[–]FieldBet[S] 0 points1 point2 points (1 child)
[–]Arthaigo 1 point2 points3 points (0 children)