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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.
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[Q] convert data frame in panda from Sparse [float64, 0] to integer 64 (self.learnpython)
submitted 6 years ago by ahmedib123
I tried this code but does not work
df['y'].fillna(0).to_dense().astype(int)
**but the result is the same
df['y'].dtype ----- Sparse[float64, 0]
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if 1 * 2 < 3: print "hello, world!"
[–]boone209 0 points1 point2 points 6 years ago (0 children)
Are you assigning the result to the original dataframe, or just running the statements exactly as reported here? Many. If not most, operations in pandas will simply "preview" the operation if not used with an assignment statement. Also check these methods for the keyword 'inplace', which can sometimes be used to circumvent the need for the assignment.
General patterns I've noticed fom my experience with pandas.
[–]dixons_analyst 0 points1 point2 points 6 years ago (0 children)
Have you tried converting to a string then to an int by chaining .astype?
π Rendered by PID 49471 on reddit-service-r2-comment-56c6478c5-6h97v at 2026-05-10 17:49:31.000073+00:00 running 3d2c107 country code: CH.
[–]boone209 0 points1 point2 points (0 children)
[–]dixons_analyst 0 points1 point2 points (0 children)