Is it possible to force pandas not to convert data type when using DataFrame.replace
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00:00 Question
00:41 Accepted answer (Score 8)
00:50 Answer 2 (Score 6)
01:09 Thank you
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Full question
https://stackoverflow.com/questions/4580...
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--
Music by Eric Matyas
https://www.soundimage.org
Track title: Ancient Construction
--
Chapters
00:00 Question
00:41 Accepted answer (Score 8)
00:50 Answer 2 (Score 6)
01:09 Thank you
--
Full question
https://stackoverflow.com/questions/4580...
--
Content licensed under CC BY-SA
https://meta.stackexchange.com/help/lice...
--
Tags
#python #pandas
#avk47
ACCEPTED ANSWER
Score 8
df.update(df.blocks['object'].astype(str).replace({',': '.'}))
ANSWER 2
Score 6
How about this:
In [25]: df.loc[:, df.dtypes=='object'] = \
df.select_dtypes(['object']).astype(str).replace({',': '.'})
This will apply .replace only to columns of a string (object) dtype