Fixed str to int conversion issue#484
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padmajaborwankar wants to merge 1 commit intoTrusted-AI:mainfrom
Open
Fixed str to int conversion issue#484padmajaborwankar wants to merge 1 commit intoTrusted-AI:mainfrom
padmajaborwankar wants to merge 1 commit intoTrusted-AI:mainfrom
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Fixed str to int conversion issue Signed-off-by: padmajaborwankar <34915452+padmajaborwankar@users.noreply.github.com>
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| # Group age by decade | ||
| df['Age (decade)'] = df['age'].apply(lambda x: x//10*10) | ||
| df['Age (decade)'] = df['age'].astype(int).apply(lambda x: x//10*10) |
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Can we group integers or it is only feasible to group str?
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The 'age' had a String datatype due to which it was typecasted to integer and grouped as a decade.
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It'd be great if you can link to the issue #421 👍 |
anupamamurthi
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mnagired
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Sep 27, 2023
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mnagired
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although I was unable to recreate the bug itself, the changes don't break anything (tested on aif360==0.5.0 env) so it looks good to me
P.S. when doing print(type(df['age'].values[0])) on the line before the comment "Group age by decade", it looks like the type is <class 'numpy.int64'>, which explains why the issue wasn't able to be recreated.
Regardless, it's good to explicitly do astype(int)
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Fixed str to int conversion issue
Signed-off-by: Padmaja Borwankar padmajaborwankar@gmail.com