This is a package to handle missing value in a pd dataframe. You have to run python file as: python file.py inputfile.csv output file.csv n,n,c,n where last argument n,n,nc,n represents type of feature that is is it numerical feature or categorical feature, if you want to correctly get rrsults without any errors please follow instructions.
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Release files for arushigupta-101703106-missing1 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| arushigupta_101703106_missing1-0.0.1.tar.gz | 2.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| arushigupta_101703106_missing1-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.4 kB
Release files / arushigupta_101703106_missing1-0.0.1.tar.gz
| Download URL | arushigupta_101703106_missing1-0.0.1.tar.gz |
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| Size | 2.9 kB |
| Tags | Source |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
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Release files / arushigupta_101703106_missing1-0.0.1-py3-none-any.whl
| Download URL | arushigupta_101703106_missing1-0.0.1-py3-none-any.whl |
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| Size | 4.5 kB |
| Tags | Python 3 |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
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