This Python package is created to remove outlier rows from a dataset. To use this package you ned to create a pandas dataframe(you can use pd.read_csv() to do it), and to to use this package your dataset should have only numerical values and if you have any strings then you can use one hot encoding or simple label encoder to do that, but make sure before using it that it is all done. Now this function takes one argument that is the dataframe. To use it you have to download the python file and run it on COMMAND LINE as: python outlier.py full_path_ofinput_file.csv full_path_of_outputfile
You will get new dataset in your new csv file and it will also print number of rows removed
Release files for arushigupta-101703106-outlier 0.0.4
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Source distribution (sdist)
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| arushigupta_101703106_outlier-0.0.4.tar.gz | 1.4 kB | Details |
Built distribution (wheel)
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| arushigupta_101703106_outlier-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.0 kB
Release files / arushigupta_101703106_outlier-0.0.4.tar.gz
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Release files / arushigupta_101703106_outlier-0.0.4-py3-none-any.whl
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| Tags | Python 3 |
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