Metadata-Version: 2.1
Name: Aryan-Sindhi-101703110-outlier-removal
Version: 0.0.1
Summary: A small package that removes outliers from a pandas dataframe
Home-page: https://github.com/aryansindhi18/Aryan_Sindhi_101703110_outlier_removal
Author: Aryan Sindhi
Author-email: asindhi_be17@thapar.edu
License: UNKNOWN
Description: This Python package is created to remove outlier rows from a dataset.
        To use thi dataset 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 write:
        
        from Aryan_Sindhi_101703110_outlier_removal import outlier
        df = outlier.rem_out(data) 
        
        and your df variable will now contain the new data which
        will not contain outlier rows and this function will also
        print the number of rows deleted!
        THANKS!
        Aryan Sindhi
        101703110
        COE-5
        Thapar Institute of Engineering and Technology
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
