Metadata-Version: 2.1
Name: outlierpack-NG
Version: 0.0.8
Summary: Removing outliers from a pandas dataframe
Home-page: https://github.com/CachingNik/OutlierPack
Author: Nikhil Gupta
Author-email: ngupta_be17@thapar.edu
License: UNKNOWN
Description: # OUTLIER REMOVAL
        
        ```
        PROJECT 2, UCS633 - Data Analysis and Visualization
        Nikhil Gupta  
        COE17
        Roll number: 101703371
        ```
        Output is the number of rows removed from the input dataset. The remaining rows of the dataset are streamed to a new csv file whose name is required as an input.
        
        `The no of rows removed: 5`
        
        *Note the outlier removal is performed using **IQR** method.*
        
        ## Installation
        `pip install outlierpack_NG`
        
        *Note the name has an underscore not a hyphen. If installation gives error or package is not found after installing, install as sudo.*
        
        *Recommended - test it out in a virtual environment.* 
        
        ## To use via command line
        `outcli myData.csv newData.csv`
        
        First argument after outcli is the input csv filename from which the dataset is extracted. The second argument is for storing the final dataset after processing.
        
        ## To use in .py script
        ```
        from outlib.models import r_outliers
        r_outliers('myData.csv', 'newData.csv')
        ```
        
        *Can email me for any issues or suggestions*
        
Keywords: CLI,OUTLIER,Data,outlier removal
Platform: UNKNOWN
Requires-Python: >=2.7
Description-Content-Type: text/markdown
