Metadata-Version: 2.1
Name: hmvpack-NG
Version: 0.0.2
Summary: Handling missing values in python
Home-page: https://github.com/CachingNik/HMVPack
Author: Nikhil Gupta
Author-email: ngupta_be17@thapar.edu
License: UNKNOWN
Description: # HANDLING MISSING DATA
        
        ```
        PROJECT 3, UCS633 - Data Analysis and Visualization
        Nikhil Gupta  
        COE17
        Roll number: 101703371
        ```
        Output is the dataset which contains no missing values and this dataset is streamed to a new csv file whose name is provided by the user.
        
        ## Installation
        `pip install hmvpack_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
        The package contains two functions i.e there are two ways of handling missing data. First two arguments are same for accessing both functions. 
        
        1) Deleting the row with missing values.
        
        `HMVcli infile.csv outfile.csv D`
        
        2) Replacing the missing values by mean of the values of that particular feature
        
        `HMVcli infile.csv outfile.csv R`
        
        ## To use in .py script
        
        For Deletion function -> 
        
        ```
        from hmvlib.models import delete_record
        delete_record('infile.csv', 'oufile.csv')
        ```
        
        For Replacement function -> 
        
        ```
        from hmvlib.models import replace_record
        replace_record('infile.csv', 'oufile.csv')
        ```
        
        *Can email me for any issues or suggestions*
        
Keywords: CLI,missing,Data,HMV
Platform: UNKNOWN
Requires-Python: >=2.7
Description-Content-Type: text/markdown
