https://github.com/noone03/handle_missing_value

Create and save .csv file with replaced categorical and non-categorical missing values
https://github.com/noone03/handle_missing_value

categorical-attributes missing-values non-categorical python3

Last synced: 7 months ago
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Create and save .csv file with replaced categorical and non-categorical missing values

• Host: GitHub
• URL: https://github.com/noone03/handle_missing_value
• Owner: NoOne03
• License: mit
• Created: 2020-02-20T21:01:42.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-02-20T21:44:29.000Z (over 5 years ago)
• Last Synced: 2024-08-02T20:05:22.717Z (about 1 year ago)
• Topics: categorical-attributes, missing-values, non-categorical, python3
• Language: Python
• Homepage:
• Size: 4.88 KB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Handle-Missing-Values 

Create and save .csv file with replaced categorical and non-categorical missing values.PyPI Project link here 

Brief

Replaces missing non-categorical values with mean of respective columns and uses KNN for missing categorical values

Installation & Usage

Use below commands:



  
pip install handle-missing-csv

  
python3

>>>from missing import missing


>>>t = missing.missing(input_filename,output_filename,methods)

 
methods can be "replace" or "remove"


e.g . t = missing.missing("mydata.csv","out.csv","replace")