Skip to main content

A small package that handles missing values in pandas dataframe

Project description

This is a package to handle missing value in a pd dataframe. You have to run python file as: python inputfile.csv output file.csv n,n,c,n where last argument n,n,nc,n represents type of feature that is is it numerical feature or categorical feature, if you want to correctly get rrsults without any errors please follow instructions.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for aryansindhi-101703110-missing-1, version 0.0.1
Filename, size File type Python version Upload date Hashes
Filename, size aryansindhi_101703110_missing_1-0.0.1-py3-none-any.whl (4.7 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size aryansindhi_101703110_missing_1-0.0.1.tar.gz (3.0 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page