Skip to main content

For aggregating and visualizing variance, unique values and percent of missing values of features in any dataset.

Project description

About The Project

This is a small Python Function that allows you to see the variance, percentage of missing values and unique values within a dataset.

pip install quickpt

from quickpt.quickpt import quickpt
quickpt(df, graph=None, encode=True, width=800, height=400)

More information on the project

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

Change Log

0.0.1 (06/02/22)

  • First Release 0.0.2 (06/02/22)
  • Update Readme and GitHub Link 0.0.3 (06/02/22)
  • testing until working 0.0.4 (06/02/22)
  • testing until working 0.0.5 (06/02/22)
  • Set encoder default to False 0.0.6 (06/02/22)
  • added width and height parameters for graph visualization 0.0.7 (06/03/22)
  • fixed variance calculation

Project details


Download files

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

Source Distribution

quickpt-0.0.7.tar.gz (4.4 kB view details)

Uploaded Source

File details

Details for the file quickpt-0.0.7.tar.gz.

File metadata

  • Download URL: quickpt-0.0.7.tar.gz
  • Upload date:
  • Size: 4.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.2.0 pkginfo/1.8.1 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.0

File hashes

Hashes for quickpt-0.0.7.tar.gz
Algorithm Hash digest
SHA256 32e1a6b90848dc9bcf9ed1fa88f18790cc6550b62fae1f552ff047ae02f5eb2d
MD5 a42d789dbce0be6bec2a71b928476697
BLAKE2b-256 3101c116295c07a61bdaa8ae9914217aff34d888f5abfe23aa440f205cf2eb6c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page