Skip to main content

A python package containing some easy-to-use tools for data cleaning / Exploration and ML.

Project description

PyWrangler:

A python package containing some easy-to-use functions for cleaning data. The package contains functions that allow you explore your data easily to:

  • Find missing/null values visually
  • Remove missing values
  • Find categorcial variables in your datatset
  • Remove highly correlated values.
  • Plot bar graphs and automatically add the percentages of variables.
  • Plot twin axis bar graphs
  • Adjust size of bars in bar graphs
  • Machine Learning for classification problems.

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

PyWrangler-0.0.2.tar.gz (1.3 kB view details)

Uploaded Source

File details

Details for the file PyWrangler-0.0.2.tar.gz.

File metadata

  • Download URL: PyWrangler-0.0.2.tar.gz
  • Upload date:
  • Size: 1.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for PyWrangler-0.0.2.tar.gz
Algorithm Hash digest
SHA256 aa7ed7a5002e8007d95427d6a3dca91fde3c21fb521478e9900030c07f12f6a6
MD5 00f53843972584aceab7c758b762c107
BLAKE2b-256 c83541e4de880fe2052148421dff15e58cb2bc1619d53669e2c93529d155f262

See more details on using hashes here.

Supported by

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