Skip to main content

Outlier removal package

Project description

Library for Handling Missing Data

PROJECT 3, UCS633 - Data Analysis and Visualization
Nishchay Mahajan
COE18
Roll number: 101703377

Takes two inputs - filename of input csv, Method of handling data.

Resulting csv is saved with the name OUTPUT.CSV.

Installation

pip install missing-pypck

Use via command line

Drop rows with NaN python3 missing.py filename dropr

Drop columns with NaN python3 missing.py filename dropc

Imputing with mean python3 missing.py filename mean

Imputing with median python3 missing.py filename median

Imputing with mode python3 missing.py filename mode

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

missing-pypck-1.0.0.tar.gz (1.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

missing_pypck-1.0.0-py3-none-any.whl (3.1 kB view details)

Uploaded Python 3

File details

Details for the file missing-pypck-1.0.0.tar.gz.

File metadata

  • Download URL: missing-pypck-1.0.0.tar.gz
  • Upload date:
  • Size: 1.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for missing-pypck-1.0.0.tar.gz
Algorithm Hash digest
SHA256 cd2e2e815cd045cbf42e14c023665808c0e041041db7fc1452ecc3eb1486a217
MD5 b3c0302598c3b15d668a3c60a5e4222f
BLAKE2b-256 9092c4a70e04a21cb12f0c1c85c1a7046ac265f1d0b9573e2e49337965b71b94

See more details on using hashes here.

File details

Details for the file missing_pypck-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: missing_pypck-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 3.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for missing_pypck-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 439770091360ecfb42b86f9d24cb2d7ecb4267a4f670b8e718fdb606ec95075f
MD5 84b1e5e77f71538616c37bf9397b7da4
BLAKE2b-256 0a778e705810d2636379174bd4277118847111ed4e6bde440d08c385bc46a225

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