Skip to main content

A library to fit data with multiple fitters.

Project description

pyMultiFit

A python multi-fit library for fitting the data with multiple X fitters.

GitHub-licence GitHub top language GitHub contributors Github Issues GitHub OPEN PRs GitHub CLOSED PRs

What is pymultifit

pymultifit is a library made specifically to tackle one problem, fit the data with multiple fitters.

Fitter implementations include,

  • Gaussian fitter,
  • SkewedNormal fitter,
  • LogNormal fitter,
  • Exponential fitter,
  • Laplace fitter, and more.

Additionally, it provides capabilities to generated n-modal data as well through its generators module. Along with this, the user can also generate probability distribution data using distributions module.

How to install

Using pip: pip install pymultifit

Documentation

The documentation can be found on readthedocs

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

pymultifit-1.0.5.tar.gz (35.1 kB view details)

Uploaded Source

Built Distribution

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

pymultifit-1.0.5-py3-none-any.whl (56.2 kB view details)

Uploaded Python 3

File details

Details for the file pymultifit-1.0.5.tar.gz.

File metadata

  • Download URL: pymultifit-1.0.5.tar.gz
  • Upload date:
  • Size: 35.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.21

File hashes

Hashes for pymultifit-1.0.5.tar.gz
Algorithm Hash digest
SHA256 4cd3c7f58cb2ac6fe2b1939580a86523ca83f098618cc1e992225f4279d5c4ed
MD5 ef66a7db9c8af367e7f6ecfa8a03f6cf
BLAKE2b-256 b5de27668f85889204dc799d4e96dbfc7c7e8c62ae3f76f8bc4c52e1a356d58e

See more details on using hashes here.

File details

Details for the file pymultifit-1.0.5-py3-none-any.whl.

File metadata

  • Download URL: pymultifit-1.0.5-py3-none-any.whl
  • Upload date:
  • Size: 56.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.21

File hashes

Hashes for pymultifit-1.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 4a3285b395da781a79ceb53faea87caf951865d00016623a9e043212d51997cb
MD5 427a6b47d380e7fefa07d08e0c9a54f6
BLAKE2b-256 0451ceee98878c65e702b11608b44ddbf4c7978912edc756510c5f0e149858b1

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