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-1.0.6.tar.gz (35.5 kB view details)

Uploaded Source

Built Distribution

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

pymultifit-1.0.6-py3-none-any.whl (56.8 kB view details)

Uploaded Python 3

File details

Details for the file pymultifit-1.0.6.tar.gz.

File metadata

  • Download URL: pymultifit-1.0.6.tar.gz
  • Upload date:
  • Size: 35.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.21

File hashes

Hashes for pymultifit-1.0.6.tar.gz
Algorithm Hash digest
SHA256 fa7773cfde04f3cbf1fe62168698e7fad39c90cc96e68255321c118b1d820afa
MD5 06f2d58ddd64c7be2dd322adcd42c158
BLAKE2b-256 24d041a26a728270f876dfa8c42dfb4e82c78ead22d143ca0e1ee84f49a81aa7

See more details on using hashes here.

File details

Details for the file pymultifit-1.0.6-py3-none-any.whl.

File metadata

  • Download URL: pymultifit-1.0.6-py3-none-any.whl
  • Upload date:
  • Size: 56.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.21

File hashes

Hashes for pymultifit-1.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 cdd4a29c159baff2fe9fdb88e7f24cd54774a806bfe9a90cf4f33e1748be0c82
MD5 2565c6334706661f27bce50bdb2bef21
BLAKE2b-256 731e0df6b6c41f2bd13207b0c404dee42616d6236f58968c4c4ba79fe592e128

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