Skip to main content

General utility functions for Python data analysis and visualization at Fred Hutch Innovation Lab

Project description

FHIL Python Utils

A collection of general utility functions for Python data analysis and visualization, including SVM-based classification and plotting tools for various data types.

Submodules

  • svm: Support vector machine related utilities
  • plotting: general plots and plot utilities

Dependencies

  • pandas
  • numpy
  • scanpy
  • seaborn
  • matplotlib
  • pybiomart (for mapping ensembl IDs to gene symbols)
  • anndata
  • sklearn (for SVM functionality)

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

fhil_python_utils-0.1.1.tar.gz (13.7 kB view details)

Uploaded Source

Built Distribution

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

fhil_python_utils-0.1.1-py3-none-any.whl (15.0 kB view details)

Uploaded Python 3

File details

Details for the file fhil_python_utils-0.1.1.tar.gz.

File metadata

  • Download URL: fhil_python_utils-0.1.1.tar.gz
  • Upload date:
  • Size: 13.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for fhil_python_utils-0.1.1.tar.gz
Algorithm Hash digest
SHA256 21dc7ffa77475dc38b13b7d499f1f399593c7673754133ef8daf586039939b7b
MD5 5214c0c7117534017578ec3e84dd5b8d
BLAKE2b-256 d45eb83d3099fc442a505042480b6768d78164638332354acb122acc5fefb8f7

See more details on using hashes here.

Provenance

The following attestation bundles were made for fhil_python_utils-0.1.1.tar.gz:

Publisher: pypi-publish.yml on Fred-Hutch-Innovation-Lab/FHIL_python_utils

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file fhil_python_utils-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for fhil_python_utils-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 abbd51c8892c28e31850df58930eea888342edae1486f71bbdc43d47d34be7f3
MD5 a21e6f48af5b5d40c9461ec5b97cdb2a
BLAKE2b-256 ece2de90f87f914523a44742f344a7044801c25bd78f028e891bb0032431699a

See more details on using hashes here.

Provenance

The following attestation bundles were made for fhil_python_utils-0.1.1-py3-none-any.whl:

Publisher: pypi-publish.yml on Fred-Hutch-Innovation-Lab/FHIL_python_utils

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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