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-0.3.0.tar.gz (18.2 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-0.3.0-py3-none-any.whl (21.6 kB view details)

Uploaded Python 3

File details

Details for the file fhil_python_utils-0.3.0.tar.gz.

File metadata

  • Download URL: fhil_python_utils-0.3.0.tar.gz
  • Upload date:
  • Size: 18.2 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-0.3.0.tar.gz
Algorithm Hash digest
SHA256 f1a02ad2eb270dcef562bbc8ed502f3c3a046326d6e5b938f661f6776d48c7fa
MD5 16aa12c6fd7a4d9e6a3117b10526c11d
BLAKE2b-256 428f814186ce9573d5508b3f0a2df2384fabe241a2ab29c15781a615fc635d35

See more details on using hashes here.

Provenance

The following attestation bundles were made for fhil_python_utils-0.3.0.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-0.3.0-py3-none-any.whl.

File metadata

File hashes

Hashes for fhil_python_utils-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9df6d31661dc9bd89e78fa26393bc3634386599cf61b270527375201540a5ebf
MD5 03989fb8a3f656ecdb3eb81d8907edf3
BLAKE2b-256 77cebbf189286de49e656037d3a4e7058688b632d41222df3c26b86af0df6a1b

See more details on using hashes here.

Provenance

The following attestation bundles were made for fhil_python_utils-0.3.0-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