Skip to main content

Python package for interval manipulation

Project description

IntervalFrame for interval manipulation

Build Status PyPI version Coffee

This is a Python package for easy and efficient manipulation of Next Generation Sequencing reads.

Install

If you dont already have numpy and scipy installed, it is best to download Anaconda, a python distribution that has them included.

    https://continuum.io/downloads

Dependencies can be installed by:

    pip install -r requirements.txt

PyPI install, presuming you have all its requirements installed:

	pip install intervalframe

Usage

from intervalframe import IntervalFrame
import numpy as np

# Create data
iframe = IntervalFrame()

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

intervalframe-1.1.11.tar.gz (37.5 kB view details)

Uploaded Source

Built Distribution

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

intervalframe-1.1.11-py3-none-any.whl (43.2 kB view details)

Uploaded Python 3

File details

Details for the file intervalframe-1.1.11.tar.gz.

File metadata

  • Download URL: intervalframe-1.1.11.tar.gz
  • Upload date:
  • Size: 37.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.11.3 Darwin/24.4.0

File hashes

Hashes for intervalframe-1.1.11.tar.gz
Algorithm Hash digest
SHA256 29673e4fc37d3dda8df380c7ebcb38070ae852291a5bbb5715e152504d5633fd
MD5 4c29904e88814781e4dea766bae02230
BLAKE2b-256 0376f30581ac87a569d9f55b50724f4745d698a3e7e18b800b022a2900b4178a

See more details on using hashes here.

File details

Details for the file intervalframe-1.1.11-py3-none-any.whl.

File metadata

  • Download URL: intervalframe-1.1.11-py3-none-any.whl
  • Upload date:
  • Size: 43.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.11.3 Darwin/24.4.0

File hashes

Hashes for intervalframe-1.1.11-py3-none-any.whl
Algorithm Hash digest
SHA256 2bb16df4ca9fcc33d9d504d0077b862560d3db59e1a11325e23b36816a76607b
MD5 83ef653834a716a08c0aff3c772968a9
BLAKE2b-256 3b00aa96c10546ed403ae8ba57ad05db0404d4c8b4e982724307045c15dd376d

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