https://github.com/biocpy/mopsy

Matrix operations
https://github.com/biocpy/mopsy

matrix numpy scipy

Last synced: 8 days ago
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Matrix operations

• Host: GitHub
• URL: https://github.com/biocpy/mopsy
• Owner: BiocPy
• License: mit
• Created: 2022-04-02T15:53:32.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2024-11-11T16:29:54.000Z (8 days ago)
• Last Synced: 2024-11-11T17:31:09.335Z (8 days ago)
• Topics: matrix, numpy, scipy
• Language: Python
• Homepage: https://biocpy.github.io/mopsy/
• Size: 3.08 MB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE.txt
  • Authors: AUTHORS.md

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# mopsy - Matrix Operations in Python

Convenience library to perform row/column operations over numpy and scipy matrices. Provides an interface similar to base R matrix methods/MatrixStats methods in python.

## Installation

Install from [pypi](https://pypi.org/project/mopsy/)

```shell

pip install mopsy

```

## Usage

```python

from mopsy import colsum

import random from rd

# generate a random sparse array with some density

from scipy.sparse import random

mat = random(10, 150, 0.25)

# generate random groups

ngrps = 15

gsets = [x for x in range(15)]

groups = [rd.choice(gsets) for x in range(mat.shape[axis])]

colsum(mat, groups)

```

Methods are available to perform `sum`, `median`, `mean` along any axis. a generic `apply` method is also available for perform row-wise or column-wise operations.

## Note

This project has been set up using PyScaffold 4.1.1. For details and usage

information on PyScaffold see https://pyscaffold.org/.