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
pip install mopsy
Usage
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/.
Release files for mopsy 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mopsy-0.3.0.tar.gz | 26.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mopsy-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 36.3 kB
Release files / mopsy-0.3.0.tar.gz
| Download URL | mopsy-0.3.0.tar.gz |
|---|---|
| Size | 26.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/6.0.1 CPython/3.9.21
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Release files / mopsy-0.3.0-py3-none-any.whl
| Download URL | mopsy-0.3.0-py3-none-any.whl |
|---|---|
| Size | 10.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.9.21
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