mattress 0.0.2

all your matrix representations belong here!

mattress

This project provides tatami matrix representations in Python.

Install

Package is published to PyPI

pip install mattress

Usage

Currently only supports dense matrices.

To convert a numpy dense matrix to tatami representation -

import numpy as np
from mattress import tatamize

x = np.random.rand(1000, 100)

tatamat = tatamize(y)

Methods are available to access the matrix by row, column

tatamat.row(0)
tatamat.column(1)

Additionally you can also specify if the input matrix is a column or row major.

x = np.ones((2, 3), order='F')
tatamat = tatamize(y, order="F")

Developer Notes

Steps to setup dependencies -

• initialize git submodules in extern/tatami & extern/tatami_hdf5

First one needs to build the extern library, this would generate a shared object file to src/mattress/core-[*].so

python setup.py build_ext --inplace

For typical development workflows, run this for tests

python setup.py build_ext --inplace && tox

Note

This project has been set up using PyScaffold 4.5. For details and usage information on PyScaffold see https://pyscaffold.org/.