recipe h5sparse

Scipy sparse matrix in HDF5.

Homepage:

https://github.com/appier/h5sparse

License:

MIT / MIT

Recipe:

/h5sparse/meta.yaml

package h5sparse

versions:

0.1.0-0

depends h5py:

depends numpy:

depends python:

depends scipy:

depends six:

requirements:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install h5sparse

and update with::

   mamba update h5sparse

To create a new environment, run:

mamba create --name myenvname h5sparse

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull quay.io/biocontainers/h5sparse:<tag>

(see `h5sparse/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/h5sparse/README.html)