zarr-python

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  • Warning: count(): Parameter must be an array or an object that implements Countable in _term_reference_tree_output_list_level() (line 202 of /var/www/html/sites/all/modules/term_reference_tree/term_reference_tree.widget.inc).
  • Warning: count(): Parameter must be an array or an object that implements Countable in _term_reference_tree_output_list_level() (line 202 of /var/www/html/sites/all/modules/term_reference_tree/term_reference_tree.widget.inc).
  • Warning: count(): Parameter must be an array or an object that implements Countable in _term_reference_tree_output_list_level() (line 202 of /var/www/html/sites/all/modules/term_reference_tree/term_reference_tree.widget.inc).
Published by zarr-developers on March 18, 2022
Friday, March 18, 2022

Zarr

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What is it?

Zarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing. See the documentation for more information.

Main Features

  • Create N-dimensional arrays with any NumPy dtype.
  • Chunk arrays along any dimension.
  • Compress and/or filter chunks using any NumCodecs codec.
  • Store arrays in memory, on disk, inside a zip file, on S3, etc...
  • Read an array concurrently from multiple threads or processes.
  • Write to an array concurrently from multiple threads or processes.
  • Organize arrays into hierarchies via groups.

Where to get it

Zarr can be installed from PyPI using pip:

pip install zarr

or via conda:

conda install -c conda-forge zarr

For more details, including how to install from source, see the installation documentation.

Read more: 
http://zarr.readthedocs.io/
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