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zarr 3.1.5

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An implementation of chunked, compressed, N-dimensional arrays for Python

An implementation of chunked, compressed, N-dimensional arrays for Python

Stars: 1917, Watchers: 1917, Forks: 383, Open Issues: 550

The zarr-developers/zarr-python repo was created 10 years ago and the last code push was 11 hours ago.
The project is very popular with an impressive 1917 github stars!

How to Install zarr

You can install zarr using pip

pip install zarr

or add it to a project with poetry

poetry add zarr

Package Details

Author
None
License
None
Homepage
None
PyPi:
https://pypi.org/project/zarr/
GitHub Repo:
https://github.com/zarr-developers/zarr-python

Classifiers

  • Software Development/Libraries/Python Modules
No  zarr  pypi packages just yet.

Errors

A list of common zarr errors.

Code Examples

Here are some zarr code examples and snippets.

GitHub Issues

The zarr package has 550 open issues on GitHub

  • Improve the usability of array runtime config
  • getting the write_empty_chunks attribute of an array's config is onerous
  • DOC: confusing statement about write_empty_chunks default
  • numpy quad-precision float dtype
  • Invalid argument type on type checking if zarr arrays within groups are sliced
  • Add Zarr version to group/array not found error messages
  • 🐛 Fix obstore listdir method using _relativize_path
  • fix/nested shard reads
  • Nested shading can be generated, but not read back
  • memory cost of deleting "outside" chunks on resize is unbounded
  • default buffer logic
  • Default buffer logic in store ABC
  • Memory profiling and indexing arrays with shards
  • "Fancy" indexing a GPU-enabled zarr.Array
  • Zarr+obstore directory listing truncates names (likely str.lstrip bug), breaks AnnData/Zarr reads on Azure

See more issues on GitHub

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