An implementation of chunked, compressed, N-dimensional arrays for Python.
Project description
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.
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| Filename, size | File type | Python version | Upload date | Hashes |
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| Filename, size zarr-2.7.0-py3-none-any.whl (137.8 kB) | File type Wheel | Python version py3 | Upload date | Hashes View |
| Filename, size zarr-2.7.0.tar.gz (3.5 MB) | File type Source | Python version None | Upload date | Hashes View |
