Package: python3-zarr (2.6.1+ds-1)

[ Source: zarr  ]

chunked, compressed, N-dimensional arrays for Python

Zarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing. Some highlights:

  - Create N-dimensional arrays with any NumPy dtype.
  - Chunk arrays along any dimension.
  - Compress chunks using the fast Blosc meta-compressor or
    alternatively using zlib, BZ2 or LZMA.
  - Store arrays in memory, on disk, inside a Zip file, on S3, ...
  - 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.
  - Use filters to preprocess data and improve compression.

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