Zarr Python

Overview

Zarr is a Python library for storing large N-dimensional arrays with chunking and compression. Apply this skill for efficient parallel I/O, cloud-native workflows, and seamless integration with NumPy, Dask, and Xarray. The guidance targets zarr-python 3.x (current 3.4.0), which writes the Zarr v3 format by default.

When to Use This Skill

Use this skill when the user wants to:

• Create, open, or write chunked and compressed N-D arrays (zarr.create_array, groups, attributes).
• Choose chunk shapes, sharding, and codecs (Zstandard, Blosc, Gzip) for an access pattern.
• Put arrays on S3/GCS or other object stores and read slices remotely (consolidated metadata, sharding).
• Convert HDF5/NumPy/NetCDF data to Zarr, or migrate Zarr v2-era code (compressor=, synchronizer=, create_dataset) to v3.

Does NOT Trigger