zarr-pythonlisted

# 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. ## Quick Start ### Installation ```bash uv pip install zarr ``` Requires Python 3.11+. For cloud storage support, install additional packages: ```python uv pip install s3fs # For S3 uv pip install gcsfs # For Google Cloud Storage ``` ### Basic Array Creation ```python import zarr import numpy as np # Create a 2D array with chunking and compression z = zarr.create_array( store="data/my_array.zarr", shape=(10000, 10000), chunks=(1000, 1000), dtype="f4" ) # Write data using NumPy-style indexing z[:, :] = np.random.random((10000, 10000)) # Read data data = z[0:100, 0:100] # Returns NumPy array ``` ## Core Operations ### Creating Arrays Zarr provides multiple convenience functions for array creation: ```python # Create empty array z = zarr.zeros(shape=(10000, 10000), chunks=(1000, 1000), dtype='f4', store='data.zarr') # Create filled arrays z = zarr.ones((5000, 5000), chunks=(500, 500)) z = zarr.full((1000, 1000), fill_value=42, chunks=(100, 100)) # Create from existing data data = np.arange(10000).reshape(100, 100) z = zarr.array(data, chunks=(10, 10), store='data.zarr') # Create like another array z2 = zarr.zeros_like(z) # Matches shape, chunks, dtype of z ``` ### Opening Existing Arra