tessl/pypi-zarr

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

Overview

Eval results

Files

Group Management

Name: tessl/pypi-zarr
Author: tessl

Functions for creating and managing hierarchical group structures. Groups provide organizational capabilities for complex datasets with multiple related arrays and enable hierarchical data organization.

Capabilities

Group Creation

def group(
    store: StoreLike = None,
    overwrite: bool = False,
    chunk_store: StoreLike = None,
    cache_attrs: bool = True,
    synchronizer: Any = None,
    path: str = None,
    **kwargs
) -> Group

Create or open a zarr group.

def create_group(
    store: StoreLike,
    path: str = None,
    overwrite: bool = False,
    chunk_store: StoreLike = None,
    cache_attrs: bool = True,
    synchronizer: Any = None,
    **kwargs
) -> Group

Create a new zarr group in specified storage.

def create_hierarchy(
    path: str,
    *args,
    **kwargs
) -> None

Create a hierarchical directory structure for zarr groups.

Usage Examples

Basic Group Operations

import zarr

# Create group
grp = zarr.group()

# Add arrays to group  
grp.create_array('temperature', shape=(365, 100, 100))
grp.create_array('pressure', shape=(365, 100, 100))

# Create nested groups
weather = grp.create_group('weather_data')
weather.create_array('daily_temp', shape=(365,))

Persistent Group Storage

# Create group in storage
grp = zarr.create_group('experiment_data.zarr')

# Organize data hierarchically
raw_data = grp.create_group('raw')
processed = grp.create_group('processed')
results = grp.create_group('results')

# Add arrays at different levels
raw_data.create_array('sensor1', shape=(1000, 10))
processed.create_array('filtered', shape=(1000, 10))
results.create_array('summary', shape=(10,))

Install with Tessl CLI