cfdb
CF conventions multi-dimensional array storage on top of Booklet
Documentation: https://mullenkamp.github.io/cfdb/
Source Code: https://github.com/mullenkamp/cfdb
cfdb is a pure Python database for managing labeled multi-dimensional arrays following the CF conventions. It is an alternative to netCDF4/xarray, built on Booklet for local file storage and EBooklet for S3 sync. Thread-safe and multiprocessing-safe via locks.
Installation
pip install cfdb
Quick Example
import cfdb
import numpy as np
with cfdb.open_dataset('example.cfdb', flag='n') as ds:
lat = ds.create.coord.lat(data=np.linspace(-90, 90, 181, dtype='float32'))
lon = ds.create.coord.lon(data=np.linspace(-180, 180, 361, dtype='float32'))
temp = ds.create.data_var.generic('temperature', ('latitude', 'longitude'), dtype='float32')
temp[:] = np.random.rand(181, 361).astype('float32') * 40 - 10
with cfdb.open_dataset('example.cfdb') as ds:
for slices, data in ds['temperature'].iter_chunks(include_data=True):
print(slices, data.shape)
Multivariable Rechunking
Efficiently iterate over multiple variables with synchronized chunks:
with cfdb.open_dataset('data.cfdb') as ds:
# Synchronized iteration over temperature and pressure
for target_chunk, var_data in ds.iter_chunks({'latitude': 50, 'longitude': 50}):
temp = var_data['temperature']
pres = var_data['pressure']
# Perform calculations on aligned blocks
See the full documentation for user guides, concepts, and API reference.
License
This project is licensed under the terms of the Apache Software License 2.0.
1 maintainer
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