This package contains a variety of utility functions I have used in the past few years for data analysis.
The easiest way to install xgcm along with its dependencies is via conda forge:
conda install -c conda-forge xarrayutils
An alternative is to use pip:
pip install xarrayutils
You can get the newest version by installing directly from GitHub:
pip install git+https://github.com/jbusecke/xarrayutils.git
xarrayutils.utils provides some helpful tools to simplify common tasks in climate data analysis workflows.
xarrayutils.plotting provides several small utility functions to make common tasks I find in my workflow in matplotlib easier.
xarrayutils.file_handling contains a mix of functions that I found useful across a variety to save/load files. In particular there are functions in there to efficiently save large dask arrays out as temporary files to avoid large task graphs from causing memory problems. Hopefully these will become obsolete as dask continues to improve.
The utilities in xarrayutils.vertical_coordinates are superseeded by the new xgcm transform module.
The utilities in xarrayutils.vertical_coordinates are superseeded by the new xgcm transform module.
.. toctree:: :maxdepth: 2 :caption: Contents: utils plotting api whats-new