CF Python
The Python cf package is an Earth science data analysis library that is built on a complete implementation of the CF data model.
Documentation
Dask
From version 3.14.0, the cf package uses Dask for all of its data manipulations.
Recipes
Tutorial
Installation
Command line utilities
During installation the cfa command line utility is also installed, which
generates text descriptions of field constructs contained in files, and
creates new datasets aggregated from existing files.
Visualization
Powerful, flexible, and very simple to produce visualizations of field constructs are available with the cf-plot package, that needs to be installed separately to the cf package.
Training
Functionality
The cf package implements the CF data model for its internal data structures and so is able to process any CF-compliant dataset. It is not strict about CF-compliance, however, so that partially conformant datasets may be ingested from existing datasets and written to new datasets. This is so that datasets which are partially conformant may nonetheless be modified in memory.
The cf package can:
read field and domain constructs from netCDF, CDL, Zarr, Kerchunk, PP and UM datasets with a choice of netCDF backends, including from local, HTTP, OPeNDAP and S3 locations,
be fully flexible with respect to dataset storage chunking,
create new field and domain constructs in memory,
write and append field and domain constructs to netCDF and Zarr v3 datasets on disk, with control over HDF5 internal file metadata,
read, write, and manipulate UGRID mesh topologies,
read, write, and manipulate HEALPix grids,
read, write, and create coordinates defined by geometry cells,
read and write netCDF4 string data-type variables,
read, write, and create netCDF and CDL datasets containing hierarchical groups,
read, write, and create data that have been compressed by convention (i.e. ragged or gathered arrays, or coordinate arrays compressed by subsampling), whilst presenting a view of the data in its uncompressed form,
read and write data that are quantized to eliminate false precision,
convert field and domain constructs to xarray datasets in memory,
inspect field constructs,
test whether two field constructs are the same,
modify field construct metadata and data,
create subspaces of field constructs,
incorporate, and create, metadata stored in external files,
combine field constructs arithmetically,
manipulate field construct data by arithmetical and trigonometrical operations,
perform weighted statistical collapses on field constructs, including those with geometry cells, UGRID mesh topologies, and HEALPix grids,
perform histogram, percentile and binning operations on field constructs,
regrid structured grid, UGRID, HEALPix, and DSG field constructs with (multi-)linear, nearest neighbour, first- and second-order conservative and higher order patch recovery methods, including 3-d regridding, and large-grid support,
apply convolution filters to field constructs,
create running means from field constructs,
apply differential operators to field constructs, and
create derived quantities (such as relative vorticity).
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