Skip to main content

A complete implementation of the CF data model

Project description

The cfdm Python package is a complete implementation of the CF data model, that identifies the fundamental elements of the CF conventions and shows how they relate to each other, independently of the netCDF encoding.

The central element defined by the CF data model is the field construct, which corresponds to a CF-netCDF data variable with all of its metadata.

The cfdm package can

  • read field constructs from netCDF datasets,

  • create new field constructs in memory,

  • inspect field constructs,

  • test whether two field constructs are the same,

  • modify field construct metadata and data,

  • create subspaces of field constructs,

  • write field constructs to netCDF datasets on disk,

  • incorporate, and create, metadata stored in external files, and

  • read, write, and create data that have been compressed by convention (i.e. ragged or gathered arrays), whilst presenting a view of the data in its uncompressed form.

Command line utility

During installation the cfdump command line tool is also installed, which generates text descriptions of the field constructs contained in a netCDF dataset.

Source code

This project is hosted on a GitHub repository where you may access the most up-to-date source.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cfdm-1.7.5.tar.gz (205.2 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page