Skip to main content

x4c: Xarray for CESM

Project description

SIF NSF NSF DOI PyPI version PyPI PyPI license

x4c: Xarray for CESM

[!NOTE] If you use x4c in any way for your publications, please cite:

x4c is an Xarray extension that aims to support efficient and intuitive CESM output postprocessing, analysis, and visualization:

  • Postprocessing features: time series generation, seasonal cycle climatology generation, etc.
  • Analysis features: regrid, various of mean calculation, annualization/seasonalization, etc.
  • Visualization features: timeseries, horizontal and vertical 2D spatial plots, etc.

Disclaimer: This package is still in its early stage and under active development, and its API could be changed frequently.

For more details, please refer to the documentation linked below.

Documentation

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

x4c-2025.10.16.tar.gz (47.6 kB view details)

Uploaded Source

File details

Details for the file x4c-2025.10.16.tar.gz.

File metadata

  • Download URL: x4c-2025.10.16.tar.gz
  • Upload date:
  • Size: 47.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.5

File hashes

Hashes for x4c-2025.10.16.tar.gz
Algorithm Hash digest
SHA256 fe7e2702cb870db49a2932c22ccdec9c0a7ad4e69b5a978b65652885f1e4d7bd
MD5 7dace378203b36b1fb1fc0c0daba5082
BLAKE2b-256 80babac31b4addf0b3a7c7bd869ba60c5a16259a3f162af8b5087454f004da81

See more details on using hashes here.

Supported by

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