Metadata-Version: 2.4
Name: x4c
Version: 2025.9.10
Summary: x4c: Xarray for CESM
Home-page: https://github.com/NCAR/x4c
Author: Feng Zhu
Author-email: fengzhu@ucar.edu
License: Apache-2.0
Keywords: Xarray,CESM,Climate Data Analysis and Visualization
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: netCDF4
Requires-Dist: xarray
Requires-Dist: dask
Requires-Dist: nc-time-axis
Requires-Dist: colorama
Requires-Dist: tqdm
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license
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# x4c: Xarray for CESM
> [!NOTE]
> If you use `x4c` in any way for your publications, please cite:
> 
> + Zhu, F., Levy, M., & Dobbins, B. (2025). x4c: Xarray for efficient CESM postprocessing, analysis, and visualization. Zenodo. https://doi.org/10.5281/zenodo.17028522

`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

+ Homepage: https://NCAR.github.io/x4c
+ Installation: https://NCAR.github.io/x4c/ug-installation.html
