x4c: Xarray for CESM
[!NOTE] If you use
x4cin 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
1 maintainer
Metadata
1 maintainer
Release files for x4c 2026.6.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| x4c-2026.6.11.tar.gz | 85.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| x4c-2026.6.11-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 161.0 MB
Release files / x4c-2026.6.11.tar.gz
| Download URL | x4c-2026.6.11.tar.gz |
|---|---|
| Size | 85.3 MB |
| Tags | Source |
|
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No |
| Uploaded via |
twine/6.1.0 CPython/3.13.5
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Release files / x4c-2026.6.11-py3-none-any.whl
| Download URL | x4c-2026.6.11-py3-none-any.whl |
|---|---|
| Size | 75.7 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.5
|
