x4c: Xarray for CESM
Project description
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file x4c-2026.5.26.tar.gz.
File metadata
- Download URL: x4c-2026.5.26.tar.gz
- Upload date:
- Size: 85.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0f0f2379b5c28b692ed92378ee9b6d934b58e537e317995f786c7e49a3800db8
|
|
| MD5 |
7353e69b52a05c2e880097026e69de74
|
|
| BLAKE2b-256 |
c569d89267d0f82cbad03e8875905d2cdead62fc614e89efb886e78ea84594c1
|
File details
Details for the file x4c-2026.5.26-py3-none-any.whl.
File metadata
- Download URL: x4c-2026.5.26-py3-none-any.whl
- Upload date:
- Size: 75.7 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5bf40ca89196ef8c72a4f1b445804e797aec71ec65ec0d25539e1dd1e2ecb1a9
|
|
| MD5 |
054f9b20ccdf3fe9bf6f2d6bdf5fde38
|
|
| BLAKE2b-256 |
afc52213704fabdb455395df47539ed98f3322e9693e1abb2aaa00839faf48f3
|
