https://github.com/SciTools/python-stratify

Vectorized interpolators for Nd atmospheric and oceanographic data
https://github.com/SciTools/python-stratify

atmospheric-science cython interpolation numpy ocean-sciences

Last synced: 2 months ago
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Vectorized interpolators for Nd atmospheric and oceanographic data

Host: GitHub
URL: https://github.com/SciTools/python-stratify
Owner: SciTools
License: bsd-3-clause
Created: 2017-01-17T13:43:24.000Z (over 8 years ago)
Default Branch: main
Last Pushed: 2024-10-26T00:31:01.000Z (7 months ago)
Last Synced: 2024-10-30T03:44:24.732Z (7 months ago)
Topics: atmospheric-science, cython, interpolation, numpy, ocean-sciences
Language: Jupyter Notebook
Homepage:
Size: 986 KB
Stars: 26
Watchers: 11
Forks: 17
Open Issues: 21
Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff

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# Stratify

Interpolation for restratification, particularly useful for Nd vertical interpolation of atmospheric and oceanographic datasets

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**Are you a [SciTools/iris](https://github.com/SciTools/iris) user?** Did you know Iris provides a convenience for using Stratify with Iris `Cube`s? Try out [`iris.experimental.stratify`](https://scitools-iris.readthedocs.io/en/latest/generated/api/iris/experimental/stratify.html) and let the devs know what you think!

## Introduction

Discover the capabilities of `stratify` with this introductory [Jupyter Notebook](https://github.com/SciTools-incubator/python-stratify/blob/master/index.ipynb).

![](https://SciTools-incubator.github.io/python-stratify/summary.png)

## Installation

```shell
conda install --channel conda-forge python-stratify
```
```shell
pip install stratify
```

## License
Stratify is licenced under a [BSD 3-Clause License](LICENSE).

ecosyste.ms

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https://github.com/SciTools/python-stratify

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