Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/xarray-contrib/pint-xarray
Interface for using pint with xarray, providing convenience accessors
https://github.com/xarray-contrib/pint-xarray
accessor pint xarray
Last synced: 9 days ago
JSON representation
Interface for using pint with xarray, providing convenience accessors
- Host: GitHub
- URL: https://github.com/xarray-contrib/pint-xarray
- Owner: xarray-contrib
- License: apache-2.0
- Created: 2020-04-07T10:21:19.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2024-09-16T20:48:25.000Z (about 2 months ago)
- Last Synced: 2024-09-17T02:14:49.468Z (about 2 months ago)
- Topics: accessor, pint, xarray
- Language: Python
- Homepage: https://pint-xarray.readthedocs.io/en/latest/
- Size: 310 KB
- Stars: 101
- Watchers: 8
- Forks: 12
- Open Issues: 25
-
Metadata Files:
- Readme: README.md
- Contributing: docs/contributing.rst
- License: LICENSE
Awesome Lists containing this project
- awesome-meteo - pint-xarray
README
[![CI](https://github.com/xarray-contrib/pint-xarray/workflows/CI/badge.svg?branch=main)](https://github.com/xarray-contrib/pint-xarray/actions?query=branch%3Amain)
[![code coverage](https://codecov.io/gh/xarray-contrib/pint-xarray/branch/main/graph/badge.svg)](https://codecov.io/gh/xarray-contrib/pint-xarray)
[![docs](https://readthedocs.org/projects/pint-xarray/badge/?version=latest)](https://pint-xarray.readthedocs.io)
[![PyPI version](https://img.shields.io/pypi/v/pint-xarray.svg)](https://pypi.org/project/pint-xarray)
[![codestyle](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)
[![conda-forge](https://img.shields.io/conda/vn/conda-forge/pint-xarray)](https://github.com/conda-forge/pint-xarray-feedstock)# pint-xarray
A convenience wrapper for using [pint](https://pint.readthedocs.io) with
[xarray](https://xarray.pydata.org).## Usage
To convert the variables of a `Dataset` to quantities:
```python
In [1]: import pint_xarray
...: import xarray as xrIn [2]: ds = xr.Dataset({"a": ("x", [0, 1, 2]), "b": ("y", [-3, 5, 1], {"units": "m"})})
...: ds
Out[2]:Dimensions: (x: 3, y: 3)
Dimensions without coordinates: x, y
Data variables:
a (x) int64 0 1 2
b (y) int64 -3 5 1In [3]: q = ds.pint.quantify(a="s")
...: q
Out[3]:Dimensions: (x: 3, y: 3)
Dimensions without coordinates: x, y
Data variables:
a (x) int64 [s] 0 1 2
b (y) int64 [m] -3 5 1
```
to convert to different units:
```python
In [4]: c = q.pint.to({"a": "ms", "b": "km"})
...: c
Out[4]:Dimensions: (x: 3, y: 3)
Dimensions without coordinates: x, y
Data variables:
a (x) float64 [ms] 0.0 1e+03 2e+03
b (y) float64 [km] -0.003 0.005 0.001
```
to convert back to non-quantities:
```python
In [5]: d = c.pint.dequantify()
...: d
Out[5]:Dimensions: (x: 3, y: 3)
Dimensions without coordinates: x, y
Data variables:
a (x) float64 0.0 1e+03 2e+03
b (y) float64 -0.003 0.005 0.001
```For more, see the [documentation](https://pint-xarray.readthedocs.io)