Skip to main content

Physical units interface to xarray using Pint

Project description

CI code coverage docs PyPI version codestyle conda-forge

pint-xarray

A convenience wrapper for using pint with xarray.

Usage

To convert the variables of a Dataset to quantities:

In [1]: import pint_xarray
   ...: import xarray as xr

In [2]: ds = xr.Dataset({"a": ("x", [0, 1, 2]), "b": ("y", [-3, 5, 1], {"units": "m"})})
   ...: ds
Out[2]:
<xarray.Dataset>
Dimensions:  (x: 3, y: 3)
Dimensions without coordinates: x, y
Data variables:
    a        (x) int64 0 1 2
    b        (y) int64 -3 5 1

In [3]: q = ds.pint.quantify(a="s")
   ...: q
Out[3]:
<xarray.Dataset>
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:

In [4]: c = q.pint.to({"a": "ms", "b": "km"})
   ...: c
Out[4]:
<xarray.Dataset>
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:

In [5]: d = c.pint.dequantify()
   ...: d
Out[5]:
<xarray.Dataset>
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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pint_xarray-0.4.tar.gz (47.8 kB view hashes)

Uploaded Source

Built Distribution

pint_xarray-0.4-py3-none-any.whl (32.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page