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A convenience wrapper for using pint with xarray.
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
FAQs
Physical units interface to xarray using Pint
We found that pint-xarray demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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