issue_comments: 181631334

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https://github.com/pydata/xarray/issues/525#issuecomment-181631334 https://api.github.com/repos/pydata/xarray/issues/525 181631334 MDEyOklzc3VlQ29tbWVudDE4MTYzMTMzNA== 278566 2016-02-08T23:59:37Z 2016-02-08T23:59:37Z NONE

I am one of the authors of Pint and I was just pointed here by @arsenovic

Pint does not subclass ndarray, it rathers wrap any numerical type dispatching to the wrapped value any attribute access that does not understand. By defining __array_prepare__ and __array_wraps__ most numpy functions and array attributes work as expected without monkey patching or having a specialized math module. For example:

``` python

import numpy as np import pint ureg = pint.UnitRegistry() [1., 4., 9.] * ureg.meter # a list is interpreted as an ndarray <Quantity([1. 4. 9.], 'meter')> np.sqrt() <Quantity([ 1. 2. 3.], 'meter ** 0.5')> .sum() <Quantity(6.0, 'meter ** 0.5')> ```

I think something similar can be done for xarray.

 
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