issue_comments: 409822333

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https://github.com/pydata/xarray/issues/2292#issuecomment-409822333 https://api.github.com/repos/pydata/xarray/issues/2292 409822333 MDEyOklzc3VlQ29tbWVudDQwOTgyMjMzMw== 280924 2018-08-02T06:38:32Z 2018-08-02T06:38:32Z CONTRIBUTOR

We're using xarray in a project that is encouraging use of python typing, and we too would like to use enums as data dimension names. How do you feel about using a base class that data dimension classes need to subclass?

Here's a really simple proof-of-concept (though not very thorough, as it would certainly fail serialization): https://github.com/ttung/xarray/commit/8e623ebebc8f5c1e5615e6d07a82451c0dbe763d

``` In [1]: import xarray as xr

In [2]: import numpy as np

In [5]: from enum import Enum

In [6]: class A(xr.core.dataarray.DimensionBase, Enum): ...: X = "abc" ...: Y = "def" ...: Z = "ghi" ...:

In [7]: a = xr.DataArray(np.random.randint(0, 255, size=(4, 3, 5)), dims=[A.X, A.Y, A.Z])

In [8]: a[A.X] Out[8]: <xarray.DataArray \<A.X: 'abc'> (A.X: 4)> array([0, 1, 2, 3]) Dimensions without coordinates: A.X

In [9]: a.max(A.X) Out[9]: <xarray.DataArray (A.Y: 3, A.Z: 5)> array([[254, 226, 181, 191, 233], [139, 195, 212, 167, 169], [191, 241, 199, 174, 208]]) Dimensions without coordinates: A.Y, A.Z

In [10]: ```

 
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