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  • Empty DataArray should have a length of 0 · 3 ✖

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354701098 https://github.com/pydata/xarray/issues/1807#issuecomment-354701098 https://api.github.com/repos/pydata/xarray/issues/1807 MDEyOklzc3VlQ29tbWVudDM1NDcwMTA5OA== shoyer 1217238 2018-01-02T04:12:35Z 2018-01-02T04:12:35Z MEMBER

0-dimensional numpy array don't have a length because it isn't entirely clear what that would mean. In many cases, NumPy treats them as equivalent to Python scalars (e.g., float), which doesn't have a defined length.

 
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   Empty DataArray should have a length of 0 285349783
354699725 https://github.com/pydata/xarray/issues/1807#issuecomment-354699725 https://api.github.com/repos/pydata/xarray/issues/1807 MDEyOklzc3VlQ29tbWVudDM1NDY5OTcyNQ== shoyer 1217238 2018-01-02T03:50:07Z 2018-01-02T03:50:07Z MEMBER

I agree that it is a little surprising that we create a scalar array for tuples instead of 1D array like NumPy. To be honest, I'm not entirely sure why we do that, but looking in git history suggests it had something to do with making it easier to support pandas.MultiIndex (which has scalar values given by tuples).

 
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   Empty DataArray should have a length of 0 285349783
354699553 https://github.com/pydata/xarray/issues/1807#issuecomment-354699553 https://api.github.com/repos/pydata/xarray/issues/1807 MDEyOklzc3VlQ29tbWVudDM1NDY5OTU1Mw== shoyer 1217238 2018-01-02T03:47:10Z 2018-01-02T03:47:10Z MEMBER

Thanks for the report.

Creating a DataArray with a tuple actually creates a scalar (0-dimensional array): ``` In [40]: dr = xr.DataArray(())

In [41]: dr Out[41]: <xarray.DataArray ()> array((), dtype=object)

In [42]: dr.shape Out[42]: () `` We then raise aTypeError` when calculating the length of an empty DataArray, which is consistent with NumPy.

In contrast, if you make an empty DataArray with an empty list, you do get a 1D dimensional length 0 array: ``` In [54]: dr = xr.DataArray([])

In [55]: len(dr) Out[55]: 0

In [56]: dr.shape Out[56]: (0,) ```

 
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   Empty DataArray should have a length of 0 285349783

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