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  • creating DataArray from list of complex DataArray · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
182496455 https://github.com/pydata/xarray/issues/753#issuecomment-182496455 https://api.github.com/repos/pydata/xarray/issues/753 MDEyOklzc3VlQ29tbWVudDE4MjQ5NjQ1NQ== shoyer 1217238 2016-02-10T17:38:34Z 2016-02-10T17:38:34Z MEMBER

That does look strange! Please CC me when you file a numpy issue about it :).

 
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   creating DataArray from list of complex DataArray 132535802
182492860 https://github.com/pydata/xarray/issues/753#issuecomment-182492860 https://api.github.com/repos/pydata/xarray/issues/753 MDEyOklzc3VlQ29tbWVudDE4MjQ5Mjg2MA== nedlrichards 11950875 2016-02-10T17:27:51Z 2016-02-10T17:27:51Z CONTRIBUTOR

Interesting, thanks for looking into this. I'm sorry I didn't really put the time in to stack trace before I posted.

I think this issue can be traced back to numpy as follows:

float(np.array(1.)) # works complex(np.array(1., dtype=complex)) # type error

 
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   creating DataArray from list of complex DataArray 132535802
182448094 https://github.com/pydata/xarray/issues/753#issuecomment-182448094 https://api.github.com/repos/pydata/xarray/issues/753 MDEyOklzc3VlQ29tbWVudDE4MjQ0ODA5NA== shoyer 1217238 2016-02-10T16:05:36Z 2016-02-10T16:05:36Z MEMBER

The error message is actually coming from NumPy here:

``` In [8]: np.array([c1, c2])

TypeError Traceback (most recent call last) <ipython-input-8-e93d24f02743> in <module>() ----> 1 np.array([c1, c2])

/Users/shoyer/dev/xarray/xarray/core/common.py in complex(self) 67 68 def complex(self): ---> 69 return complex(self.values) 70 71 def long(self):

TypeError: can't convert complex to float ```

So this might be a numpy bug, but there's not much we can do about it directly here.

Generally, the suggested work around in these types of cases is to convert the data arrays into numpy arrays before you try to put them into another array constructor using .values, e.g.,

``` In [9]: np.array([c1.values, c2.values]) Out[9]: array([[ 1.+0.j, 2.+0.j], [ 3.+0.j, 4.+0.j]])

In [10]: xr.DataArray([c1.values, c2.values]) Out[10]: <xarray.DataArray (dim_0: 2, dim_1: 2)> array([[ 1.+0.j, 2.+0.j], [ 3.+0.j, 4.+0.j]]) Coordinates: * dim_0 (dim_0) int64 0 1 * dim_1 (dim_1) int64 0 1

In [7]: np.array([c1.values, c2.values]) Out[7]: array([[ 1.+0.j, 2.+0.j], [ 3.+0.j, 4.+0.j]]) ```

 
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   creating DataArray from list of complex DataArray 132535802

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