issue_comments: 182448094
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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| https://github.com/pydata/xarray/issues/753#issuecomment-182448094 | https://api.github.com/repos/pydata/xarray/issues/753 | 182448094 | MDEyOklzc3VlQ29tbWVudDE4MjQ0ODA5NA== | 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 ``` 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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