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  • Bug in arithmetic operations on DataArray objects whose dimensions are numpy structured arrays or recarrays · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
221737294 https://github.com/pydata/xarray/issues/861#issuecomment-221737294 https://api.github.com/repos/pydata/xarray/issues/861 MDEyOklzc3VlQ29tbWVudDIyMTczNzI5NA== shoyer 1217238 2016-05-25T23:26:50Z 2016-05-25T23:26:50Z MEMBER

@maciekswat This is your PR, yes? https://github.com/pydata/xarray/pull/837

we are almost ready to merge -- just a few quick changes needed.

 
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   Bug in arithmetic operations on DataArray objects whose dimensions are numpy structured arrays or recarrays 156857895
221732500 https://github.com/pydata/xarray/issues/861#issuecomment-221732500 https://api.github.com/repos/pydata/xarray/issues/861 MDEyOklzc3VlQ29tbWVudDIyMTczMjUwMA== max-sixty 5635139 2016-05-25T22:57:41Z 2016-05-25T22:57:41Z MEMBER

Nice catch.

Or wrap isnull so it works throughout the code base? This is the function from pandas:

``` python In [19]: from pandas.core.common import _isnull

In [20]: _isnull?? Signature: _isnull(obj) Source: def _isnull_new(obj): if lib.isscalar(obj): return lib.checknull(obj) # hack (for now) because MI registers as ndarray elif isinstance(obj, pd.MultiIndex): raise NotImplementedError("isnull is not defined for MultiIndex") elif isinstance(obj, (gt.ABCSeries, np.ndarray, pd.Index)): return _isnull_ndarraylike(obj) elif isinstance(obj, gt.ABCGeneric): return obj._constructor(obj._data.isnull(func=isnull)) elif isinstance(obj, list) or hasattr(obj, 'array'): return _isnull_ndarraylike(np.asarray(obj)) else: return obj is None

File: ~/drive/workspace/pandas3/pandas/core/common.py Type: function ```

 
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   Bug in arithmetic operations on DataArray objects whose dimensions are numpy structured arrays or recarrays 156857895

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