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  • shoyer · 3 ✖

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  • Boolean indexing 'by' xr.DataArray · 3 ✖

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  • MEMBER · 3 ✖
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326157538 https://github.com/pydata/xarray/issues/1537#issuecomment-326157538 https://api.github.com/repos/pydata/xarray/issues/1537 MDEyOklzc3VlQ29tbWVudDMyNjE1NzUzOA== shoyer 1217238 2017-08-31T00:44:41Z 2017-08-31T00:44:41Z MEMBER

OK, here we go: ``` In [25]: class GoodWrappedArray(object): ...: def init(self, array): ...: self.array = array ...: def array(self, dtype=None): ...: return np.asarray(self.array, dtype) ...: def getitem(self, key): ...: return self.array[key] ...: def len(self): ...: return len(self.array) ...:

In [26]: ind = GoodWrappedArray(np.array([True, False, True]))

In [27]: np.arange(3)[ind] Out[27]: array([0, 2])

In [28]: class BadWrappedArray(object): ...: def init(self, array): ...: self.array = array ...: def array(self, dtype=None): ...: return np.asarray(self.array, dtype) ...: def getitem(self, key): ...: return BadWrappedArray(self.array[key]) ...: def len(self): ...: return len(self.array) ...:

In [29]: ind = BadWrappedArray(np.array([True, False, True]))

In [30]: np.arange(3)[ind] Out[32]: array([], shape=(0, 3), dtype=int64) ```

 
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   Boolean indexing 'by' xr.DataArray 253975242
326157080 https://github.com/pydata/xarray/issues/1537#issuecomment-326157080 https://api.github.com/repos/pydata/xarray/issues/1537 MDEyOklzc3VlQ29tbWVudDMyNjE1NzA4MA== shoyer 1217238 2017-08-31T00:41:25Z 2017-08-31T00:41:25Z MEMBER

Two more clues:

LazilyIndexedArray suffices to duplicate this issue: ``` In [20]: ind = xr.core.indexing.LazilyIndexedArray(np.array([True, False, True]))

In [21]: np.arange(3)[ind] Out[21]: array([], shape=(0, 3), dtype=int64) ```

But this simple array wrapper does not: ``` In [17]: class WrappedArray(object): ...: def init(self, array): ...: self.array = array ...: def array(self, dtype=None): ...: return np.asarray(self.array, dtype) ...: def getitem(self, key): ...: return WrappedArray(self.array[key]) ...: @property ...: def shape(self): ...: return self.array.shape ...: @property ...: def dtype(self): ...: return self.array.dtype ...:

In [18]: ind = WrappedArray(np.array([True, False, True]))

In [19]: np.arange(3)[ind] Out[19]: array([0, 2]) ```

 
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   Boolean indexing 'by' xr.DataArray 253975242
326037970 https://github.com/pydata/xarray/issues/1537#issuecomment-326037970 https://api.github.com/repos/pydata/xarray/issues/1537 MDEyOklzc3VlQ29tbWVudDMyNjAzNzk3MA== shoyer 1217238 2017-08-30T16:01:32Z 2017-08-30T16:01:32Z MEMBER

I think this is probably an upstream (numpy) bug. Indexing a NumPy array by an array-like object should be equivalent to casting it to a numpy array, i.e., array[np.asarray(ind)].

 
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   Boolean indexing 'by' xr.DataArray 253975242

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