On Mar 12, 2015 5:02 PM, "Charles R Harris" <charlesr.har...@gmail.com> wrote: > > Hi All, > > This is apropos gh-5582 dealing with some corner cases of np.where. The following are the current behavior > > >>> import numpy > >>> numpy.where(True) # case 1 > ... (array([0]),) > >>> numpy.where(True, None, None) # case 2 > ... array(None, dtype=object) > >>> numpy.ma.where(True) # case 3 > ... (array([0]),) > >>> numpy.ma.where(True, None, None) # case 4 > ... (array([0]),) > > The question is, what exactly should be done in these cases? I'd be inclined to raise an error for cases 1 and 3. Case two looks correct to me if we agree that scalar inputs are acceptable. Case 4 looks wrong.
I can't think of any reason scalars wouldn't be acceptable. So everything you suggest sounds right to me. -n Hi All, This is apropos gh-5582 <https://github.com/numpy/numpy/pull/5582> dealing with some corner cases of np.where. The following are the current behavior >>> import numpy >>> numpy.where(True) # case 1 ... (array([0]),) >>> numpy.where(True, None, None) # case 2 ... array(None, dtype=object) >>> numpy.ma.where(True) # case 3 ... (array([0]),) >>> numpy.ma.where(True, None, None) # case 4 ... (array([0]),) The question is, what exactly should be done in these cases? I'd be inclined to raise an error for cases 1 and 3. Case two looks correct to me if we agree that scalar inputs are acceptable. Case 4 looks wrong. Thoughts? Chuck _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
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