ke, 2018-03-21 kello 20:40 +0000, Michael Himes kirjoitti: > I have discovered what I believe is a bug with array slicing > involving 3D (and higher) dimension arrays. When slicing a 3D array > by a single value for axis 0, all values for axis 1, and a list to > slice axis 2, the dimensionality of the resulting 2D array is > flipped. However, slicing more than a single index for axis 0 or > performing the slicing in two steps results in the correct > dimensionality. Below is a quick example to demonstrate this > behavior. >
https://docs.scipy.org/doc/numpy/reference/arrays.indexing.html#combining-advanced-and-basic-indexing The key part seems to be: "There are two parts to the indexing operation, the subspace defined by the basic indexing (**excluding integers**) and the subspace from the advanced indexing part." -- Pauli Virtanen _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
