Not exactly sure if this should be a bug or not. This came up in a fairly general function of mine to process satellite data. Unexpectedly, one of the satellite files had no scans in it, triggering an exception when I tried to reshape the data from it.
>>> import numpy as np >>> a = np.zeros((0, 5*64)) >>> a.shape (0, 320) >>> a.shape = (0, 5, 64) >>> a.shape (0, 5, 64) >>> a.shape = (0, 5*64) >>> a.shape = (0, 5, -1) Traceback (most recent call last): File "<stdin>", line 1, in <module> ValueError: total size of new array must be unchanged So, if I know all of the dimensions, I can reshape just fine. But if I wanted to use the nifty -1 semantic, it completely falls apart. I can see arguments going either way for whether this is a bug or not. Thoughts? Ben Root
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