On Fri, Jan 24, 2014 at 11:30 AM, Emanuele Olivetti <emanu...@relativita.com> wrote: > Hi, > > I just came across this unexpected behaviour when creating > a np.array() from two other np.arrays of different shape. > Have a look at this example: > ---- > import numpy as np > a = np.zeros(3) > b = np.zeros((2,3)) > c = np.zeros((3,2)) > ab = np.array([a, b]) > print ab.shape, ab.dtype > ac = np.array([a, c], dtype=np.object) > print ac.shape, ac.dtype > ac_no_dtype = np.array([a, c]) > print ac_no_dtype.shape, ac_no_dtype.dtype > ---- > The output, with NumPy v1.6.1 (Ubuntu 12.04) is: > ---- > (2,) object > (2, 3) object > Traceback (most recent call last): > File "/tmp/numpy_bug.py", line 9, in <module> > ac_no_dtype = np.array([a, c]) > ValueError: setting an array element with a sequence. > ---- > > The result for 'ab' is what I expect. The one for 'ac' is > a bit surprising. The one for ac_no_dtype even > is more surprising. > > Is this an expected behaviour?
the exception in ac_no_dtype is what I always expected, since it's not a rectangular array. It usually happened when I make a mistake. **Unfortunately** in newer numpy version it will also create an object array. AFAIR Josef > > Best, > > Emanuele > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
