On Thu, Sep 13, 2012 at 9:01 AM, Travis Oliphant <[email protected]>wrote:
> > On Sep 13, 2012, at 8:40 AM, Nathaniel Smith wrote: > > > On Thu, Sep 13, 2012 at 11:12 AM, Matthew Brett <[email protected]> > wrote: > >> Hi, > >> > >> While writing some tests for np.concatenate, I ran foul of this code: > >> > >> if (axis >= NPY_MAXDIMS) { > >> ret = PyArray_ConcatenateFlattenedArrays(narrays, arrays, > NPY_CORDER); > >> } > >> else { > >> ret = PyArray_ConcatenateArrays(narrays, arrays, axis); > >> } > >> > >> in multiarraymodule.c > > > > How deeply weird > > > This is expected behavior. Heh, I guess "expected" is subjective: In [23]: np.__version__ Out[23]: '1.6.1' In [24]: a = zeros((2,2)) In [25]: b = ones((2,3)) In [26]: concatenate((a, b), axis=0) # Expected error. --------------------------------------------------------------------------- ValueError Traceback (most recent call last) /Users/warren/gitwork/class-material/demo/pytables/<ipython-input-26-7cefb735e507> in <module>() ----> 1 concatenate((a, b), axis=0) # Expected error. ValueError: array dimensions must agree except for d_0 In [27]: concatenate((a, b), axis=1) # Normal behavior. Out[27]: array([[ 0., 0., 1., 1., 1.], [ 0., 0., 1., 1., 1.]]) In [28]: concatenate((a, b), axis=2) # Cryptic error message. --------------------------------------------------------------------------- ValueError Traceback (most recent call last) /Users/warren/gitwork/class-material/demo/pytables/<ipython-input-28-0bce84c34ef1> in <module>() ----> 1 concatenate((a, b), axis=2) # Cryptic error message. ValueError: bad axis1 argument to swapaxes In [29]: concatenate((a, b), axis=32) # What the... ? Out[29]: array([ 0., 0., 0., 0., 1., 1., 1., 1., 1., 1.]) I would expect an error, consistent with the behavior when 1 < axis < 32. Warren > It's how the concatenate Python function manages to handle axis=None to > flatten the arrays before concatenation. This has been in NumPy since > 1.0 and should not be changed without deprecation warnings which I am -0 on. > > Now, it is true that the C-API could have been written differently (I > think this is what Mark was trying to encourage) so that there are two > C-API functions and they are dispatched separately from the > array_concatenate method depending on whether or not a None is passed in. > But, the behavior is documented and has been for a long time. > > Reference PyArray_AxisConverter (which turns a "None" Python argument into > an axis=MAX_DIMS). This is consistent behavior throughout the C-API. > > -Travis > > > > > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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