Hi, I have a bit of trouble figuring this out. I would have expected np.asarray(array) to go through ctors, PyArray_NewFromArray, but it seems to me it does not, so which execution path is exactly taken here? The reason I am asking is that I want to figure out this behavior/bug, and I really am not sure which function is responsible:
In [69]: o = np.ones(3) In [70]: no = np.asarray(o, order='C') In [71]: no[:] = 10 In [72]: o # OK, o was changed in place: Out[72]: array([ 10., 10., 10.]) In [73]: no.flags # But no claims to own its data! Out[73]: C_CONTIGUOUS : True F_CONTIGUOUS : True OWNDATA : True WRITEABLE : True ALIGNED : True UPDATEIFCOPY : False In [74]: no = np.asarray(o, order='F') In [75]: no[:] = 11 In [76]: o # Here asarray actually returned a real copy! Out[76]: array([ 10., 10., 10.]) Thanks, Sebastian _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
