What is the difference of putmask and where? As it seems the only difference is the inplace behavior. This becomes more and more complicated as we have this subtle difference at many places (ravel vs. flat) and in future also the augmented assignment stuff, which also works for arrays now, although I do not know, if it's really an inplace assignment. What are the next functions for which a spacesaving variant is introduced? Would it be better to come to another convention for this type of optimization? As a side note the order of arguments is different for putmask and where. __Janko Paul F. Dubois writes:
There is (in CVS) a new function, putmask:
c = greater(x, 0) putmask(y, c, v) putmask(z, c, u+2)
The documentation is now online. Briefly: putmask(a, m, v) sets a to v where m is true.
a must be a contiguous array m must be the same total size as a (shape ignored) v will be repeated as needed to that size
The underlying work is done in C.
-----Original Message----- From: numpy-discussion-admin@lists.sourceforge.net [mailto:numpy-discussion-admin@lists.sourceforge.net]On Behalf Of Daehyok Shin Sent: Friday, October 13, 2000 5:26 PM To: Numpy Discussion Subject: [Numpy-discussion] [Q]Best way for an array operation?
What is the best Numpy way for the following work?
for i in range(len(x)): if x[i] > 0: y[i] = v[i] z[i] = u[i]+2
Daehyok Shin (Peter)
_______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net http://lists.sourceforge.net/mailman/listinfo/numpy-discussion _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net http://lists.sourceforge.net/mailman/listinfo/numpy-discussion