Hello, Recently I made some changes to a program I'm working on, and found that the changes made it four times slower than before. After some digging, I found out that one of the new costs was that I added structure arrays. Inside a low-level loop, I create a structure array, populate it Python, then turn it over to some handwritten C code for processing. It turned out that, when passed a structure array as a dtype, numpy has to parse the dtype, which included calls to re.match and eval.
Now, this is not a big deal for me to work around by using ordinary slicing and such, and also I can improve things by reusing arrays. Since this is inner loop stuff, sacrificing readability for speed is an appropriate tradeoff. Nevertheless, I was curious if there was a way (or any plans for there to be a way) to compile a struture array dtype. I realize it's not the bread-and-butter of numpy, but it turned out to be a very convenient feature for my use case (populating an array of structures to pass off to C). Thanks -- View this message in context: http://numpy-discussion.10968.n7.nabble.com/Question-about-structure-arrays-tp41653.html Sent from the Numpy-discussion mailing list archive at Nabble.com. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
