December 2016
Intermediate to advanced
332 pages
6h 2m
English
book
Scientific Computing with Python 3
by Claus Führer, Claus Fuhrer, Jan Erik Solem, Olivier Verdier
Content preview from Scientific Computing with Python 3Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Array indexing
We have already seen that one may index arrays by combinations of slices and integers, this is the basic slicing technique. There are, however, many more possibilities, which allow for a variety of ways to access and modify array elements.
Indexing with Boolean arrays
It is often useful to access and modify only parts of an array, depending on its value. For instance, one might want to access all the positive elements of an array. This turns out to be possible using Boolean arrays, which act like masks to select only some elements of an array. The result of such an indexing is always a vector. For instance, consider the following example:
B = array([[True, False], [False, True]]) M = array([[2, 3], [1, 4]]) M[B] # array([2,4]), a vector ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.