June 2015
Beginner
348 pages
8h 44m
English
Content preview from Numpy Beginner's Guide (Update)Become 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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Initialization
So far in this book, we encountered several convenient functions for intializing arrays. The full() and full_like() functions were recently added to NumPy to make initialization even easier.
The following short Python session shows (abbreviated) documentation for these two functions:
$ python >>> import numpy as np >>> help(np.full) Return a new array of given shape and type, filled with `fill_value`. >>> help(np.full_like)
Return a full array with the same shape and type as a given array.
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