Could someone please explain to me what is happening here? I understand what is happening here: <a href="https://docs.scipy.org/doc/numpy-1.15.0/user/basics.indexing.html#index-arrays" target="_blank">https://docs.scipy.org/doc/numpy-1.15.0/user/basics.indexing.html#index-arrays</a>, but do not understand this piece of code.

Could someone please explain to me what is happening here? I understand what is happening here: https://docs.scipy.org/doc/numpy-1.15.0/user/basics.indexing.html#index-arrays, but do not understand this piece of code.

import numpy as np y = np.zeros((3,3)) y = y.astype(np.int16) y[1,1] = 1 x = np.ones((3,3)) t = (1-y).astype(np.int16) print(t) print(x[t]) x[(1-y).astype(np.int16)] = 0 print(x)

output:

[[1 1 1] [1 0 1] [1 1 1]][[[1. 1. 1.] [1. 1. 1.] [1. 1. 1.]]

[[1. 1. 1.] [1. 1. 1.] [1. 1. 1.]]

[[1. 1. 1.] [1. 1. 1.] [1. 1. 1.]]]

[[0. 0. 0.] [0. 0. 0.] [1. 1. 1.]]

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Learn the basics of the NumPy library in this tutorial for beginners. It provides background information on how NumPy works and how it compares to Python's Built-in lists. This video goes through how to write code with NumPy. It starts with the basics of creating arrays and then gets into more advanced stuff. The video covers creating arrays, indexing, math, statistics, reshaping, and more.

NumPy, which stands for Numerical Python, is a library consisting of multidimensional array objects and a collection of routines for processing those arrays. Using NumPy, mathematical and logical operations on arrays can be performed.