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What is the "correct" way of creating a 2D numpy "rect" array, like:
0000000000000000000
0000000000000000000
0000000000111110000
0000000000111110000
0000000000111110000
0000000000000000000
i.e. an array which has a given value inside certain bounds, or zero otherwise?
640
Create two dimensional (2D) Numpy Array of zeros To create a multidimensional numpy array filled with zeros, we can pass a sequence of integers as the argument in zeros() function. For example, to create a 2D numpy array or matrix of 4 rows and 5 columns filled with zeros, pass (4, 5) as argument in the zeros function.
Creating a Two-dimensional Array If you only use the arange function, it will output a one-dimensional array. To make it a two-dimensional array, chain its output with the reshape function. First, 20 integers will be created and then it will convert the array into a two-dimensional array with 4 rows and 5 columns.
square(arr, out = None, ufunc 'square') : This mathematical function helps user to calculate square value of each element in the array. Parameters : arr : [array_like] Input array or object whose elements, we need to square.
Just create an array of zeros and set the area you want to one.
E.g.
import numpy as np
data = np.zeros((6,18))
data[2:5, 9:14] = 1
print data
This yields:
[[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 1. 1. 1. 1. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]]
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