numpy.tri(R, C = None, k = 0, dtype = ‘float’) : Creates an array with 1’s at and below the given diagonal(about k) and 0’s elsewhere.
Parameters :
R : Number of rows
C : [optional] Number of columns; By default R = C
k : [int, optional, 0 by default]
Diagonal we require; k>0 means diagonal above main diagonal or vice versa.
dtype : [optional, float(byDefault)] Data type of returned array.
# Python Program illustrating # numpy.tri method import numpy as geek print("tri with k = 1 : \n",geek.tri(2, 3, 1, dtype = float), "\n") print("tri with main diagonal : \n",geek.tri(3, 5, 0), "\n") print("tri with k = -1 : \n",geek.tri(3, 5, -1), "\n") |
Output :
tri with k = 1 : [[ 1. 1. 0.] [ 1. 1. 1.]] tri with main diagonal : [[ 1. 0. 0. 0. 0.] [ 1. 1. 0. 0. 0.] [ 1. 1. 1. 0. 0.]] tri with k = -1 : [[ 0. 0. 0. 0. 0.] [ 1. 0. 0. 0. 0.] [ 1. 1. 0. 0. 0.]]
References :
https://docs.scipy.org/doc/numpy/reference/generated/numpy.tri.html
Note :
These NumPy-Python programs won’t run on online IDE’s, so run them on your systems to explore them
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