numpy.tri () in Python

NumPy | Python Methods and Functions

numpy.tri (R, C = No, k = 0, dtype = & # 39; float & # 39;): Creates an array with 1 at and below the given diagonal (about k) and 0 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 & gt; 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:"  , geek.tri (  2  ,   3  ,   1  , dtype   =   float  ),   ""  ) 
   
   print   ( " tri with main diagonal: " , geek.tri (  3  ,   5  ,   0  ),   ""  )  
   
   print   (  "tri with k = -1:"  , geek.tri (  3  ,   5  ,   -   1  ),   ""  )

Exit:

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.]]
Links:
https: / /docs.scipy.org/doc/numpy/reference/generated/numpy.tri.html
Notes:
These NumPy-Python programs will not work with onlineID, so run them on your systems to examine them
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This article is provided by Mohit Gupta_OMG

numpy.tri () in Python

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