numpy.bmat() in Python

numpy.bmat(obj, l_dict = None, g_dict = None) : Return specialised 2-D matrix from nested objects that can be string-like or array-like.
Parameters :

  
object : array-like or string 
l_dict  : (dict, optional) replaces local operands,
A dictionary that replaces local operands in current frame
g_dict  : (dict, optional) replaces global operands, 
A dictionary that replaces global operands in current frame. 
 

Returns :

2-D matrix from nested objects

# Python Program illustrating
# numpy.bmat

import numpy as geek

A = geek.mat('4 1; 22 1')
B = geek.mat('5 2; 5 2')
C = geek.mat('8 4; 6 6')

# array like igeekut
a = geek.bmat([[A, B], [C, A]])
print("Via bmat array like input : \n", a, "\n\n")

# string like igeekut
s = geek.bmat('A, B; A, A')
print("Via bmat string like input : \n", s)

Output :

Via bmat array like input : 
 [[ 4  1  5  2]
 [22  1  5  2]
 [ 8  4  4  1]
 [ 6  6 22  1]] 


Via bmat string like input : 
 [[ 4  1  5  2]
 [22  1  5  2]
 [ 4  1  4  1]
 [22  1 22  1]]

Note :
These codes won’t run on online-ID. Please run them on your systems to explore the working
.
This article is contributed by Mohit Gupta_OMG 😀. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.

GATE CS Corner    Company Wise Coding Practice

Please write to us at contribute@geeksforgeeks.org to report any issue with the above content.

Recommended Posts:



0 Average Difficulty : 0/5.0
No votes yet.










Writing code in comment? Please use ide.geeksforgeeks.org, generate link and share the link here.