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numpy.bmat() in Python
  • Last Updated : 29 Nov, 2018

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
.
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