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 :
Python
Output :
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)
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 IDE's. Please run them on your systems to explore the working .