Python中的 numpy.bmat()

numpy.bmat(obj, l_dict = None, g_dict = None) ：从嵌套对象返回专门的二维矩阵，可以是字符串或数组。
参数 ：

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. 
 

返回：

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)

输出 ：

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]]