Python numpy.bmat()用法及代码示例

numpy.bmat(obj，l_dict = None，g_dict = None)：从可以是string-like或array-like的嵌套对象返回专用的二维矩阵。
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. 
 

返回值：

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]]