NumPy 数组操作 numpy.expand_dims

该函数通过在指定位置插入一个新轴来扩展数组。此函数需要两个参数。

numpy.expand_dims(arr, axis)

其中，

序号	参数和描述
1	arr 输入数组
2	axis 要插入新轴的位置

示例

import numpy as np 
x = np.array(([1,2],[3,4])) 

print 'Array x:' 
print x 
print '\n'  
y = np.expand_dims(x, axis = 0) 

print 'Array y:' 
print y 
print '\n'

print 'The shape of X and Y array:' 
print x.shape, y.shape 
print '\n'  
# insert axis at position 1 
y = np.expand_dims(x, axis = 1) 

print 'Array Y after inserting axis at position 1:' 
print y 
print '\n'  

print 'x.ndim and y.ndim:' 
print x.ndim,y.ndim 
print '\n'  

print 'x.shape and y.shape:' 
print x.shape, y.shape

以下是上述程序的输出结果：

以上程序的输出结果如下：

Array x:
[[1 2]
 [3 4]]

Array y:
[[[1 2]
 [3 4]]]

The shape of X and Y array:
(2, 2) (1, 2, 2)

Array Y after inserting axis at position 1:
[[[1 2]]
 [[3 4]]]

x.ndim and y.ndim:
2 3

x.shape and y.shape:
(2, 2) (2, 1, 2)