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NumPy 数组操作 numpy.resize

此函数返回一个指定大小的新数组。如果新尺寸大于原始尺寸，则原始数组的条目将被重复复制。该函数接受以下参数。

numpy.resize(arr, shape)

在此，

序号	参数和说明
1	arr 要调整大小的输入数组
2	shape 结果数组的新形状

示例

import numpy as np 
a = np.array([[1,2,3],[4,5,6]]) 

print 'First array:' 
print a 
print '\n'

print 'The shape of first array:' 
print a.shape 
print '\n'  
b = np.resize(a, (3,2)) 

print 'Second array:' 
print b 
print '\n'  

print 'The shape of second array:' 
print b.shape 
print '\n'  
# Observe that first row of a is repeated in b since size is bigger 

print 'Resize the second array:' 
b = np.resize(a,(3,3)) 
print b

上述程序将产生以下输出 –

First array:
[[1 2 3]
 [4 5 6]]

The shape of first array:
(2, 3)

Second array:
[[1 2]
 [3 4]
 [5 6]]

The shape of second array:
(3, 2)

Resize the second array:
[[1 2 3]
 [4 5 6]
 [1 2 3]]