Python中的 numpy.stack()

numpy.stack()函数用于沿新轴加入一系列相同维度的数组。axis 参数指定新轴在结果维度中的索引。例如，如果axis=0，它将是第一个维度，如果axis=-1，它将是最后一个维度。

Syntax : numpy.stack(arrays, axis)

Parameters :
arrays : [array_like] Sequence of arrays of the same shape.
axis : [int] Axis in the resultant array along which the input arrays are stacked.

Return : [stacked ndarray] The stacked array of the input arrays which has one more dimension than the input arrays.

代码#1：

# Python program explaining
# stack() function
  
import numpy as geek
  
# input array
in_arr1 = geek.array([ 1, 2, 3] )
print ("1st Input array : \n", in_arr1) 
  
in_arr2 = geek.array([ 4, 5, 6] )
print ("2nd Input array : \n", in_arr2) 
  
# Stacking the two arrays along axis 0
out_arr1 = geek.stack((in_arr1, in_arr2), axis = 0)
print ("Output stacked array along axis 0:\n ", out_arr1)
  
# Stacking the two arrays along axis 1
out_arr2 = geek.stack((in_arr1, in_arr2), axis = 1)
print ("Output stacked array along axis 1:\n ", out_arr2)

输出：

1st Input array : 
 [1 2 3]
2nd Input array : 
 [4 5 6]
Output stacked array along axis 0:
  [[1 2 3]
 [4 5 6]]
Output stacked array along axis 1:
  [[1 4]
 [2 5]
 [3 6]]

代码#2：

# Python program explaining
# stack() function
  
import numpy as geek
  
# input array
in_arr1 = geek.array([[ 1, 2, 3], [ -1, -2, -3]] )
print ("1st Input array : \n", in_arr1) 
  
in_arr2 = geek.array([[ 4, 5, 6], [ -4, -5, -6]] )
print ("2nd Input array : \n", in_arr2) 
  
# Stacking the two arrays along axis 0
out_arr1 = geek.stack((in_arr1, in_arr2), axis = 0)
print ("Output stacked array along axis 0:\n ", out_arr1)
  
# Stacking the two arrays along axis 1
out_arr2 = geek.stack((in_arr1, in_arr2), axis = 1)
print ("Output stacked array along axis 1:\n ", out_arr2)
  
# Stacking the two arrays along last axis 
out_arr3 = geek.stack((in_arr1, in_arr2), axis = -1)
print ("Output stacked array along last axis :\n ", out_arr3)

输出：

1st Input array : 
 [[ 1  2  3]
 [-1 -2 -3]]
2nd Input array : 
 [[ 4  5  6]
 [-4 -5 -6]]
Output stacked array along axis 0:
  [[[ 1  2  3]
  [-1 -2 -3]]

 [[ 4  5  6]
  [-4 -5 -6]]]
Output stacked array along axis 1:
  [[[ 1  2  3]
  [ 4  5  6]]

 [[-1 -2 -3]
  [-4 -5 -6]]]
Output stacked array along last axis :
  [[[ 1  4]
  [ 2  5]
  [ 3  6]]

 [[-1 -4]
  [-2 -5]
  [-3 -6]]]