python代码大全和用法用量_Python numpy.stack()用法及代码示例

numpy.stack()函数用于沿新轴连接相同尺寸数组的序列。axis参数指定结果轴尺寸中新轴的索引。例如，如果axis = 0，它将是第一个尺寸；如果axis = -1，它将是最后的尺寸。

用法： numpy.stack(arrays, axis)

参数：

arrays :[数组]相同形状的数组序列。

axis :[int]输入数组沿其堆叠的结果数组中的轴。

Return :[stacked ndarray]输入数组的堆栈数组，其维数比输入数组大。

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]]]

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