Numpy的数组合并函数vstack、hstack

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一、hstack()

二、vatack()

一、hstack()

#vertical stack (类似于垂直合并)

import numpy as np

a = np.array([[1, 2, 3, 4], [5, 6, 7, 8]])
b = np.array([[1, 2, 9, 10], [5, 6, 7, 8]])

a
>>>
[[1 2 3 4]
 [5 6 7 8]]
b
>>>
[[ 1  2  9 10]
 [ 5  6  7  8]]

c = np.vatack(a, b)

c
>>>
[[ 1  2  3  4]
 [ 5  6  7  8]
 [ 1  2  9 10]
 [ 5  6  7  8]]

二、vatack()

#vertical stack (类似于水平合并）

import numpy as np

a = np.array([[1, 2, 3, 4], [5, 6, 7, 8]])
b = np.array([[1, 2, 9, 10], [5, 6, 7, 8]])

a
>>>
[[1 2 3 4]
 [5 6 7 8]]
b
>>>
[[ 1  2  9 10]
 [ 5  6  7  8]]

c = np.hatack(a, b)

c 
>>>
[[ 1  2  3  4  1  2  9 10]
 [ 5  6  7  8  5  6  7  8]]

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Numpy的数组合并函数vstack、hstack

一、hstack()
#vertical stack (类似于垂直合并)

import numpy as np a = np.array([[1, 2, 3, 4], [5, 6, 7, 8]]) b = np.array([[1, 2, 9, 10], [5, 6, 7, 8]]) a >>> [[1 2 3 4] [5 6 7 8]] b >>> [[ 1 2 9 10] [ 5 6 7 8]] c = np.vatack(a, b) c >>> [[ 1 2 3 4] [ 5 6 7 8] [ 1 2 9 10] [ 5 6 7 8]]

二、vatack()
#vertical stack (类似于水平合并）

import numpy as np a = np.array([[1, 2, 3, 4], [5, 6, 7, 8]]) b = np.array([[1, 2, 9, 10], [5, 6, 7, 8]]) a >>> [[1 2 3 4] [5 6 7 8]] b >>> [[ 1 2 9 10] [ 5 6 7 8]] c = np.hatack(a, b) c >>> [[ 1 2 3 4 1 2 9 10] [ 5 6 7 8 5 6 7 8]]

Python相关栏目本月热门文章

Numpy的数组合并函数vstack、hstack

一、hstack() #vertical stack (类似于垂直合并) import numpy as np a = np.array([[1, 2, 3, 4], [5, 6, 7, 8]]) b = np.array([[1, 2, 9, 10], [5, 6, 7, 8]]) a >>> [[1 2 3 4] [5 6 7 8]] b >>> [[ 1 2 9 10] [ 5 6 7 8]] c = np.vatack(a, b) c >>> [[ 1 2 3 4] [ 5 6 7 8] [ 1 2 9 10] [ 5 6 7 8]]

二、vatack() #vertical stack (类似于水平合并） import numpy as np a = np.array([[1, 2, 3, 4], [5, 6, 7, 8]]) b = np.array([[1, 2, 9, 10], [5, 6, 7, 8]]) a >>> [[1 2 3 4] [5 6 7 8]] b >>> [[ 1 2 9 10] [ 5 6 7 8]] c = np.hatack(a, b) c >>> [[ 1 2 3 4 1 2 9 10] [ 5 6 7 8 5 6 7 8]]

Python相关栏目本月热门文章

一、hstack()
#vertical stack (类似于垂直合并)

import numpy as np a = np.array([[1, 2, 3, 4], [5, 6, 7, 8]]) b = np.array([[1, 2, 9, 10], [5, 6, 7, 8]]) a >>> [[1 2 3 4] [5 6 7 8]] b >>> [[ 1 2 9 10] [ 5 6 7 8]] c = np.vatack(a, b) c >>> [[ 1 2 3 4] [ 5 6 7 8] [ 1 2 9 10] [ 5 6 7 8]]

二、vatack()
#vertical stack (类似于水平合并）

import numpy as np a = np.array([[1, 2, 3, 4], [5, 6, 7, 8]]) b = np.array([[1, 2, 9, 10], [5, 6, 7, 8]]) a >>> [[1 2 3 4] [5 6 7 8]] b >>> [[ 1 2 9 10] [ 5 6 7 8]] c = np.hatack(a, b) c >>> [[ 1 2 3 4 1 2 9 10] [ 5 6 7 8 5 6 7 8]]