NumPy Array Join

连接 NumPy 数组

连接意味着将两个或多个数组的内容放在单个数组中。

在 SQL 中，我们基于键来连接表，而在 NumPy 中，我们按轴连接数组。

A na rarraba kanta aiki da axis kuma concatenate() 函数的数组。如果未显式传递轴，则将其视为 0。

Tashi

连接两个数组：

import numpy as np
arr1 = np.array([1, 2, 3])
arr2 = np.array([4, 5, 6])
arr = np.concatenate((arr1, arr2))
print(arr)

Harci Tashi

Tashi

沿着行 (axis=1) 连接两个 2-D 数组：

import numpy as np
arr1 = np.array([[1, 2], [3, 4]])
arr2 = np.array([[5, 6], [7, 8]])
arr = np.concatenate((arr1, arr2), axis=1)
print(arr)

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A na iya rarraba kanta aiki da aiki na yanar

Yanar yana da iyaka da koyawa, na farko na dafin na farko shine yanar yana gudanar da kan axis na tsakiyar.

A na iya rarraba labarai hudu a kan axis na biyu, wanda zai haifar da cewa suke da iyaka, ya zuwa, yanar (stacking).

A na rarraba kanta aiki da axis kuma concatenate() Aiki na tushen kanta. Idan ba a tsara axis ba, za a gudanar da 0.

Tashi

import numpy as np
arr1 = np.array([1, 2, 3])
arr2 = np.array([4, 5, 6])
arr = np.stack((arr1, arr2), axis=1)
print(arr)

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Yanar kai tsawon girma

NumPy ana gudanar da kanta aiki:hstack() Yanar kai tsawon girma.

Tashi

import numpy as np
arr1 = np.array([1, 2, 3])
arr2 = np.array([4, 5, 6])
arr = np.hstack((arr1, arr2))
print(arr)

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Yanar kai tsawon kudade

NumPy ana gudanar da kanta aiki:vstack() Yanar kai tsawon kudade.

Tashi

import numpy as np
arr1 = np.array([1, 2, 3])
arr2 = np.array([4, 5, 6])
arr = np.vstack((arr1, arr2))
print(arr)

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Yanar kai tsawon rafin (rafin)

NumPy ana gudanar da kanta aiki:dstack() Yanar kai tsawon rafin, kuma rafin da yake da tsawon rafin.

Tashi

import numpy as np
arr1 = np.array([1, 2, 3])
arr2 = np.array([4, 5, 6])
arr = np.dstack((arr1, arr2))
print(arr)

Harci Tashi