重塑陣列串列中的每個陣列python

我有一個陣列串列，我想重塑串列中的每個陣列然后堆疊。

下面的示例

C = np.array([[-127, -108, -290],
       [-123,  -83, -333],
       [-126,  -69, -354],
       [-146, -211, -241],
       [-151, -209, -253],
       [-157, -200, -254]])



D = np.array([[-129, -146, -231],
       [-127, -148, -238],
       [-132, -157, -231],
       [ -93, -355, -112],
       [ -95, -325, -137],
       [ -99, -282, -163]])



E = np.array(([[-141, -133, -200],
       [-132, -123, -202],
       [-119, -117, -204],
       [-107, -210, -228],
       [-101, -194, -243],
       [-105, -175, -244]]))


ArrayList = (C,D,E)

要重塑單個陣列，我執行以下操作

newArray = ArrayList[0].reshape(1,-1)

并產生所需的結果

array([[-127, -108, -290, -123,  -83, -333, -126,  -69, -354, -146, -211,
        -241, -151, -209, -253, -157, -200, -254]])

我嘗試撰寫一個 for 回圈來遍歷每個專案

newArray = []
for i in ArrayList:
    i.reshape(1,-1)
    newArray.append(i)
    

但我得到了與我開始時相同的產品。所需的輸出如下所示

(array([[-127, -108, -290, -123,  -83, -333, -126,  -69, -354, -146, -211,
         -241, -151, -209, -253, -157, -200, -254]]),
 array([[-129, -146, -231, -127, -148, -238, -132, -157, -231,  -93, -355,
         -112,  -95, -325, -137,  -99, -282, -163]]),
 array([[-141, -133, -200, -132, -123, -202, -119, -117, -204, -107, -210,
         -228, -101, -194, -243, -105, -175, -244]]))

任何幫助表示贊賞。

uj5u.com熱心網友回復：

我認為你只需要這樣做：

newArray = []
for i in ArrayList:
    j = i.reshape(1,-1)
    newArray.append(j)

print(newArray)

輸出：

[array([[-127, -108, -290, -123,  -83, -333, -126,  -69, -354, -146, -211,
        -241, -151, -209, -253, -157, -200, -254]]), 
array([[-129, -146, -231, -127, -148, -238, -132, -157, -231,  -93, -355,
        -112,  -95, -325, -137,  -99, -282, -163]]), 
array([[-141, -133, -200, -132, -123, -202, -119, -117, -204, -107, -210,
        -228, -101, -194, -243, -105, -175, -244]])]

uj5u.com熱心網友回復：

使用串列推導怎么樣？

newArray = [i.reshape(1,-1) for i in ArrayList]

輸出：

[array([[-127, -108, -290, -123,  -83, -333, -126,  -69, -354, -146, -211,
         -241, -151, -209, -253, -157, -200, -254]]),
 array([[-129, -146, -231, -127, -148, -238, -132, -157, -231,  -93, -355,
         -112,  -95, -325, -137,  -99, -282, -163]]),
 array([[-141, -133, -200, -132, -123, -202, -119, -117, -204, -107, -210,
         -228, -101, -194, -243, -105, -175, -244]])]

uj5u.com熱心網友回復：

reshape()不保證它將在檔案中呼叫的“視圖”回傳到同一個陣列。請參閱檔案。它可能是原始陣列的副本，因此您需要使用回傳值并將回傳值附加到您的陣列中。這應該可以解決您的問題。

import numpy as np

C = np.array([[-127, -108, -290],
       [-123,  -83, -333],
       [-126,  -69, -354],
       [-146, -211, -241],
       [-151, -209, -253],
       [-157, -200, -254]])



D = np.array([[-129, -146, -231],
       [-127, -148, -238],
       [-132, -157, -231],
       [ -93, -355, -112],
       [ -95, -325, -137],
       [ -99, -282, -163]])



E = np.array(([[-141, -133, -200],
       [-132, -123, -202],
       [-119, -117, -204],
       [-107, -210, -228],
       [-101, -194, -243],
       [-105, -175, -244]]))


ArrayList = (C,D,E)

newArray = []
for i in ArrayList:
    newArray.append(i.reshape(1,-1))

print(newArray)

預期產出

[array([[-127, -108, -290, -123,  -83, -333, -126,  -69, -354, -146, -211,
        -241, -151, -209, -253, -157, -200, -254]]), array([[-129, -146, -231, -127, -148, -238, -132, -157, -231,  -93, -355,
        -112,  -95, -325, -137,  -99, -282, -163]]), array([[-141, -133, -200, -132, -123, -202, -119, -117, -204, -107, -210,
        -228, -101, -194, -243, -105, -175, -244]])]

標籤：Python 数组 麻木的

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