Python: 如何用numpy.ndarray的reshape 將3D array轉為2D array,再轉為pandas.DataFrame? arr.reshape(arr.shape[0]*arr.shape[1], -1)

import numpy as np
import pandas as pd

arr = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
reshaped_arr = arr.reshape(arr.shape[0]*arr.shape[1], -1)
df = pd.DataFrame(reshaped_arr, columns=[‘column1’, ‘column2’])

reshaped_arr = arr.reshape(arr.shape[0]*arr.shape[1], -1)

arr.reshape(arr.shape[0]*arr.shape[1], -1) 

將3D的陣列轉換為2D的，其中第一維和第二維不變，

只是把第三維拉平並放到第二維上，

最後可以透過 pd.DataFrame() 轉換成DataFrame

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