在python中将平面列表读入多维数组/矩阵 [英] Read flat list into multidimensional array/matrix in python

问题描述

我有一个数字列表，它们表示另一个程序生成的矩阵或数组的展平输出，我知道原始数组的尺寸，并想将这些数字读回到列表列表或NumPy矩阵中.原始数组中可能有2个以上的维度.

I have a list of numbers that represent the flattened output of a matrix or array produced by another program, I know the dimensions of the original array and want to read the numbers back into either a list of lists or a NumPy matrix. There could be more than 2 dimensions in the original array.

例如

data = [0, 2, 7, 6, 3, 1, 4, 5]
shape = (2,4)
print some_func(data, shape)

会产生:

[[0,2,7,6]， [3,1,4,5]]

[[0,2,7,6], [3,1,4,5]]

提前欢呼

推荐答案

使用如果要避免将其复制到内存中，还可以直接将其分配给data的shape属性:

You can also assign directly to the shape attribute of data if you want to avoid copying it in memory:

>>> data.shape = shape

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