连接作为列表元素的numpy数组 [英] concatenate numpy arrays which are elements of a list

问题描述

我有一个包含numpy数组的列表，例如L = [a，b，c]，其中a，b和c是numpy数组，其大小在T中为N_a，在T中为N_b，在T中为N_c.
我想逐行连接a，b和c，并得到一个形状为(N_a + N_b + N_c，T)的numpy数组.显然，一种解决方案是运行for循环并使用numpy.concatenate，但是有什么pythonic方法可以做到这一点吗?

I have a list containing numpy arrays something like L=[a,b,c] where a, b and c are numpy arrays with sizes N_a in T, N_b in T and N_c in T.
I want to row-wise concatenate a, b and c and get a numpy array with shape (N_a+N_b+N_c, T). Clearly one solution is run a for loop and use numpy.concatenate, but is there any pythonic way to do this?

谢谢

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