问题描述
我有许多形状为(Ni，227,227,3)的numpy数组，其中每个数组的Ni都不同.
I have many numpy arrays of shape (Ni,227,227,3), where Ni of each array is different.
我想加入它们并制作形状为(N1 + N2 + .. + Nk，227,227,3)的阵列，其中k是阵列数.
I want to join them and make array of shape (N1+N2+..+Nk,227,227,3) where k is the number of arrays.
我尝试了numpy.concatenate和numpy.append，但它们在轴0上要求相同的尺寸.我也对数组中的轴1和轴2感到困惑.
I tried numpy.concatenate and numpy.append but they ask for same dimension in axis 0. I am also confused on what is axis 1 and axis 2 in my arrays.
推荐答案
因此，这里的主要问题是形状为(0，)而不是(0,227,227,3)的数组之一.
So, the main problem here was with the one of the arrays of shape (0,) instead of (0,227,227,3).
np.concatenate(alist，axis = 0)有效.
np.concatenate(alist,axis=0) works.
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