There are 3 arguments in the reshape, so the result will be a 3-dimensional array. The 2nd dimension will have size 1, the 3rd dimension ... ... <看更多>

import numpy as np >>> arr_1d = np.arange(6) >>> arr_1d array([0, 1, 2, 3, 4, 5]) >>> arr_1d.shape (6,). We can reshape this array to two dimensions using ... ... <看更多>

numpy /numpy/core/fromnumeric.py Lines 200 to 299 in 3e85f92 @array_function_dispatch(_reshape_dispatcher) def reshape(a, newshape, ... ... <看更多>