numpy.expand_dims numpy.broadcast_to numpy.squeeze 此函数通过在指定位置插入新轴来扩展阵列。该功能需要两个参数。 numpy.expand_dims(arr, axis) 这里 序号 参数和描述 1 arr 输入数组 2 axis 插入新轴的位置 例 import numpy as np x = np.array(([1,2],[3,4])) print 'Array x:' print x print '\n' y = np.expand_dims(x, axis = 0) print 'Array y:' print y print '\n' print 'The shape of X and Y array:' print x.shape, y.shape print '\n' # insert axis at position 1 y = np.expand_dims(x, axis = 1) print 'Array Y after inserting axis at position 1:' print y print '\n' print 'x.ndim and y.ndim:' print x.ndim,y.ndim print '\n' print 'x.shape and y.shape:' print x.shape, y.shape 上述方案的输出如下 Array x: [[1 2] [3 4]] Array y: [[[1 2] [3 4]]] The shape of X and Y array: (2, 2) (1, 2, 2) Array Y after inserting axis at position 1: [[[1 2]] [[3 4]]] x.ndim and y.ndim: 2 3 x.shape and y.shape: (2, 2) (2, 1, 2) numpy.broadcast_to numpy.squeeze