numpy.reshape(a, newshape, order='C')[source],参数`newshape`是啥意思?
大意是说,数组新的shape属性应该要与原来的配套,如果等于-1的话,那么Numpy会根据剩下的维度计算出数组的另外一个shape属性值。
z = np.array([[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]])z.reshape(-1)
z.reshape(-1) array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16])z.reshape(-1,1)
array([[ 1], [ 2], [ 3], [ 4], [ 5], [ 6], [ 7], [ 8], [ 9], [10], [11], [12], [13], [14], [15], [16]])
z.reshape(-1, 2)
newshape等于-1,列数等于2,行数未知,reshape后的shape等于(8, 2)
z.reshape(-1, 2) array([[ 1, 2], [ 3, 4], [ 5, 6], [ 7, 8], [ 9, 10], [11, 12], [13, 14], [15, 16]]) 作者:李彬
链接:https://www.zhihu.com/question/52684594/answer/157491724
来源:知乎
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文章来源: Python中reshape函数参数-1的意思