numpy或pandas中reshape(-1)等用法
numpy或pandas中reshape(-1)等用法
狼啸风云
修改于 2022-09-02 22:34:25
修改于 2022-09-02 22:34:25
例：
z = np.array([[1, 2, 3, 4],
[5, 6, 7, 8],
[9, 10, 11, 12],
[13, 14, 15, 16]])
z.shape
(4, 4)1.z.reshape(-1)或z.reshape(1,-1)将数组横向平铺
z.reshape(-1)
array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16])2.z.reshape(-1, 1)将数组纵向平铺
z.reshape(-1,1)
array([[ 1],
[ 2],
[ 3],
[ 4],
[ 5],
[ 6],
[ 7],
[ 8],
[ 9],
[10],
[11],
[12],
[13],
[14],
[15],
[16]])3.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]])本文参与 腾讯云自媒体分享计划，分享自作者个人站点/博客。
原始发表：2020-04-06 ，如有侵权请联系 cloudcommunity@tencent.com 删除
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