python实现多维数组转向量-创新互联
我就废话不多说了,如下所示:
创新互联主营桃江网站建设的网络公司,主营网站建设方案,成都App制作,桃江h5微信平台小程序开发搭建,桃江网站营销推广欢迎桃江等地区企业咨询>>>from compiler.ast import flatten >>>X matrix([[ 1, 17, 13, 221, 289, 169], [ 1, 17, 14, 238, 289, 196], [ 1, 17, 15, 255, 289, 225], [ 1, 18, 13, 234, 324, 169], [ 1, 18, 14, 252, 324, 196], [ 1, 18, 15, 270, 324, 225], [ 1, 19, 13, 247, 361, 169], [ 1, 19, 14, 266, 361, 196], [ 1, 19, 15, 285, 361, 225]]) >>>x = X.tolist() >>>x [[ 1, 17, 13, 221, 289, 169], [ 1, 17, 14, 238, 289, 196], [ 1, 17, 15, 255, 289, 225], [ 1, 18, 13, 234, 324, 169], [ 1, 18, 14, 252, 324, 196], [ 1, 18, 15, 270, 324, 225], [ 1, 19, 13, 247, 361, 169], [ 1, 19, 14, 266, 361, 196], [ 1, 19, 15, 285, 361, 225]] >>>xx = flatten(x) (或者x.ravel() ) >>>xx [1, 17, 13, 221, 289, 169, 1, 17, 14, 238, 289, 196, 1, 17, 15, 255, 289, 225, 1, 18, 13, 234, 324, 169, 1, 18, 14, 252, 324, 196, 1, 18, 15, 270, 324, 225, 1, 19, 13, 247, 361, 169, 1, 19, 14, 266, 361, 196, 1, 19, 15, 285, 361, 225]
网页标题:python实现多维数组转向量-创新互联
网站地址:http://scyanting.com/article/cohipj.html