将 numpy 数组转换为 Matrix rpy2, Kmeans [英] convert numpy array to Matrix rpy2, Kmeans

问题描述

我有一个 numpy 二维数组 self.sub我想在 rpy2 kmeans 中使用它.k = robjects.r.kmeans(self.sub,2,20)我总是收到以下错误:valueError: 目前对该类型无能为力！我能做什么?

I have a numpy 2D array self.sub and i want to use it in rpy2 kmeans. k = robjects.r.kmeans(self.sub,2,20) i always get the following error: valueError: nothing can be done for the type at the moment! what can i do?

推荐答案

来自 rpy2 docs，R 矩阵只是带有暗属性集的向量.所以对于一个 numpy 二维数组 x

From the rpy2 docs, R matrices are just vectors with their dim attribute set. So for a numpy two-dimensional array x

import rpy2.robjects as robj

nr, nc = x.shape
xvec = robj.FloatVector(x.transpose().reshape((x.size))
xr = robj.r.matrix(xvec, nrow=nr, ncol=nc)

您必须转置 numpy 数组，因为 R 按列填充矩阵.

You have to transpose the numpy array because R fills matrices by columns.

实际上，您可以在 R 矩阵函数中设置 byrow=True，然后您就不需要转置了.

Actually, you could just set byrow=True in the R matrix function, and then you wouldn't need to transpose.

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