I have a sparse matrix in csr format (which makes sense for my purposes, as it has lots of rows but relatively few columns, ~8million x 90).
我有一个csr格式的稀疏矩阵（这对我的目的来说很有意义，因为它有很多行，但列数相对较少，约为8百万x 90）。
My question is, what's the most efficient way to access a particular value from the matrix given a row,column tuple? I can quickly get a row using matrix.getrow(row), but this also returns 1-row sparse matrix, and accessing the value at a particular column seems clunky. The only reliable method I've found to get a particular matrix value, given the row and column, is:
我的问题是，在给定行，列元组的情况下，从矩阵访问特定值的最有效方法是什么？我可以使用matrix.getrow（row）快速获取一行，但这也会返回1行稀疏矩阵，并且访问特定列的值似乎很笨拙。在给定行和列的情况下，我发现获得特定矩阵值的唯一可靠方法是：
matrix.getrow(row).todense().A1[column]
But this seems overly verbose and complicated. Is there a simpler/faster method I'm missing?
但这似乎过于冗长和复杂。我缺少一个更简单/更快的方法吗？
1 个解决方案
#1
12
You can get the value as usual from matrix[row,column].
您可以像往常一样从矩阵[row，column]中获取值。
#1
12
You can get the value as usual from matrix[row,column].
您可以像往常一样从矩阵[row，column]中获取值。