def toSparse(self):
        """Convert to SparseMatrix"""
        if self.isTransposed:
            values = np.ravel(self.toArray(), order='F')
        else:
            values = self.values
        indices = np.nonzero(values)[0]
        colCounts = np.bincount(indices // self.numRows)
        colPtrs = np.cumsum(np.hstack(
            (0, colCounts, np.zeros(self.numCols - colCounts.size))))
        values = values[indices]
        rowIndices = indices % self.numRows

        return SparseMatrix(self.numRows, self.numCols, colPtrs, rowIndices, values)
def toSparse ( self ) : if self . isTransposed : values = np . ravel ( self . toArray ( ) , order = 'F' ) else : values = self . values indices = np . nonzero ( values ) [ 0 ] colCounts = np . bincount ( indices // self . numRows ) colPtrs = np . cumsum ( np . hstack ( ( 0 , colCounts , np . zeros ( self . numCols - colCounts . size ) ) ) ) values = values [ indices ] rowIndices = indices % self . numRows return SparseMatrix ( self . numRows , self . numCols , colPtrs , rowIndices , values )
Convert to SparseMatrix