Randomly shuffle a sparse matrix in python
Ok, found it. The sparse format looks a bit confusing in the print-out.
index = np.arange(np.shape(matrix)[0]) print index np.random.shuffle(index) return matrix[index, :]
In case anyone is looking to randomly get a subsample of rows from a sparse matrix, this related post may also be useful: How should I go about subsampling from a scipy.sparse.csr.csr_matrix and a list
A better way can be shuffling the index of CSR Matrix and fetching the rows of matrix as such:
from random import shuffleindices = np.arange(matrix.shape[0]) #gets the number of rows shuffle(indices)shuffled_matrix = matrix[list(indices)]