| 123456789101112131415161718192021222324252627282930313233343536 |
- from __future__ import division, print_function, absolute_import
- import numpy as np
- from numpy.testing import assert_array_almost_equal, assert_
- from scipy.sparse import csr_matrix, csc_matrix
- def test_csc_getrow():
- N = 10
- np.random.seed(0)
- X = np.random.random((N, N))
- X[X > 0.7] = 0
- Xcsc = csc_matrix(X)
- for i in range(N):
- arr_row = X[i:i + 1, :]
- csc_row = Xcsc.getrow(i)
- assert_array_almost_equal(arr_row, csc_row.toarray())
- assert_(type(csc_row) is csr_matrix)
- def test_csc_getcol():
- N = 10
- np.random.seed(0)
- X = np.random.random((N, N))
- X[X > 0.7] = 0
- Xcsc = csc_matrix(X)
- for i in range(N):
- arr_col = X[:, i:i + 1]
- csc_col = Xcsc.getcol(i)
- assert_array_almost_equal(arr_col, csc_col.toarray())
- assert_(type(csc_col) is csc_matrix)
|
