Spaces:
Sleeping
Sleeping
| import numpy as np | |
| from numpy.testing import assert_, assert_equal, assert_array_equal | |
| class TestView: | |
| def test_type(self): | |
| x = np.array([1, 2, 3]) | |
| assert_(isinstance(x.view(np.matrix), np.matrix)) | |
| def test_keywords(self): | |
| x = np.array([(1, 2)], dtype=[('a', np.int8), ('b', np.int8)]) | |
| # We must be specific about the endianness here: | |
| y = x.view(dtype='<i2', type=np.matrix) | |
| assert_array_equal(y, [[513]]) | |
| assert_(isinstance(y, np.matrix)) | |
| assert_equal(y.dtype, np.dtype('<i2')) | |