Python euclidean_pdist Examples

Example #1

File: test_cython_euclidean_pdist.py Project: Midnighter/nadist

 def test_compare_pure(self, complete, partial_mask):
     assert np.allclose(euclidean_pdist(complete, partial_mask),
         pure_euclidean_pdist(complete, partial_mask))

Example #2

File: test_cython_euclidean_pdist.py Project: Midnighter/nadist

 def test_missing(self, miss_all):
     result = euclidean_pdist(miss_all, np.isnan(miss_all))
     assert result.shape == (pytest.helpers.number_pairs(miss_all.shape[0]),)
     assert np.isnan(result).all()

Example #3

File: test_cython_euclidean_pdist.py Project: Midnighter/nadist

 def test_compare_scipy(self, complete):
     assert np.allclose(euclidean_pdist(complete, np.isnan(complete)),
         pdist(complete, metric="euclidean"))

Example #4

File: test_cython_euclidean_pdist.py Project: Midnighter/nadist

 def test_wrong_shape(self, dimension):
     with pytest.raises(ValueError):
         euclidean_pdist(dimension, np.isnan(dimension))

Example #5

File: test_cython_euclidean_pdist.py Project: Midnighter/nadist

 def test_mask_shape(self, complete):
     with pytest.raises(ValueError):
         euclidean_pdist(complete, np.isnan(complete[:complete.shape[0] - 10,
             :complete.shape[1] - 10]))

Example #6

 def test_compare_pure(self, complete, partial_mask):
     assert np.allclose(euclidean_pdist(complete, partial_mask),
                        pure_euclidean_pdist(complete, partial_mask))

Example #7

 def test_compare_scipy(self, complete):
     assert np.allclose(euclidean_pdist(complete, np.isnan(complete)),
                        pdist(complete, metric="euclidean"))

Example #8

 def test_missing(self, miss_all):
     result = euclidean_pdist(miss_all, np.isnan(miss_all))
     assert result.shape == (pytest.helpers.number_pairs(
         miss_all.shape[0]), )
     assert np.isnan(result).all()

Example #9

 def test_mask_shape(self, complete):
     with pytest.raises(ValueError):
         euclidean_pdist(
             complete,
             np.isnan(complete[:complete.shape[0] - 10, :complete.shape[1] -
                               10]))

Example #10

 def test_wrong_shape(self, dimension):
     with pytest.raises(ValueError):
         euclidean_pdist(dimension, np.isnan(dimension))