(self)
| 40 | assert_allclose(e, np.array([1., 2.])) |
| 41 | |
| 42 | def test_density(self): |
| 43 | # Check that the integral of the density equals 1. |
| 44 | n = 100 |
| 45 | v = np.random.rand(n) |
| 46 | a, b = histogram(v, density=True) |
| 47 | area = np.sum(a * np.diff(b)) |
| 48 | assert_almost_equal(area, 1) |
| 49 | |
| 50 | # Check with non-constant bin widths |
| 51 | v = np.arange(10) |
| 52 | bins = [0, 1, 3, 6, 10] |
| 53 | a, b = histogram(v, bins, density=True) |
| 54 | assert_array_equal(a, .1) |
| 55 | assert_equal(np.sum(a * np.diff(b)), 1) |
| 56 | |
| 57 | # Test that passing False works too |
| 58 | a, b = histogram(v, bins, density=False) |
| 59 | assert_array_equal(a, [1, 2, 3, 4]) |
| 60 | |
| 61 | # Variable bin widths are especially useful to deal with |
| 62 | # infinities. |
| 63 | v = np.arange(10) |
| 64 | bins = [0, 1, 3, 6, np.inf] |
| 65 | a, b = histogram(v, bins, density=True) |
| 66 | assert_array_equal(a, [.1, .1, .1, 0.]) |
| 67 | |
| 68 | # Taken from a bug report from N. Becker on the numpy-discussion |
| 69 | # mailing list Aug. 6, 2010. |
| 70 | counts, dmy = np.histogram( |
| 71 | [1, 2, 3, 4], [0.5, 1.5, np.inf], density=True) |
| 72 | assert_equal(counts, [.25, 0]) |
| 73 | |
| 74 | def test_outliers(self): |
| 75 | # Check that outliers are not tallied |
nothing calls this directly
no test coverage detected