本文整理汇总了Python中scipy.cluster.hierarchy.is_monotonic函数的典型用法代码示例。如果您正苦于以下问题：Python is_monotonic函数的具体用法？Python is_monotonic怎么用？Python is_monotonic使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了is_monotonic函数的14个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_is_monotonic_iris_linkage
def test_is_monotonic_iris_linkage(self):
# Tests is_monotonic(Z) on clustering generated by single linkage on
# Iris data set. Expecting True.
X = eo['iris']
Y = pdist(X)
Z = linkage(X, 'single')
self.assertTrue(is_monotonic(Z) == True)示例2: test_is_monotonic_Q_linkage
def test_is_monotonic_Q_linkage(self):
# Tests is_monotonic(Z) on clustering generated by single linkage on
# Q data set. Expecting True.
X = hierarchy_test_data.Q_X
Z = linkage(X, 'single')
self.assertTrue(is_monotonic(Z) == True)示例3: test_is_monotonic_tdist_linkage2
def test_is_monotonic_tdist_linkage2(self):
# Tests is_monotonic(Z) on clustering generated by single linkage on
# tdist data set. Perturbing. Expecting False.
Z = linkage(hierarchy_test_data.ytdist, 'single')
Z[2,2] = 0.0
self.assertTrue(is_monotonic(Z) == False)示例4: test_is_monotonic_tdist_linkage1
def test_is_monotonic_tdist_linkage1(self):
# Tests is_monotonic(Z) on clustering generated by single linkage on
# tdist data set. Expecting True.
Z = linkage(hierarchy_test_data.ytdist, 'single')
self.assertTrue(is_monotonic(Z) == True)示例5: test_is_monotonic_3x4_F3
def test_is_monotonic_3x4_F3(self):
# Tests is_monotonic(Z) on 3x4 linkage (case 3). Expecting False
Z = np.asarray([[0, 1, 0.3, 2],
[2, 3, 0.4, 2],
[4, 5, 0.2, 4]], dtype=np.double)
self.assertTrue(is_monotonic(Z) == False)示例6: test_is_monotonic_3x4_T
def test_is_monotonic_3x4_T(self):
# Tests is_monotonic(Z) on 3x4 linkage. Expecting True.
Z = np.asarray([[0, 1, 0.3, 2],
[2, 3, 0.4, 2],
[4, 5, 0.6, 4]], dtype=np.double)
self.assertTrue(is_monotonic(Z) == True)示例7: test_is_monotonic_2x4_F
def test_is_monotonic_2x4_F(self):
# Tests is_monotonic(Z) on 2x4 linkage. Expecting False.
Z = np.asarray([[0, 1, 0.4, 2],
[2, 3, 0.3, 3]], dtype=np.double)
self.assertTrue(is_monotonic(Z) == False)示例8: test_is_monotonic_1x4
def test_is_monotonic_1x4(self):
# Tests is_monotonic(Z) on 1x4 linkage. Expecting True.
Z = np.asarray([[0, 1, 0.3, 2]], dtype=np.double)
self.assertTrue(is_monotonic(Z) == True)示例9: test_is_monotonic_3x4_F2
def test_is_monotonic_3x4_F2(self):
# Tests is_monotonic(Z) on 3x4 linkage (case 2). Expecting False.
Z = np.asarray([[0, 1, 0.8, 2],
[2, 3, 0.4, 2],
[4, 5, 0.6, 4]], dtype=np.double)
assert_equal(is_monotonic(Z), False)示例10: test_is_monotonic_2x4_T
def test_is_monotonic_2x4_T(self):
# Tests is_monotonic(Z) on 2x4 linkage. Expecting True.
Z = np.asarray([[0, 1, 0.3, 2],
[2, 3, 0.4, 3]], dtype=np.double)
assert_equal(is_monotonic(Z), True)示例11: Monotone
def Monotone(X):
return clust.is_monotonic(X)示例12: test_is_monotonic_Q_linkage
def test_is_monotonic_Q_linkage(self):
# Tests is_monotonic(Z) on clustering generated by single linkage on
# Q data set. Expecting True.
X = hierarchy_test_data.Q_X
Z = linkage(X, "single")
assert_equal(is_monotonic(Z), True)示例13: test_is_monotonic_tdist_linkage2
def test_is_monotonic_tdist_linkage2(self):
# Tests is_monotonic(Z) on clustering generated by single linkage on
# tdist data set. Perturbing. Expecting False.
Z = linkage(hierarchy_test_data.ytdist, "single")
Z[2, 2] = 0.0
assert_equal(is_monotonic(Z), False)示例14: test_is_monotonic_tdist_linkage1
def test_is_monotonic_tdist_linkage1(self):
# Tests is_monotonic(Z) on clustering generated by single linkage on
# tdist data set. Expecting True.
Z = linkage(hierarchy_test_data.ytdist, "single")
assert_equal(is_monotonic(Z), True)