本文整理汇总了Python中skbio.TabularMSA.keys方法的典型用法代码示例。如果您正苦于以下问题：Python TabularMSA.keys方法的具体用法？Python TabularMSA.keys怎么用？Python TabularMSA.keys使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类skbio.TabularMSA的用法示例。
在下文中一共展示了TabularMSA.keys方法的6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_keys_setter_non_empty
# 需要导入模块: from skbio import TabularMSA [as 别名]
# 或者: from skbio.TabularMSA import keys [as 别名]
def test_keys_setter_non_empty(self):
msa = TabularMSA([DNA('AC'), DNA('AG'), DNA('AT')])
self.assertFalse(msa.has_keys())
msa.keys = range(3)
npt.assert_array_equal(msa.keys, np.array([0, 1, 2]))
msa.keys = range(3, 6)
npt.assert_array_equal(msa.keys, np.array([3, 4, 5]))示例2: test_keys_setter_non_hashable_keys
# 需要导入模块: from skbio import TabularMSA [as 别名]
# 或者: from skbio.TabularMSA import keys [as 别名]
def test_keys_setter_non_hashable_keys(self):
msa = TabularMSA([DNA('ACGT'), DNA('TGCA')], key=str)
keys = np.array(['ACGT', 'TGCA'])
npt.assert_array_equal(msa.keys, keys)
with self.assertRaises(TypeError):
msa.keys = [[42], [42]]
# original state is maintained
npt.assert_array_equal(msa.keys, keys)示例3: test_keys_setter_non_unique_keys
# 需要导入模块: from skbio import TabularMSA [as 别名]
# 或者: from skbio.TabularMSA import keys [as 别名]
def test_keys_setter_non_unique_keys(self):
msa = TabularMSA([DNA('ACGT'), DNA('TGCA')], key=str)
keys = np.array(['ACGT', 'TGCA'])
npt.assert_array_equal(msa.keys, keys)
with six.assertRaisesRegex(self, UniqueError, 'Duplicate keys:.*42'):
msa.keys = [42, 42]
# original state is maintained
npt.assert_array_equal(msa.keys, keys)示例4: test_keys_setter_length_mismatch
# 需要导入模块: from skbio import TabularMSA [as 别名]
# 或者: from skbio.TabularMSA import keys [as 别名]
def test_keys_setter_length_mismatch(self):
msa = TabularMSA([DNA('ACGT'), DNA('TGCA')], key=str)
keys = np.array(['ACGT', 'TGCA'])
npt.assert_array_equal(msa.keys, keys)
with six.assertRaisesRegex(self, ValueError,
'Number.*keys.*number.*sequences: 3 != 2'):
msa.keys = iter(['ab', 'cd', 'ef'])
# original state is maintained
npt.assert_array_equal(msa.keys, keys)示例5: test_keys_update_subset_of_keys
# 需要导入模块: from skbio import TabularMSA [as 别名]
# 或者: from skbio.TabularMSA import keys [as 别名]
def test_keys_update_subset_of_keys(self):
# keys can be copied, modified, then re-set
msa = TabularMSA([DNA('AC'), DNA('AG'), DNA('AT')], key=str)
npt.assert_array_equal(msa.keys, np.array(['AC', 'AG', 'AT']))
new_keys = msa.keys.copy()
new_keys[1] = 42
msa.keys = new_keys
npt.assert_array_equal(msa.keys,
np.array(['AC', 42, 'AT'], dtype=object))
self.assertFalse(msa.keys.flags.writeable)
self.assertTrue(new_keys.flags.writeable)
new_keys[1] = 'GG'
npt.assert_array_equal(msa.keys,
np.array(['AC', 42, 'AT'], dtype=object))示例6: test_keys_setter_empty
# 需要导入模块: from skbio import TabularMSA [as 别名]
# 或者: from skbio.TabularMSA import keys [as 别名]
def test_keys_setter_empty(self):
msa = TabularMSA([])
self.assertFalse(msa.has_keys())
msa.keys = iter([])
npt.assert_array_equal(msa.keys, np.array([]))