本文整理汇总了Python中pandas.util.testing.makeTimedeltaIndex方法的典型用法代码示例。如果您正苦于以下问题：Python testing.makeTimedeltaIndex方法的具体用法？Python testing.makeTimedeltaIndex怎么用？Python testing.makeTimedeltaIndex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pandas.util.testing的用法示例。
在下文中一共展示了testing.makeTimedeltaIndex方法的10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: setup_method
# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import makeTimedeltaIndex [as 别名]
def setup_method(self, method):
self.indices = dict(unicodeIndex=tm.makeUnicodeIndex(100),
strIndex=tm.makeStringIndex(100),
dateIndex=tm.makeDateIndex(100),
periodIndex=tm.makePeriodIndex(100),
tdIndex=tm.makeTimedeltaIndex(100),
intIndex=tm.makeIntIndex(100),
uintIndex=tm.makeUIntIndex(100),
rangeIndex=tm.makeRangeIndex(100),
floatIndex=tm.makeFloatIndex(100),
boolIndex=Index([True, False]),
catIndex=tm.makeCategoricalIndex(100),
empty=Index([]),
tuples=MultiIndex.from_tuples(lzip(
['foo', 'bar', 'baz'], [1, 2, 3])),
repeats=Index([0, 0, 1, 1, 2, 2]))
self.setup_indices() 示例2: setup_method
# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import makeTimedeltaIndex [as 别名]
def setup_method(self, method):
super(TestIndex, self).setup_method(method)
self.d = {
'string': tm.makeStringIndex(100),
'date': tm.makeDateIndex(100),
'int': tm.makeIntIndex(100),
'rng': tm.makeRangeIndex(100),
'float': tm.makeFloatIndex(100),
'empty': Index([]),
'tuple': Index(zip(['foo', 'bar', 'baz'], [1, 2, 3])),
'period': Index(period_range('2012-1-1', freq='M', periods=3)),
'date2': Index(date_range('2013-01-1', periods=10)),
'bdate': Index(bdate_range('2013-01-02', periods=10)),
'cat': tm.makeCategoricalIndex(100),
'interval': tm.makeIntervalIndex(100),
'timedelta': tm.makeTimedeltaIndex(100, 'H')
}
self.mi = {
'reg': MultiIndex.from_tuples([('bar', 'one'), ('baz', 'two'),
('foo', 'two'),
('qux', 'one'), ('qux', 'two')],
names=['first', 'second']),
} 示例3: setup_method
# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import makeTimedeltaIndex [as 别名]
def setup_method(self, method):
self.indices = dict(unicodeIndex=tm.makeUnicodeIndex(100),
strIndex=tm.makeStringIndex(100),
dateIndex=tm.makeDateIndex(100),
periodIndex=tm.makePeriodIndex(100),
tdIndex=tm.makeTimedeltaIndex(100),
intIndex=tm.makeIntIndex(100),
uintIndex=tm.makeUIntIndex(100),
rangeIndex=tm.makeIntIndex(100),
floatIndex=tm.makeFloatIndex(100),
boolIndex=Index([True, False]),
catIndex=tm.makeCategoricalIndex(100),
empty=Index([]),
tuples=MultiIndex.from_tuples(lzip(
['foo', 'bar', 'baz'], [1, 2, 3])),
repeats=Index([0, 0, 1, 1, 2, 2]))
self.setup_indices() 示例4: setup_method
# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import makeTimedeltaIndex [as 别名]
def setup_method(self, method):
self.indices = dict(index=tm.makeTimedeltaIndex(10))
self.setup_indices() 示例5: test_isin
# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import makeTimedeltaIndex [as 别名]
def test_isin(self):
index = tm.makeTimedeltaIndex(4)
result = index.isin(index)
assert result.all()
result = index.isin(list(index))
assert result.all()
assert_almost_equal(index.isin([index[2], 5]),
np.array([False, False, True, False])) 示例6: test_scalar_error
# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import makeTimedeltaIndex [as 别名]
def test_scalar_error(self):
# GH 4892
# float_indexers should raise exceptions
# on appropriate Index types & accessors
# this duplicates the code below
# but is spefically testing for the error
# message
for index in [tm.makeStringIndex, tm.makeUnicodeIndex,
tm.makeCategoricalIndex,
tm.makeDateIndex, tm.makeTimedeltaIndex,
tm.makePeriodIndex, tm.makeIntIndex,
tm.makeRangeIndex]:
i = index(5)
s = Series(np.arange(len(i)), index=i)
msg = 'Cannot index by location index'
with pytest.raises(TypeError, match=msg):
s.iloc[3.0]
def f():
s.iloc[3.0] = 0
pytest.raises(TypeError, f) 示例7: test_scalar_error
# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import makeTimedeltaIndex [as 别名]
def test_scalar_error(self):
# GH 4892
# float_indexers should raise exceptions
# on appropriate Index types & accessors
# this duplicates the code below
# but is spefically testing for the error
# message
for index in [tm.makeStringIndex, tm.makeUnicodeIndex,
tm.makeCategoricalIndex,
tm.makeDateIndex, tm.makeTimedeltaIndex,
tm.makePeriodIndex, tm.makeIntIndex,
tm.makeRangeIndex]:
i = index(5)
s = Series(np.arange(len(i)), index=i)
def f():
s.iloc[3.0]
tm.assert_raises_regex(TypeError,
'cannot do positional indexing',
f)
def f():
s.iloc[3.0] = 0
pytest.raises(TypeError, f) 示例8: test_map_tseries_indices_return_index
# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import makeTimedeltaIndex [as 别名]
def test_map_tseries_indices_return_index(self):
date_index = tm.makeDateIndex(10)
exp = Index([1] * 10)
tm.assert_index_equal(exp, date_index.map(lambda x: 1))
period_index = tm.makePeriodIndex(10)
tm.assert_index_equal(exp, period_index.map(lambda x: 1))
tdelta_index = tm.makeTimedeltaIndex(10)
tm.assert_index_equal(exp, tdelta_index.map(lambda x: 1))
date_index = tm.makeDateIndex(24, freq='h', name='hourly')
exp = Index(range(24), name='hourly')
tm.assert_index_equal(exp, date_index.map(lambda x: x.hour)) 示例9: test_hash_pandas_object
# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import makeTimedeltaIndex [as 别名]
def test_hash_pandas_object(self):
for obj in [Series([1, 2, 3]),
Series([1.0, 1.5, 3.2]),
Series([1.0, 1.5, np.nan]),
Series([1.0, 1.5, 3.2], index=[1.5, 1.1, 3.3]),
Series(['a', 'b', 'c']),
Series(['a', np.nan, 'c']),
Series(['a', None, 'c']),
Series([True, False, True]),
Series(),
Index([1, 2, 3]),
Index([True, False, True]),
DataFrame({'x': ['a', 'b', 'c'], 'y': [1, 2, 3]}),
DataFrame(),
tm.makeMissingDataframe(),
tm.makeMixedDataFrame(),
tm.makeTimeDataFrame(),
tm.makeTimeSeries(),
tm.makeTimedeltaIndex(),
tm.makePeriodIndex(),
Series(tm.makePeriodIndex()),
Series(pd.date_range('20130101',
periods=3, tz='US/Eastern')),
MultiIndex.from_product(
[range(5),
['foo', 'bar', 'baz'],
pd.date_range('20130101', periods=2)]),
MultiIndex.from_product(
[pd.CategoricalIndex(list('aabc')),
range(3)])]:
self.check_equal(obj)
self.check_not_equal_with_index(obj) 示例10: test_slice_non_numeric
# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import makeTimedeltaIndex [as 别名]
def test_slice_non_numeric(self):
# GH 4892
# float_indexers should raise exceptions
# on appropriate Index types & accessors
for index in [tm.makeStringIndex, tm.makeUnicodeIndex,
tm.makeDateIndex, tm.makeTimedeltaIndex,
tm.makePeriodIndex]:
index = index(5)
for s in [Series(range(5), index=index),
DataFrame(np.random.randn(5, 2), index=index)]:
# getitem
for l in [slice(3.0, 4),
slice(3, 4.0),
slice(3.0, 4.0)]:
def f():
s.iloc[l]
pytest.raises(TypeError, f)
for idxr in [lambda x: x.ix,
lambda x: x.loc,
lambda x: x.iloc,
lambda x: x]:
def f():
with catch_warnings(record=True):
idxr(s)[l]
pytest.raises(TypeError, f)
# setitem
for l in [slice(3.0, 4),
slice(3, 4.0),
slice(3.0, 4.0)]:
def f():
s.iloc[l] = 0
pytest.raises(TypeError, f)
for idxr in [lambda x: x.ix,
lambda x: x.loc,
lambda x: x.iloc,
lambda x: x]:
def f():
with catch_warnings(record=True):
idxr(s)[l] = 0
pytest.raises(TypeError, f)