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Version:
0.21.1 ▾
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from datetime import datetime
import numpy as np
import pandas as pd
import pandas.util.testing as tm
from pandas import (DatetimeIndex, date_range, Series, bdate_range, DataFrame,
Int64Index, Index, to_datetime)
from pandas.tseries.offsets import Minute, BMonthEnd, MonthEnd
START, END = datetime(2009, 1, 1), datetime(2010, 1, 1)
class TestDatetimeIndex(object):
def test_union(self):
i1 = Int64Index(np.arange(0, 20, 2))
i2 = Int64Index(np.arange(10, 30, 2))
result = i1.union(i2)
expected = Int64Index(np.arange(0, 30, 2))
tm.assert_index_equal(result, expected)
def test_union_coverage(self):
idx = DatetimeIndex(['2000-01-03', '2000-01-01', '2000-01-02'])
ordered = DatetimeIndex(idx.sort_values(), freq='infer')
result = ordered.union(idx)
tm.assert_index_equal(result, ordered)
result = ordered[:0].union(ordered)
tm.assert_index_equal(result, ordered)
assert result.freq == ordered.freq
def test_union_bug_1730(self):
rng_a = date_range('1/1/2012', periods=4, freq='3H')
rng_b = date_range('1/1/2012', periods=4, freq='4H')
result = rng_a.union(rng_b)
exp = DatetimeIndex(sorted(set(list(rng_a)) | set(list(rng_b))))
tm.assert_index_equal(result, exp)
def test_union_bug_1745(self):
left = DatetimeIndex(['2012-05-11 15:19:49.695000'])
right = DatetimeIndex(['2012-05-29 13:04:21.322000',
'2012-05-11 15:27:24.873000',
'2012-05-11 15:31:05.350000'])
result = left.union(right)
exp = DatetimeIndex(sorted(set(list(left)) | set(list(right))))
tm.assert_index_equal(result, exp)
def test_union_bug_4564(self):
from pandas import DateOffset
left = date_range("2013-01-01", "2013-02-01")
right = left + DateOffset(minutes=15)
result = left.union(right)
exp = DatetimeIndex(sorted(set(list(left)) | set(list(right))))
tm.assert_index_equal(result, exp)
def test_union_freq_both_none(self):
# GH11086
expected = bdate_range('20150101', periods=10)
expected.freq = None
result = expected.union(expected)
tm.assert_index_equal(result, expected)
assert result.freq is None
def test_union_dataframe_index(self):
rng1 = date_range('1/1/1999', '1/1/2012', freq='MS')
s1 = Series(np.random.randn(len(rng1)), rng1)
rng2 = date_range('1/1/1980', '12/1/2001', freq='MS')
s2 = Series(np.random.randn(len(rng2)), rng2)
df = DataFrame({'s1': s1, 's2': s2})
exp = pd.date_range('1/1/1980', '1/1/2012', freq='MS')
tm.assert_index_equal(df.index, exp)
def test_union_with_DatetimeIndex(self):
i1 = Int64Index(np.arange(0, 20, 2))
i2 = DatetimeIndex(start='2012-01-03 00:00:00', periods=10, freq='D')
i1.union(i2) # Works
i2.union(i1) # Fails with "AttributeError: can't set attribute"
def test_intersection(self):
# GH 4690 (with tz)
for tz in [None, 'Asia/Tokyo', 'US/Eastern', 'dateutil/US/Pacific']:
base = date_range('6/1/2000', '6/30/2000', freq='D', name='idx')
# if target has the same name, it is preserved
rng2 = date_range('5/15/2000', '6/20/2000', freq='D', name='idx')
expected2 = date_range('6/1/2000', '6/20/2000', freq='D',
name='idx')
# if target name is different, it will be reset
rng3 = date_range('5/15/2000', '6/20/2000', freq='D', name='other')
expected3 = date_range('6/1/2000', '6/20/2000', freq='D',
name=None)
rng4 = date_range('7/1/2000', '7/31/2000', freq='D', name='idx')
expected4 = DatetimeIndex([], name='idx')
for (rng, expected) in [(rng2, expected2), (rng3, expected3),
(rng4, expected4)]:
result = base.intersection(rng)
tm.assert_index_equal(result, expected)
assert result.name == expected.name
assert result.freq == expected.freq
assert result.tz == expected.tz
# non-monotonic
base = DatetimeIndex(['2011-01-05', '2011-01-04',
'2011-01-02', '2011-01-03'],
tz=tz, name='idx')
rng2 = DatetimeIndex(['2011-01-04', '2011-01-02',
'2011-02-02', '2011-02-03'],
tz=tz, name='idx')
expected2 = DatetimeIndex(
['2011-01-04', '2011-01-02'], tz=tz, name='idx')
rng3 = DatetimeIndex(['2011-01-04', '2011-01-02',
'2011-02-02', '2011-02-03'],
tz=tz, name='other')
expected3 = DatetimeIndex(
['2011-01-04', '2011-01-02'], tz=tz, name=None)
# GH 7880
rng4 = date_range('7/1/2000', '7/31/2000', freq='D', tz=tz,
name='idx')
expected4 = DatetimeIndex([], tz=tz, name='idx')
for (rng, expected) in [(rng2, expected2), (rng3, expected3),
(rng4, expected4)]:
result = base.intersection(rng)
tm.assert_index_equal(result, expected)
assert result.name == expected.name
assert result.freq is None
assert result.tz == expected.tz
# empty same freq GH2129
rng = date_range('6/1/2000', '6/15/2000', freq='T')
result = rng[0:0].intersection(rng)
assert len(result) == 0
result = rng.intersection(rng[0:0])
assert len(result) == 0
def test_intersection_bug_1708(self):
from pandas import DateOffset
index_1 = date_range('1/1/2012', periods=4, freq='12H')
index_2 = index_1 + DateOffset(hours=1)
result = index_1 & index_2
assert len(result) == 0
def test_difference_freq(self):
# GH14323: difference of DatetimeIndex should not preserve frequency
index = date_range("20160920", "20160925", freq="D")
other = date_range("20160921", "20160924", freq="D")
expected = DatetimeIndex(["20160920", "20160925"], freq=None)
idx_diff = index.difference(other)
tm.assert_index_equal(idx_diff, expected)
tm.assert_attr_equal('freq', idx_diff, expected)
other = date_range("20160922", "20160925", freq="D")
idx_diff = index.difference(other)
expected = DatetimeIndex(["20160920", "20160921"], freq=None)
tm.assert_index_equal(idx_diff, expected)
tm.assert_attr_equal('freq', idx_diff, expected)
def test_datetimeindex_diff(self):
dti1 = DatetimeIndex(freq='Q-JAN', start=datetime(1997, 12, 31),
periods=100)
dti2 = DatetimeIndex(freq='Q-JAN', start=datetime(1997, 12, 31),
periods=98)
assert len(dti1.difference(dti2)) == 2
def test_datetimeindex_union_join_empty(self):
dti = DatetimeIndex(start='1/1/2001', end='2/1/2001', freq='D')
empty = Index([])
result = dti.union(empty)
assert isinstance(result, DatetimeIndex)
assert result is result
result = dti.join(empty)
assert isinstance(result, DatetimeIndex)
def test_join_nonunique(self):
idx1 = to_datetime(['2012-11-06 16:00:11.477563',
'2012-11-06 16:00:11.477563'])
idx2 = to_datetime(['2012-11-06 15:11:09.006507',
'2012-11-06 15:11:09.006507'])
rs = idx1.join(idx2, how='outer')
assert rs.is_monotonic
class TestBusinessDatetimeIndex(object):
def setup_method(self, method):
self.rng = bdate_range(START, END)
def test_union(self):
# overlapping
left = self.rng[:10]
right = self.rng[5:10]
the_union = left.union(right)
assert isinstance(the_union, DatetimeIndex)
# non-overlapping, gap in middle
left = self.rng[:5]
right = self.rng[10:]
the_union = left.union(right)
assert isinstance(the_union, Index)
# non-overlapping, no gap
left = self.rng[:5]
right = self.rng[5:10]
the_union = left.union(right)
assert isinstance(the_union, DatetimeIndex)
# order does not matter
tm.assert_index_equal(right.union(left), the_union)
# overlapping, but different offset
rng = date_range(START, END, freq=BMonthEnd())
the_union = self.rng.union(rng)
assert isinstance(the_union, DatetimeIndex)
def test_outer_join(self):
# should just behave as union
# overlapping
left = self.rng[:10]
right = self.rng[5:10]
the_join = left.join(right, how='outer')
assert isinstance(the_join, DatetimeIndex)
# non-overlapping, gap in middle
left = self.rng[:5]
right = self.rng[10:]
the_join = left.join(right, how='outer')
assert isinstance(the_join, DatetimeIndex)
assert the_join.freq is None
# non-overlapping, no gap
left = self.rng[:5]
right = self.rng[5:10]
the_join = left.join(right, how='outer')
assert isinstance(the_join, DatetimeIndex)
# overlapping, but different offset
rng = date_range(START, END, freq=BMonthEnd())
the_join = self.rng.join(rng, how='outer')
assert isinstance(the_join, DatetimeIndex)
assert the_join.freq is None
def test_union_not_cacheable(self):
rng = date_range('1/1/2000', periods=50, freq=Minute())
rng1 = rng[10:]
rng2 = rng[:25]
the_union = rng1.union(rng2)
tm.assert_index_equal(the_union, rng)
rng1 = rng[10:]
rng2 = rng[15:35]
the_union = rng1.union(rng2)
expected = rng[10:]
tm.assert_index_equal(the_union, expected)
def test_intersection(self):
rng = date_range('1/1/2000', periods=50, freq=Minute())
rng1 = rng[10:]
rng2 = rng[:25]
the_int = rng1.intersection(rng2)
expected = rng[10:25]
tm.assert_index_equal(the_int, expected)
assert isinstance(the_int, DatetimeIndex)
assert the_int.offset == rng.offset
the_int = rng1.intersection(rng2.view(DatetimeIndex))
tm.assert_index_equal(the_int, expected)
# non-overlapping
the_int = rng[:10].intersection(rng[10:])
expected = DatetimeIndex([])
tm.assert_index_equal(the_int, expected)
def test_intersection_bug(self):
# GH #771
a = bdate_range('11/30/2011', '12/31/2011')
b = bdate_range('12/10/2011', '12/20/2011')
result = a.intersection(b)
tm.assert_index_equal(result, b)
def test_month_range_union_tz_pytz(self):
from pytz import timezone
tz = timezone('US/Eastern')
early_start = datetime(2011, 1, 1)
early_end = datetime(2011, 3, 1)
late_start = datetime(2011, 3, 1)
late_end = datetime(2011, 5, 1)
early_dr = date_range(start=early_start, end=early_end, tz=tz,
freq=MonthEnd())
late_dr = date_range(start=late_start, end=late_end, tz=tz,
freq=MonthEnd())
early_dr.union(late_dr)
def test_month_range_union_tz_dateutil(self):
tm._skip_if_windows_python_3()
from pandas._libs.tslibs.timezones import dateutil_gettz
tz = dateutil_gettz('US/Eastern')
early_start = datetime(2011, 1, 1)
early_end = datetime(2011, 3, 1)
late_start = datetime(2011, 3, 1)
late_end = datetime(2011, 5, 1)
early_dr = date_range(start=early_start, end=early_end, tz=tz,
freq=MonthEnd())
late_dr = date_range(start=late_start, end=late_end, tz=tz,
freq=MonthEnd())
early_dr.union(late_dr)
class TestCustomDatetimeIndex(object):
def setup_method(self, method):
self.rng = bdate_range(START, END, freq='C')
def test_union(self):
# overlapping
left = self.rng[:10]
right = self.rng[5:10]
the_union = left.union(right)
assert isinstance(the_union, DatetimeIndex)
# non-overlapping, gap in middle
left = self.rng[:5]
right = self.rng[10:]
the_union = left.union(right)
assert isinstance(the_union, Index)
# non-overlapping, no gap
left = self.rng[:5]
right = self.rng[5:10]
the_union = left.union(right)
assert isinstance(the_union, DatetimeIndex)
# order does not matter
tm.assert_index_equal(right.union(left), the_union)
# overlapping, but different offset
rng = date_range(START, END, freq=BMonthEnd())
the_union = self.rng.union(rng)
assert isinstance(the_union, DatetimeIndex)
def test_outer_join(self):
# should just behave as union
# overlapping
left = self.rng[:10]
right = self.rng[5:10]
the_join = left.join(right, how='outer')
assert isinstance(the_join, DatetimeIndex)
# non-overlapping, gap in middle
left = self.rng[:5]
right = self.rng[10:]
the_join = left.join(right, how='outer')
assert isinstance(the_join, DatetimeIndex)
assert the_join.freq is None
# non-overlapping, no gap
left = self.rng[:5]
right = self.rng[5:10]
the_join = left.join(right, how='outer')
assert isinstance(the_join, DatetimeIndex)
# overlapping, but different offset
rng = date_range(START, END, freq=BMonthEnd())
the_join = self.rng.join(rng, how='outer')
assert isinstance(the_join, DatetimeIndex)
assert the_join.freq is None
def test_intersection_bug(self):
# GH #771
a = bdate_range('11/30/2011', '12/31/2011', freq='C')
b = bdate_range('12/10/2011', '12/20/2011', freq='C')
result = a.intersection(b)
tm.assert_index_equal(result, b)