Python pandas.tseries.offsets.Hour() Examples
The following are 30
code examples of pandas.tseries.offsets.Hour().
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Example #1
| Source File: test_libfrequencies.py From vnpy_crypto with MIT License | 7 votes |
|
def test_is_superperiod_subperiod():
# input validation
assert not (is_superperiod(offsets.YearEnd(), None))
assert not (is_subperiod(offsets.MonthEnd(), None))
assert not (is_superperiod(None, offsets.YearEnd()))
assert not (is_subperiod(None, offsets.MonthEnd()))
assert not (is_superperiod(None, None))
assert not (is_subperiod(None, None))
assert (is_superperiod(offsets.YearEnd(), offsets.MonthEnd()))
assert (is_subperiod(offsets.MonthEnd(), offsets.YearEnd()))
assert (is_superperiod(offsets.Hour(), offsets.Minute()))
assert (is_subperiod(offsets.Minute(), offsets.Hour()))
assert (is_superperiod(offsets.Second(), offsets.Milli()))
assert (is_subperiod(offsets.Milli(), offsets.Second()))
assert (is_superperiod(offsets.Milli(), offsets.Micro()))
assert (is_subperiod(offsets.Micro(), offsets.Milli()))
assert (is_superperiod(offsets.Micro(), offsets.Nano()))
assert (is_subperiod(offsets.Nano(), offsets.Micro()))
Example #2
| Source File: test_libfrequencies.py From twitter-stock-recommendation with MIT License | 6 votes |
|
def test_is_superperiod_subperiod():
# input validation
assert not (is_superperiod(offsets.YearEnd(), None))
assert not (is_subperiod(offsets.MonthEnd(), None))
assert not (is_superperiod(None, offsets.YearEnd()))
assert not (is_subperiod(None, offsets.MonthEnd()))
assert not (is_superperiod(None, None))
assert not (is_subperiod(None, None))
assert (is_superperiod(offsets.YearEnd(), offsets.MonthEnd()))
assert (is_subperiod(offsets.MonthEnd(), offsets.YearEnd()))
assert (is_superperiod(offsets.Hour(), offsets.Minute()))
assert (is_subperiod(offsets.Minute(), offsets.Hour()))
assert (is_superperiod(offsets.Second(), offsets.Milli()))
assert (is_subperiod(offsets.Milli(), offsets.Second()))
assert (is_superperiod(offsets.Milli(), offsets.Micro()))
assert (is_subperiod(offsets.Micro(), offsets.Milli()))
assert (is_superperiod(offsets.Micro(), offsets.Nano()))
assert (is_subperiod(offsets.Nano(), offsets.Micro()))
Example #3
| Source File: test_timezones.py From Computable with MIT License | 6 votes |
|
def test_tz_localize_dti(self):
from pandas.tseries.offsets import Hour
dti = DatetimeIndex(start='1/1/2005', end='1/1/2005 0:00:30.256',
freq='L')
dti2 = dti.tz_localize('US/Eastern')
dti_utc = DatetimeIndex(start='1/1/2005 05:00',
end='1/1/2005 5:00:30.256', freq='L',
tz='utc')
self.assert_(np.array_equal(dti2.values, dti_utc.values))
dti3 = dti2.tz_convert('US/Pacific')
self.assert_(np.array_equal(dti3.values, dti_utc.values))
dti = DatetimeIndex(start='11/6/2011 1:59',
end='11/6/2011 2:00', freq='L')
self.assertRaises(pytz.AmbiguousTimeError, dti.tz_localize,
'US/Eastern')
dti = DatetimeIndex(start='3/13/2011 1:59', end='3/13/2011 2:00',
freq='L')
self.assertRaises(
pytz.NonExistentTimeError, dti.tz_localize, 'US/Eastern')
Example #4
| Source File: test_timeseries.py From Computable with MIT License | 6 votes |
|
def test_timedelta(self):
# this is valid too
index = date_range('1/1/2000', periods=50, freq='B')
shifted = index + timedelta(1)
back = shifted + timedelta(-1)
self.assert_(tm.equalContents(index, back))
self.assertEqual(shifted.freq, index.freq)
self.assertEqual(shifted.freq, back.freq)
result = index - timedelta(1)
expected = index + timedelta(-1)
self.assert_(result.equals(expected))
# GH4134, buggy with timedeltas
rng = date_range('2013', '2014')
s = Series(rng)
result1 = rng - pd.offsets.Hour(1)
result2 = DatetimeIndex(s - np.timedelta64(100000000))
result3 = rng - np.timedelta64(100000000)
result4 = DatetimeIndex(s - pd.offsets.Hour(1))
self.assert_(result1.equals(result4))
self.assert_(result2.equals(result3))
Example #5
| Source File: test_timezones.py From Computable with MIT License | 6 votes |
|
def test_with_tz(self):
tz = pytz.timezone('US/Central')
# just want it to work
start = datetime(2011, 3, 12, tzinfo=pytz.utc)
dr = bdate_range(start, periods=50, freq=datetools.Hour())
self.assert_(dr.tz is pytz.utc)
# DateRange with naive datetimes
dr = bdate_range('1/1/2005', '1/1/2009', tz=pytz.utc)
dr = bdate_range('1/1/2005', '1/1/2009', tz=tz)
# normalized
central = dr.tz_convert(tz)
self.assert_(central.tz is tz)
self.assert_(central[0].tz is tz)
# datetimes with tzinfo set
dr = bdate_range(datetime(2005, 1, 1, tzinfo=pytz.utc),
'1/1/2009', tz=pytz.utc)
self.assertRaises(Exception, bdate_range,
datetime(2005, 1, 1, tzinfo=pytz.utc),
'1/1/2009', tz=tz)
Example #6
| Source File: test_frequencies.py From elasticintel with GNU General Public License v3.0 | 6 votes |
|
def test_is_superperiod_subperiod():
# input validation
assert not (frequencies.is_superperiod(offsets.YearEnd(), None))
assert not (frequencies.is_subperiod(offsets.MonthEnd(), None))
assert not (frequencies.is_superperiod(None, offsets.YearEnd()))
assert not (frequencies.is_subperiod(None, offsets.MonthEnd()))
assert not (frequencies.is_superperiod(None, None))
assert not (frequencies.is_subperiod(None, None))
assert (frequencies.is_superperiod(offsets.YearEnd(), offsets.MonthEnd()))
assert (frequencies.is_subperiod(offsets.MonthEnd(), offsets.YearEnd()))
assert (frequencies.is_superperiod(offsets.Hour(), offsets.Minute()))
assert (frequencies.is_subperiod(offsets.Minute(), offsets.Hour()))
assert (frequencies.is_superperiod(offsets.Second(), offsets.Milli()))
assert (frequencies.is_subperiod(offsets.Milli(), offsets.Second()))
assert (frequencies.is_superperiod(offsets.Milli(), offsets.Micro()))
assert (frequencies.is_subperiod(offsets.Micro(), offsets.Milli()))
assert (frequencies.is_superperiod(offsets.Micro(), offsets.Nano()))
assert (frequencies.is_subperiod(offsets.Nano(), offsets.Micro()))
Example #7
| Source File: test_timezones.py From Computable with MIT License | 6 votes |
|
def test_with_tz_ambiguous_times(self):
tz = pytz.timezone('US/Eastern')
rng = bdate_range(datetime(2009, 1, 1), datetime(2010, 1, 1))
# March 13, 2011, spring forward, skip from 2 AM to 3 AM
dr = date_range(datetime(2011, 3, 13, 1, 30), periods=3,
freq=datetools.Hour())
self.assertRaises(pytz.NonExistentTimeError, dr.tz_localize, tz)
# after dst transition, it works
dr = date_range(datetime(2011, 3, 13, 3, 30), periods=3,
freq=datetools.Hour(), tz=tz)
# November 6, 2011, fall back, repeat 2 AM hour
dr = date_range(datetime(2011, 11, 6, 1, 30), periods=3,
freq=datetools.Hour())
self.assertRaises(pytz.AmbiguousTimeError, dr.tz_localize, tz)
# UTC is OK
dr = date_range(datetime(2011, 3, 13), periods=48,
freq=datetools.Minute(30), tz=pytz.utc)
Example #8
| Source File: test_timezones.py From elasticintel with GNU General Public License v3.0 | 6 votes |
|
def test_tzaware_offset(self):
dates = date_range('2012-11-01', periods=3, tz='US/Pacific')
offset = dates + offsets.Hour(5)
assert dates[0] + offsets.Hour(5) == offset[0]
# GH 6818
for tz in ['UTC', 'US/Pacific', 'Asia/Tokyo']:
dates = date_range('2010-11-01 00:00', periods=3, tz=tz, freq='H')
expected = DatetimeIndex(['2010-11-01 05:00', '2010-11-01 06:00',
'2010-11-01 07:00'], freq='H', tz=tz)
offset = dates + offsets.Hour(5)
tm.assert_index_equal(offset, expected)
offset = dates + np.timedelta64(5, 'h')
tm.assert_index_equal(offset, expected)
offset = dates + timedelta(hours=5)
tm.assert_index_equal(offset, expected)
Example #9
| Source File: test_timezones.py From elasticintel with GNU General Public License v3.0 | 6 votes |
|
def test_localize_utc_conversion(self):
# Localizing to time zone should:
# 1) check for DST ambiguities
# 2) convert to UTC
rng = date_range('3/10/2012', '3/11/2012', freq='30T')
converted = rng.tz_localize(self.tzstr('US/Eastern'))
expected_naive = rng + offsets.Hour(5)
tm.assert_numpy_array_equal(converted.asi8, expected_naive.asi8)
# DST ambiguity, this should fail
rng = date_range('3/11/2012', '3/12/2012', freq='30T')
# Is this really how it should fail??
pytest.raises(NonExistentTimeError, rng.tz_localize,
self.tzstr('US/Eastern'))
Example #10
| Source File: test_timezones.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_with_tz(self):
tz = self.tz('US/Central')
# just want it to work
start = datetime(2011, 3, 12, tzinfo=pytz.utc)
dr = bdate_range(start, periods=50, freq=offsets.Hour())
assert dr.tz is pytz.utc
# DateRange with naive datetimes
dr = bdate_range('1/1/2005', '1/1/2009', tz=pytz.utc)
dr = bdate_range('1/1/2005', '1/1/2009', tz=tz)
# normalized
central = dr.tz_convert(tz)
assert central.tz is tz
comp = self.localize(tz, central[0].to_pydatetime().replace(
tzinfo=None)).tzinfo
assert central[0].tz is comp
# compare vs a localized tz
comp = self.localize(tz,
dr[0].to_pydatetime().replace(tzinfo=None)).tzinfo
assert central[0].tz is comp
# datetimes with tzinfo set
dr = bdate_range(datetime(2005, 1, 1, tzinfo=pytz.utc),
'1/1/2009', tz=pytz.utc)
pytest.raises(Exception, bdate_range,
datetime(2005, 1, 1, tzinfo=pytz.utc), '1/1/2009',
tz=tz)
Example #11
| Source File: test_timezones.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_ambiguous_infer(self):
# November 6, 2011, fall back, repeat 2 AM hour
# With no repeated hours, we cannot infer the transition
tz = self.tz('US/Eastern')
dr = date_range(datetime(2011, 11, 6, 0), periods=5,
freq=offsets.Hour())
pytest.raises(pytz.AmbiguousTimeError, dr.tz_localize, tz)
# With repeated hours, we can infer the transition
dr = date_range(datetime(2011, 11, 6, 0), periods=5,
freq=offsets.Hour(), tz=tz)
times = ['11/06/2011 00:00', '11/06/2011 01:00', '11/06/2011 01:00',
'11/06/2011 02:00', '11/06/2011 03:00']
di = DatetimeIndex(times)
localized = di.tz_localize(tz, ambiguous='infer')
tm.assert_index_equal(dr, localized)
with tm.assert_produces_warning(FutureWarning):
localized_old = di.tz_localize(tz, infer_dst=True)
tm.assert_index_equal(dr, localized_old)
tm.assert_index_equal(dr, DatetimeIndex(times, tz=tz,
ambiguous='infer'))
# When there is no dst transition, nothing special happens
dr = date_range(datetime(2011, 6, 1, 0), periods=10,
freq=offsets.Hour())
localized = dr.tz_localize(tz)
localized_infer = dr.tz_localize(tz, ambiguous='infer')
tm.assert_index_equal(localized, localized_infer)
with tm.assert_produces_warning(FutureWarning):
localized_infer_old = dr.tz_localize(tz, infer_dst=True)
tm.assert_index_equal(localized, localized_infer_old)
Example #12
| Source File: test_timezones.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_localize_utc_conversion_explicit(self):
# Localizing to time zone should:
# 1) check for DST ambiguities
# 2) convert to UTC
rng = date_range('3/10/2012', '3/11/2012', freq='30T')
converted = rng.tz_localize(self.tz('US/Eastern'))
expected_naive = rng + offsets.Hour(5)
assert np.array_equal(converted.asi8, expected_naive.asi8)
# DST ambiguity, this should fail
rng = date_range('3/11/2012', '3/12/2012', freq='30T')
# Is this really how it should fail??
pytest.raises(NonExistentTimeError, rng.tz_localize,
self.tz('US/Eastern'))
Example #13
| Source File: test_resample.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_resample_reresample(self):
dti = DatetimeIndex(start=datetime(2005, 1, 1),
end=datetime(2005, 1, 10), freq='D')
s = Series(np.random.rand(len(dti)), dti)
bs = s.resample('B', closed='right', label='right').mean()
result = bs.resample('8H').mean()
assert len(result) == 22
assert isinstance(result.index.freq, offsets.DateOffset)
assert result.index.freq == offsets.Hour(8)
Example #14
| Source File: test_resample.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_str(self):
r = self.series.resample('H')
assert ('DatetimeIndexResampler [freq=<Hour>, axis=0, closed=left, '
'label=left, convention=start, base=0]' in str(r))
Example #15
| Source File: test_datetime_index.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_resample_reresample():
dti = date_range(start=datetime(2005, 1, 1),
end=datetime(2005, 1, 10), freq='D')
s = Series(np.random.rand(len(dti)), dti)
bs = s.resample('B', closed='right', label='right').mean()
result = bs.resample('8H').mean()
assert len(result) == 22
assert isinstance(result.index.freq, offsets.DateOffset)
assert result.index.freq == offsets.Hour(8)
Example #16
| Source File: test_ticks.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_apply_ticks():
result = offsets.Hour(3).apply(offsets.Hour(4))
exp = offsets.Hour(7)
assert (result == exp)
Example #17
| Source File: test_frequencies.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_frequency_misc(self):
assert (resolution.get_freq_group('T') ==
FreqGroup.FR_MIN)
code, stride = get_freq_code(offsets.Hour())
assert code == FreqGroup.FR_HR
code, stride = get_freq_code((5, 'T'))
assert code == FreqGroup.FR_MIN
assert stride == 5
offset = offsets.Hour()
result = frequencies.to_offset(offset)
assert result == offset
result = frequencies.to_offset((5, 'T'))
expected = offsets.Minute(5)
assert result == expected
with pytest.raises(ValueError, match='Invalid frequency'):
get_freq_code((5, 'baz'))
with pytest.raises(ValueError, match='Invalid frequency'):
frequencies.to_offset('100foo')
with pytest.raises(ValueError, match='Could not evaluate'):
frequencies.to_offset(('', ''))
Example #18
| Source File: test_timezones.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_nat(self):
# GH 5546
dates = [NaT]
idx = DatetimeIndex(dates)
idx = idx.tz_localize('US/Pacific')
tm.assert_index_equal(idx, DatetimeIndex(dates, tz='US/Pacific'))
idx = idx.tz_convert('US/Eastern')
tm.assert_index_equal(idx, DatetimeIndex(dates, tz='US/Eastern'))
idx = idx.tz_convert('UTC')
tm.assert_index_equal(idx, DatetimeIndex(dates, tz='UTC'))
dates = ['2010-12-01 00:00', '2010-12-02 00:00', NaT]
idx = DatetimeIndex(dates)
idx = idx.tz_localize('US/Pacific')
tm.assert_index_equal(idx, DatetimeIndex(dates, tz='US/Pacific'))
idx = idx.tz_convert('US/Eastern')
expected = ['2010-12-01 03:00', '2010-12-02 03:00', NaT]
tm.assert_index_equal(idx, DatetimeIndex(expected, tz='US/Eastern'))
idx = idx + offsets.Hour(5)
expected = ['2010-12-01 08:00', '2010-12-02 08:00', NaT]
tm.assert_index_equal(idx, DatetimeIndex(expected, tz='US/Eastern'))
idx = idx.tz_convert('US/Pacific')
expected = ['2010-12-01 05:00', '2010-12-02 05:00', NaT]
tm.assert_index_equal(idx, DatetimeIndex(expected, tz='US/Pacific'))
idx = idx + np.timedelta64(3, 'h')
expected = ['2010-12-01 08:00', '2010-12-02 08:00', NaT]
tm.assert_index_equal(idx, DatetimeIndex(expected, tz='US/Pacific'))
idx = idx.tz_convert('US/Eastern')
expected = ['2010-12-01 11:00', '2010-12-02 11:00', NaT]
tm.assert_index_equal(idx, DatetimeIndex(expected, tz='US/Eastern'))
Example #19
| Source File: test_frequencies.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_to_offset_invalid(self):
# GH 13930
with tm.assert_raises_regex(ValueError,
'Invalid frequency: U1'):
frequencies.to_offset('U1')
with tm.assert_raises_regex(ValueError,
'Invalid frequency: -U'):
frequencies.to_offset('-U')
with tm.assert_raises_regex(ValueError,
'Invalid frequency: 3U1'):
frequencies.to_offset('3U1')
with tm.assert_raises_regex(ValueError,
'Invalid frequency: -2-3U'):
frequencies.to_offset('-2-3U')
with tm.assert_raises_regex(ValueError,
'Invalid frequency: -2D:3H'):
frequencies.to_offset('-2D:3H')
with tm.assert_raises_regex(ValueError,
'Invalid frequency: 1.5.0S'):
frequencies.to_offset('1.5.0S')
# split offsets with spaces are valid
assert frequencies.to_offset('2D 3H') == offsets.Hour(51)
assert frequencies.to_offset('2 D3 H') == offsets.Hour(51)
assert frequencies.to_offset('2 D 3 H') == offsets.Hour(51)
assert frequencies.to_offset(' 2 D 3 H ') == offsets.Hour(51)
assert frequencies.to_offset(' H ') == offsets.Hour()
assert frequencies.to_offset(' 3 H ') == offsets.Hour(3)
# special cases
assert frequencies.to_offset('2SMS-15') == offsets.SemiMonthBegin(2)
with tm.assert_raises_regex(ValueError,
'Invalid frequency: 2SMS-15-15'):
frequencies.to_offset('2SMS-15-15')
with tm.assert_raises_regex(ValueError,
'Invalid frequency: 2SMS-15D'):
frequencies.to_offset('2SMS-15D')
Example #20
| Source File: test_ticks.py From coffeegrindsize with MIT License | 5 votes |
|
def test_apply_ticks():
result = offsets.Hour(3).apply(offsets.Hour(4))
exp = offsets.Hour(7)
assert (result == exp)
Example #21
| Source File: test_ticks.py From coffeegrindsize with MIT License | 5 votes |
|
def test_Hour():
assert_offset_equal(Hour(),
datetime(2010, 1, 1), datetime(2010, 1, 1, 1))
assert_offset_equal(Hour(-1),
datetime(2010, 1, 1, 1), datetime(2010, 1, 1))
assert_offset_equal(2 * Hour(),
datetime(2010, 1, 1), datetime(2010, 1, 1, 2))
assert_offset_equal(-1 * Hour(),
datetime(2010, 1, 1, 1), datetime(2010, 1, 1))
assert Hour(3) + Hour(2) == Hour(5)
assert Hour(3) - Hour(2) == Hour()
assert Hour(4) != Hour(1)
Example #22
| Source File: test_frequencies.py From coffeegrindsize with MIT License | 5 votes |
|
def test_to_offset_invalid(self):
# GH 13930
with pytest.raises(ValueError, match='Invalid frequency: U1'):
frequencies.to_offset('U1')
with pytest.raises(ValueError, match='Invalid frequency: -U'):
frequencies.to_offset('-U')
with pytest.raises(ValueError, match='Invalid frequency: 3U1'):
frequencies.to_offset('3U1')
with pytest.raises(ValueError, match='Invalid frequency: -2-3U'):
frequencies.to_offset('-2-3U')
with pytest.raises(ValueError, match='Invalid frequency: -2D:3H'):
frequencies.to_offset('-2D:3H')
with pytest.raises(ValueError, match='Invalid frequency: 1.5.0S'):
frequencies.to_offset('1.5.0S')
# split offsets with spaces are valid
assert frequencies.to_offset('2D 3H') == offsets.Hour(51)
assert frequencies.to_offset('2 D3 H') == offsets.Hour(51)
assert frequencies.to_offset('2 D 3 H') == offsets.Hour(51)
assert frequencies.to_offset(' 2 D 3 H ') == offsets.Hour(51)
assert frequencies.to_offset(' H ') == offsets.Hour()
assert frequencies.to_offset(' 3 H ') == offsets.Hour(3)
# special cases
assert frequencies.to_offset('2SMS-15') == offsets.SemiMonthBegin(2)
with pytest.raises(ValueError, match='Invalid frequency: 2SMS-15-15'):
frequencies.to_offset('2SMS-15-15')
with pytest.raises(ValueError, match='Invalid frequency: 2SMS-15D'):
frequencies.to_offset('2SMS-15D')
Example #23
| Source File: test_frequencies.py From coffeegrindsize with MIT License | 5 votes |
|
def test_frequency_misc(self):
assert (resolution.get_freq_group('T') ==
FreqGroup.FR_MIN)
code, stride = get_freq_code(offsets.Hour())
assert code == FreqGroup.FR_HR
code, stride = get_freq_code((5, 'T'))
assert code == FreqGroup.FR_MIN
assert stride == 5
offset = offsets.Hour()
result = frequencies.to_offset(offset)
assert result == offset
result = frequencies.to_offset((5, 'T'))
expected = offsets.Minute(5)
assert result == expected
with pytest.raises(ValueError, match='Invalid frequency'):
get_freq_code((5, 'baz'))
with pytest.raises(ValueError, match='Invalid frequency'):
frequencies.to_offset('100foo')
with pytest.raises(ValueError, match='Could not evaluate'):
frequencies.to_offset(('', ''))
Example #24
| Source File: test_resample.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_str(self):
r = self.series.resample('H')
assert ('DatetimeIndexResampler [freq=<Hour>, axis=0, closed=left, '
'label=left, convention=start, base=0]' in str(r))
Example #25
| Source File: test_resample.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_resample_reresample(self):
dti = DatetimeIndex(start=datetime(2005, 1, 1),
end=datetime(2005, 1, 10), freq='D')
s = Series(np.random.rand(len(dti)), dti)
bs = s.resample('B', closed='right', label='right').mean()
result = bs.resample('8H').mean()
assert len(result) == 22
assert isinstance(result.index.freq, offsets.DateOffset)
assert result.index.freq == offsets.Hour(8)
Example #26
| Source File: test_resample.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_repr(self):
# GH18203
result = repr(TimeGrouper(key='A', freq='H'))
expected = ("TimeGrouper(key='A', freq=<Hour>, axis=0, sort=True, "
"closed='left', label='left', how='mean', "
"convention='e', base=0)")
assert result == expected
Example #27
| Source File: test_ticks.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_apply_ticks():
result = offsets.Hour(3).apply(offsets.Hour(4))
exp = offsets.Hour(7)
assert (result == exp)
Example #28
| Source File: test_ticks.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_Hour():
assert_offset_equal(Hour(),
datetime(2010, 1, 1), datetime(2010, 1, 1, 1))
assert_offset_equal(Hour(-1),
datetime(2010, 1, 1, 1), datetime(2010, 1, 1))
assert_offset_equal(2 * Hour(),
datetime(2010, 1, 1), datetime(2010, 1, 1, 2))
assert_offset_equal(-1 * Hour(),
datetime(2010, 1, 1, 1), datetime(2010, 1, 1))
assert Hour(3) + Hour(2) == Hour(5)
assert Hour(3) - Hour(2) == Hour()
assert Hour(4) != Hour(1)
Example #29
| Source File: test_frequencies.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_frequency_misc(self):
assert (resolution.get_freq_group('T') ==
frequencies.FreqGroup.FR_MIN)
code, stride = frequencies.get_freq_code(offsets.Hour())
assert code == frequencies.FreqGroup.FR_HR
code, stride = frequencies.get_freq_code((5, 'T'))
assert code == frequencies.FreqGroup.FR_MIN
assert stride == 5
offset = offsets.Hour()
result = frequencies.to_offset(offset)
assert result == offset
result = frequencies.to_offset((5, 'T'))
expected = offsets.Minute(5)
assert result == expected
with tm.assert_raises_regex(ValueError, 'Invalid frequency'):
frequencies.get_freq_code((5, 'baz'))
with tm.assert_raises_regex(ValueError, 'Invalid frequency'):
frequencies.to_offset('100foo')
with tm.assert_raises_regex(ValueError, 'Could not evaluate'):
frequencies.to_offset(('', ''))
Example #30
| Source File: test_resample.py From Computable with MIT License | 5 votes |
|
def test_resample_reresample(self):
dti = DatetimeIndex(
start=datetime(2005, 1, 1), end=datetime(2005, 1, 10),
freq='D')
s = Series(np.random.rand(len(dti)), dti)
bs = s.resample('B', closed='right', label='right')
result = bs.resample('8H')
self.assertEquals(len(result), 22)
tm.assert_isinstance(result.index.freq, offsets.DateOffset)
self.assert_(result.index.freq == offsets.Hour(8))
