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test_timedelta.py
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test_timedelta.py
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""" test the scalar Timedelta """
import pytest
import numpy as np
from datetime import timedelta
import pandas as pd
import pandas.util.testing as tm
from pandas.core.tools.timedeltas import _coerce_scalar_to_timedelta_type as ct
from pandas import (Timedelta, TimedeltaIndex, timedelta_range, Series,
to_timedelta, compat)
from pandas._libs.tslib import iNaT, NaTType
class TestTimedeltas(tm.TestCase):
_multiprocess_can_split_ = True
def setUp(self):
pass
def test_construction(self):
expected = np.timedelta64(10, 'D').astype('m8[ns]').view('i8')
self.assertEqual(Timedelta(10, unit='d').value, expected)
self.assertEqual(Timedelta(10.0, unit='d').value, expected)
self.assertEqual(Timedelta('10 days').value, expected)
self.assertEqual(Timedelta(days=10).value, expected)
self.assertEqual(Timedelta(days=10.0).value, expected)
expected += np.timedelta64(10, 's').astype('m8[ns]').view('i8')
self.assertEqual(Timedelta('10 days 00:00:10').value, expected)
self.assertEqual(Timedelta(days=10, seconds=10).value, expected)
self.assertEqual(
Timedelta(days=10, milliseconds=10 * 1000).value, expected)
self.assertEqual(
Timedelta(days=10, microseconds=10 * 1000 * 1000).value, expected)
# test construction with np dtypes
# GH 8757
timedelta_kwargs = {'days': 'D',
'seconds': 's',
'microseconds': 'us',
'milliseconds': 'ms',
'minutes': 'm',
'hours': 'h',
'weeks': 'W'}
npdtypes = [np.int64, np.int32, np.int16, np.float64, np.float32,
np.float16]
for npdtype in npdtypes:
for pykwarg, npkwarg in timedelta_kwargs.items():
expected = np.timedelta64(1,
npkwarg).astype('m8[ns]').view('i8')
self.assertEqual(
Timedelta(**{pykwarg: npdtype(1)}).value, expected)
# rounding cases
self.assertEqual(Timedelta(82739999850000).value, 82739999850000)
self.assertTrue('0 days 22:58:59.999850' in str(Timedelta(
82739999850000)))
self.assertEqual(Timedelta(123072001000000).value, 123072001000000)
self.assertTrue('1 days 10:11:12.001' in str(Timedelta(
123072001000000)))
# string conversion with/without leading zero
# GH 9570
self.assertEqual(Timedelta('0:00:00'), timedelta(hours=0))
self.assertEqual(Timedelta('00:00:00'), timedelta(hours=0))
self.assertEqual(Timedelta('-1:00:00'), -timedelta(hours=1))
self.assertEqual(Timedelta('-01:00:00'), -timedelta(hours=1))
# more strings & abbrevs
# GH 8190
self.assertEqual(Timedelta('1 h'), timedelta(hours=1))
self.assertEqual(Timedelta('1 hour'), timedelta(hours=1))
self.assertEqual(Timedelta('1 hr'), timedelta(hours=1))
self.assertEqual(Timedelta('1 hours'), timedelta(hours=1))
self.assertEqual(Timedelta('-1 hours'), -timedelta(hours=1))
self.assertEqual(Timedelta('1 m'), timedelta(minutes=1))
self.assertEqual(Timedelta('1.5 m'), timedelta(seconds=90))
self.assertEqual(Timedelta('1 minute'), timedelta(minutes=1))
self.assertEqual(Timedelta('1 minutes'), timedelta(minutes=1))
self.assertEqual(Timedelta('1 s'), timedelta(seconds=1))
self.assertEqual(Timedelta('1 second'), timedelta(seconds=1))
self.assertEqual(Timedelta('1 seconds'), timedelta(seconds=1))
self.assertEqual(Timedelta('1 ms'), timedelta(milliseconds=1))
self.assertEqual(Timedelta('1 milli'), timedelta(milliseconds=1))
self.assertEqual(Timedelta('1 millisecond'), timedelta(milliseconds=1))
self.assertEqual(Timedelta('1 us'), timedelta(microseconds=1))
self.assertEqual(Timedelta('1 micros'), timedelta(microseconds=1))
self.assertEqual(Timedelta('1 microsecond'), timedelta(microseconds=1))
self.assertEqual(Timedelta('1.5 microsecond'),
Timedelta('00:00:00.000001500'))
self.assertEqual(Timedelta('1 ns'), Timedelta('00:00:00.000000001'))
self.assertEqual(Timedelta('1 nano'), Timedelta('00:00:00.000000001'))
self.assertEqual(Timedelta('1 nanosecond'),
Timedelta('00:00:00.000000001'))
# combos
self.assertEqual(Timedelta('10 days 1 hour'),
timedelta(days=10, hours=1))
self.assertEqual(Timedelta('10 days 1 h'), timedelta(days=10, hours=1))
self.assertEqual(Timedelta('10 days 1 h 1m 1s'), timedelta(
days=10, hours=1, minutes=1, seconds=1))
self.assertEqual(Timedelta('-10 days 1 h 1m 1s'), -
timedelta(days=10, hours=1, minutes=1, seconds=1))
self.assertEqual(Timedelta('-10 days 1 h 1m 1s'), -
timedelta(days=10, hours=1, minutes=1, seconds=1))
self.assertEqual(Timedelta('-10 days 1 h 1m 1s 3us'), -
timedelta(days=10, hours=1, minutes=1,
seconds=1, microseconds=3))
self.assertEqual(Timedelta('-10 days 1 h 1.5m 1s 3us'), -
timedelta(days=10, hours=1, minutes=1,
seconds=31, microseconds=3))
# currently invalid as it has a - on the hhmmdd part (only allowed on
# the days)
pytest.raises(ValueError,
lambda: Timedelta('-10 days -1 h 1.5m 1s 3us'))
# only leading neg signs are allowed
pytest.raises(ValueError,
lambda: Timedelta('10 days -1 h 1.5m 1s 3us'))
# no units specified
pytest.raises(ValueError, lambda: Timedelta('3.1415'))
# invalid construction
tm.assertRaisesRegexp(ValueError, "cannot construct a Timedelta",
lambda: Timedelta())
tm.assertRaisesRegexp(ValueError, "unit abbreviation w/o a number",
lambda: Timedelta('foo'))
tm.assertRaisesRegexp(ValueError,
"cannot construct a Timedelta from the passed "
"arguments, allowed keywords are ",
lambda: Timedelta(day=10))
# roundtripping both for string and value
for v in ['1s', '-1s', '1us', '-1us', '1 day', '-1 day',
'-23:59:59.999999', '-1 days +23:59:59.999999', '-1ns',
'1ns', '-23:59:59.999999999']:
td = Timedelta(v)
self.assertEqual(Timedelta(td.value), td)
# str does not normally display nanos
if not td.nanoseconds:
self.assertEqual(Timedelta(str(td)), td)
self.assertEqual(Timedelta(td._repr_base(format='all')), td)
# floats
expected = np.timedelta64(
10, 's').astype('m8[ns]').view('i8') + np.timedelta64(
500, 'ms').astype('m8[ns]').view('i8')
self.assertEqual(Timedelta(10.5, unit='s').value, expected)
# offset
self.assertEqual(to_timedelta(pd.offsets.Hour(2)),
Timedelta('0 days, 02:00:00'))
self.assertEqual(Timedelta(pd.offsets.Hour(2)),
Timedelta('0 days, 02:00:00'))
self.assertEqual(Timedelta(pd.offsets.Second(2)),
Timedelta('0 days, 00:00:02'))
# unicode
# GH 11995
expected = Timedelta('1H')
result = pd.Timedelta(u'1H')
self.assertEqual(result, expected)
self.assertEqual(to_timedelta(pd.offsets.Hour(2)),
Timedelta(u'0 days, 02:00:00'))
pytest.raises(ValueError, lambda: Timedelta(u'foo bar'))
def test_overflow_on_construction(self):
# xref https://github.com/statsmodels/statsmodels/issues/3374
value = pd.Timedelta('1day').value * 20169940
pytest.raises(OverflowError, pd.Timedelta, value)
def test_total_seconds_scalar(self):
# GH 10939
rng = Timedelta('1 days, 10:11:12.100123456')
expt = 1 * 86400 + 10 * 3600 + 11 * 60 + 12 + 100123456. / 1e9
tm.assert_almost_equal(rng.total_seconds(), expt)
rng = Timedelta(np.nan)
self.assertTrue(np.isnan(rng.total_seconds()))
def test_repr(self):
self.assertEqual(repr(Timedelta(10, unit='d')),
"Timedelta('10 days 00:00:00')")
self.assertEqual(repr(Timedelta(10, unit='s')),
"Timedelta('0 days 00:00:10')")
self.assertEqual(repr(Timedelta(10, unit='ms')),
"Timedelta('0 days 00:00:00.010000')")
self.assertEqual(repr(Timedelta(-10, unit='ms')),
"Timedelta('-1 days +23:59:59.990000')")
def test_conversion(self):
for td in [Timedelta(10, unit='d'),
Timedelta('1 days, 10:11:12.012345')]:
pydt = td.to_pytimedelta()
self.assertTrue(td == Timedelta(pydt))
self.assertEqual(td, pydt)
self.assertTrue(isinstance(pydt, timedelta) and not isinstance(
pydt, Timedelta))
self.assertEqual(td, np.timedelta64(td.value, 'ns'))
td64 = td.to_timedelta64()
self.assertEqual(td64, np.timedelta64(td.value, 'ns'))
self.assertEqual(td, td64)
self.assertTrue(isinstance(td64, np.timedelta64))
# this is NOT equal and cannot be roundtriped (because of the nanos)
td = Timedelta('1 days, 10:11:12.012345678')
self.assertTrue(td != td.to_pytimedelta())
def test_freq_conversion(self):
# truediv
td = Timedelta('1 days 2 hours 3 ns')
result = td / np.timedelta64(1, 'D')
self.assertEqual(result, td.value / float(86400 * 1e9))
result = td / np.timedelta64(1, 's')
self.assertEqual(result, td.value / float(1e9))
result = td / np.timedelta64(1, 'ns')
self.assertEqual(result, td.value)
# floordiv
td = Timedelta('1 days 2 hours 3 ns')
result = td // np.timedelta64(1, 'D')
self.assertEqual(result, 1)
result = td // np.timedelta64(1, 's')
self.assertEqual(result, 93600)
result = td // np.timedelta64(1, 'ns')
self.assertEqual(result, td.value)
def test_fields(self):
def check(value):
# that we are int/long like
self.assertTrue(isinstance(value, (int, compat.long)))
# compat to datetime.timedelta
rng = to_timedelta('1 days, 10:11:12')
self.assertEqual(rng.days, 1)
self.assertEqual(rng.seconds, 10 * 3600 + 11 * 60 + 12)
self.assertEqual(rng.microseconds, 0)
self.assertEqual(rng.nanoseconds, 0)
pytest.raises(AttributeError, lambda: rng.hours)
pytest.raises(AttributeError, lambda: rng.minutes)
pytest.raises(AttributeError, lambda: rng.milliseconds)
# GH 10050
check(rng.days)
check(rng.seconds)
check(rng.microseconds)
check(rng.nanoseconds)
td = Timedelta('-1 days, 10:11:12')
self.assertEqual(abs(td), Timedelta('13:48:48'))
self.assertTrue(str(td) == "-1 days +10:11:12")
self.assertEqual(-td, Timedelta('0 days 13:48:48'))
self.assertEqual(-Timedelta('-1 days, 10:11:12').value, 49728000000000)
self.assertEqual(Timedelta('-1 days, 10:11:12').value, -49728000000000)
rng = to_timedelta('-1 days, 10:11:12.100123456')
self.assertEqual(rng.days, -1)
self.assertEqual(rng.seconds, 10 * 3600 + 11 * 60 + 12)
self.assertEqual(rng.microseconds, 100 * 1000 + 123)
self.assertEqual(rng.nanoseconds, 456)
pytest.raises(AttributeError, lambda: rng.hours)
pytest.raises(AttributeError, lambda: rng.minutes)
pytest.raises(AttributeError, lambda: rng.milliseconds)
# components
tup = pd.to_timedelta(-1, 'us').components
self.assertEqual(tup.days, -1)
self.assertEqual(tup.hours, 23)
self.assertEqual(tup.minutes, 59)
self.assertEqual(tup.seconds, 59)
self.assertEqual(tup.milliseconds, 999)
self.assertEqual(tup.microseconds, 999)
self.assertEqual(tup.nanoseconds, 0)
# GH 10050
check(tup.days)
check(tup.hours)
check(tup.minutes)
check(tup.seconds)
check(tup.milliseconds)
check(tup.microseconds)
check(tup.nanoseconds)
tup = Timedelta('-1 days 1 us').components
self.assertEqual(tup.days, -2)
self.assertEqual(tup.hours, 23)
self.assertEqual(tup.minutes, 59)
self.assertEqual(tup.seconds, 59)
self.assertEqual(tup.milliseconds, 999)
self.assertEqual(tup.microseconds, 999)
self.assertEqual(tup.nanoseconds, 0)
def test_nat_converters(self):
self.assertEqual(to_timedelta(
'nat', box=False).astype('int64'), iNaT)
self.assertEqual(to_timedelta(
'nan', box=False).astype('int64'), iNaT)
def testit(unit, transform):
# array
result = to_timedelta(np.arange(5), unit=unit)
expected = TimedeltaIndex([np.timedelta64(i, transform(unit))
for i in np.arange(5).tolist()])
tm.assert_index_equal(result, expected)
# scalar
result = to_timedelta(2, unit=unit)
expected = Timedelta(np.timedelta64(2, transform(unit)).astype(
'timedelta64[ns]'))
self.assertEqual(result, expected)
# validate all units
# GH 6855
for unit in ['Y', 'M', 'W', 'D', 'y', 'w', 'd']:
testit(unit, lambda x: x.upper())
for unit in ['days', 'day', 'Day', 'Days']:
testit(unit, lambda x: 'D')
for unit in ['h', 'm', 's', 'ms', 'us', 'ns', 'H', 'S', 'MS', 'US',
'NS']:
testit(unit, lambda x: x.lower())
# offsets
# m
testit('T', lambda x: 'm')
# ms
testit('L', lambda x: 'ms')
def test_numeric_conversions(self):
self.assertEqual(ct(0), np.timedelta64(0, 'ns'))
self.assertEqual(ct(10), np.timedelta64(10, 'ns'))
self.assertEqual(ct(10, unit='ns'), np.timedelta64(
10, 'ns').astype('m8[ns]'))
self.assertEqual(ct(10, unit='us'), np.timedelta64(
10, 'us').astype('m8[ns]'))
self.assertEqual(ct(10, unit='ms'), np.timedelta64(
10, 'ms').astype('m8[ns]'))
self.assertEqual(ct(10, unit='s'), np.timedelta64(
10, 's').astype('m8[ns]'))
self.assertEqual(ct(10, unit='d'), np.timedelta64(
10, 'D').astype('m8[ns]'))
def test_timedelta_conversions(self):
self.assertEqual(ct(timedelta(seconds=1)),
np.timedelta64(1, 's').astype('m8[ns]'))
self.assertEqual(ct(timedelta(microseconds=1)),
np.timedelta64(1, 'us').astype('m8[ns]'))
self.assertEqual(ct(timedelta(days=1)),
np.timedelta64(1, 'D').astype('m8[ns]'))
def test_round(self):
t1 = Timedelta('1 days 02:34:56.789123456')
t2 = Timedelta('-1 days 02:34:56.789123456')
for (freq, s1, s2) in [('N', t1, t2),
('U', Timedelta('1 days 02:34:56.789123000'),
Timedelta('-1 days 02:34:56.789123000')),
('L', Timedelta('1 days 02:34:56.789000000'),
Timedelta('-1 days 02:34:56.789000000')),
('S', Timedelta('1 days 02:34:57'),
Timedelta('-1 days 02:34:57')),
('2S', Timedelta('1 days 02:34:56'),
Timedelta('-1 days 02:34:56')),
('5S', Timedelta('1 days 02:34:55'),
Timedelta('-1 days 02:34:55')),
('T', Timedelta('1 days 02:35:00'),
Timedelta('-1 days 02:35:00')),
('12T', Timedelta('1 days 02:36:00'),
Timedelta('-1 days 02:36:00')),
('H', Timedelta('1 days 03:00:00'),
Timedelta('-1 days 03:00:00')),
('d', Timedelta('1 days'),
Timedelta('-1 days'))]:
r1 = t1.round(freq)
self.assertEqual(r1, s1)
r2 = t2.round(freq)
self.assertEqual(r2, s2)
# invalid
for freq in ['Y', 'M', 'foobar']:
pytest.raises(ValueError, lambda: t1.round(freq))
t1 = timedelta_range('1 days', periods=3, freq='1 min 2 s 3 us')
t2 = -1 * t1
t1a = timedelta_range('1 days', periods=3, freq='1 min 2 s')
t1c = pd.TimedeltaIndex([1, 1, 1], unit='D')
# note that negative times round DOWN! so don't give whole numbers
for (freq, s1, s2) in [('N', t1, t2),
('U', t1, t2),
('L', t1a,
TimedeltaIndex(['-1 days +00:00:00',
'-2 days +23:58:58',
'-2 days +23:57:56'],
dtype='timedelta64[ns]',
freq=None)
),
('S', t1a,
TimedeltaIndex(['-1 days +00:00:00',
'-2 days +23:58:58',
'-2 days +23:57:56'],
dtype='timedelta64[ns]',
freq=None)
),
('12T', t1c,
TimedeltaIndex(['-1 days',
'-1 days',
'-1 days'],
dtype='timedelta64[ns]',
freq=None)
),
('H', t1c,
TimedeltaIndex(['-1 days',
'-1 days',
'-1 days'],
dtype='timedelta64[ns]',
freq=None)
),
('d', t1c,
pd.TimedeltaIndex([-1, -1, -1], unit='D')
)]:
r1 = t1.round(freq)
tm.assert_index_equal(r1, s1)
r2 = t2.round(freq)
tm.assert_index_equal(r2, s2)
# invalid
for freq in ['Y', 'M', 'foobar']:
pytest.raises(ValueError, lambda: t1.round(freq))
def test_contains(self):
# Checking for any NaT-like objects
# GH 13603
td = to_timedelta(range(5), unit='d') + pd.offsets.Hour(1)
for v in [pd.NaT, None, float('nan'), np.nan]:
self.assertFalse((v in td))
td = to_timedelta([pd.NaT])
for v in [pd.NaT, None, float('nan'), np.nan]:
self.assertTrue((v in td))
def test_identity(self):
td = Timedelta(10, unit='d')
self.assertTrue(isinstance(td, Timedelta))
self.assertTrue(isinstance(td, timedelta))
def test_short_format_converters(self):
def conv(v):
return v.astype('m8[ns]')
self.assertEqual(ct('10'), np.timedelta64(10, 'ns'))
self.assertEqual(ct('10ns'), np.timedelta64(10, 'ns'))
self.assertEqual(ct('100'), np.timedelta64(100, 'ns'))
self.assertEqual(ct('100ns'), np.timedelta64(100, 'ns'))
self.assertEqual(ct('1000'), np.timedelta64(1000, 'ns'))
self.assertEqual(ct('1000ns'), np.timedelta64(1000, 'ns'))
self.assertEqual(ct('1000NS'), np.timedelta64(1000, 'ns'))
self.assertEqual(ct('10us'), np.timedelta64(10000, 'ns'))
self.assertEqual(ct('100us'), np.timedelta64(100000, 'ns'))
self.assertEqual(ct('1000us'), np.timedelta64(1000000, 'ns'))
self.assertEqual(ct('1000Us'), np.timedelta64(1000000, 'ns'))
self.assertEqual(ct('1000uS'), np.timedelta64(1000000, 'ns'))
self.assertEqual(ct('1ms'), np.timedelta64(1000000, 'ns'))
self.assertEqual(ct('10ms'), np.timedelta64(10000000, 'ns'))
self.assertEqual(ct('100ms'), np.timedelta64(100000000, 'ns'))
self.assertEqual(ct('1000ms'), np.timedelta64(1000000000, 'ns'))
self.assertEqual(ct('-1s'), -np.timedelta64(1000000000, 'ns'))
self.assertEqual(ct('1s'), np.timedelta64(1000000000, 'ns'))
self.assertEqual(ct('10s'), np.timedelta64(10000000000, 'ns'))
self.assertEqual(ct('100s'), np.timedelta64(100000000000, 'ns'))
self.assertEqual(ct('1000s'), np.timedelta64(1000000000000, 'ns'))
self.assertEqual(ct('1d'), conv(np.timedelta64(1, 'D')))
self.assertEqual(ct('-1d'), -conv(np.timedelta64(1, 'D')))
self.assertEqual(ct('1D'), conv(np.timedelta64(1, 'D')))
self.assertEqual(ct('10D'), conv(np.timedelta64(10, 'D')))
self.assertEqual(ct('100D'), conv(np.timedelta64(100, 'D')))
self.assertEqual(ct('1000D'), conv(np.timedelta64(1000, 'D')))
self.assertEqual(ct('10000D'), conv(np.timedelta64(10000, 'D')))
# space
self.assertEqual(ct(' 10000D '), conv(np.timedelta64(10000, 'D')))
self.assertEqual(ct(' - 10000D '), -conv(np.timedelta64(10000, 'D')))
# invalid
pytest.raises(ValueError, ct, '1foo')
pytest.raises(ValueError, ct, 'foo')
def test_full_format_converters(self):
def conv(v):
return v.astype('m8[ns]')
d1 = np.timedelta64(1, 'D')
self.assertEqual(ct('1days'), conv(d1))
self.assertEqual(ct('1days,'), conv(d1))
self.assertEqual(ct('- 1days,'), -conv(d1))
self.assertEqual(ct('00:00:01'), conv(np.timedelta64(1, 's')))
self.assertEqual(ct('06:00:01'), conv(
np.timedelta64(6 * 3600 + 1, 's')))
self.assertEqual(ct('06:00:01.0'), conv(
np.timedelta64(6 * 3600 + 1, 's')))
self.assertEqual(ct('06:00:01.01'), conv(
np.timedelta64(1000 * (6 * 3600 + 1) + 10, 'ms')))
self.assertEqual(ct('- 1days, 00:00:01'),
conv(-d1 + np.timedelta64(1, 's')))
self.assertEqual(ct('1days, 06:00:01'), conv(
d1 + np.timedelta64(6 * 3600 + 1, 's')))
self.assertEqual(ct('1days, 06:00:01.01'), conv(
d1 + np.timedelta64(1000 * (6 * 3600 + 1) + 10, 'ms')))
# invalid
pytest.raises(ValueError, ct, '- 1days, 00')
def test_overflow(self):
# GH 9442
s = Series(pd.date_range('20130101', periods=100000, freq='H'))
s[0] += pd.Timedelta('1s 1ms')
# mean
result = (s - s.min()).mean()
expected = pd.Timedelta((pd.DatetimeIndex((s - s.min())).asi8 / len(s)
).sum())
# the computation is converted to float so might be some loss of
# precision
self.assertTrue(np.allclose(result.value / 1000, expected.value /
1000))
# sum
pytest.raises(ValueError, lambda: (s - s.min()).sum())
s1 = s[0:10000]
pytest.raises(ValueError, lambda: (s1 - s1.min()).sum())
s2 = s[0:1000]
result = (s2 - s2.min()).sum()
def test_pickle(self):
v = Timedelta('1 days 10:11:12.0123456')
v_p = tm.round_trip_pickle(v)
self.assertEqual(v, v_p)
def test_timedelta_hash_equality(self):
# GH 11129
v = Timedelta(1, 'D')
td = timedelta(days=1)
self.assertEqual(hash(v), hash(td))
d = {td: 2}
self.assertEqual(d[v], 2)
tds = timedelta_range('1 second', periods=20)
self.assertTrue(all(hash(td) == hash(td.to_pytimedelta()) for td in
tds))
# python timedeltas drop ns resolution
ns_td = Timedelta(1, 'ns')
self.assertNotEqual(hash(ns_td), hash(ns_td.to_pytimedelta()))
def test_implementation_limits(self):
min_td = Timedelta(Timedelta.min)
max_td = Timedelta(Timedelta.max)
# GH 12727
# timedelta limits correspond to int64 boundaries
assert min_td.value == np.iinfo(np.int64).min + 1
assert max_td.value == np.iinfo(np.int64).max
# Beyond lower limit, a NAT before the Overflow
assert isinstance(min_td - Timedelta(1, 'ns'), NaTType)
with pytest.raises(OverflowError):
min_td - Timedelta(2, 'ns')
with pytest.raises(OverflowError):
max_td + Timedelta(1, 'ns')
# Same tests using the internal nanosecond values
td = Timedelta(min_td.value - 1, 'ns')
assert isinstance(td, NaTType)
with pytest.raises(OverflowError):
Timedelta(min_td.value - 2, 'ns')
with pytest.raises(OverflowError):
Timedelta(max_td.value + 1, 'ns')
def test_timedelta_arithmetic(self):
data = pd.Series(['nat', '32 days'], dtype='timedelta64[ns]')
deltas = [timedelta(days=1), Timedelta(1, unit='D')]
for delta in deltas:
result_method = data.add(delta)
result_operator = data + delta
expected = pd.Series(['nat', '33 days'], dtype='timedelta64[ns]')
tm.assert_series_equal(result_operator, expected)
tm.assert_series_equal(result_method, expected)
result_method = data.sub(delta)
result_operator = data - delta
expected = pd.Series(['nat', '31 days'], dtype='timedelta64[ns]')
tm.assert_series_equal(result_operator, expected)
tm.assert_series_equal(result_method, expected)
# GH 9396
result_method = data.div(delta)
result_operator = data / delta
expected = pd.Series([np.nan, 32.], dtype='float64')
tm.assert_series_equal(result_operator, expected)
tm.assert_series_equal(result_method, expected)
def test_apply_to_timedelta(self):
timedelta_NaT = pd.to_timedelta('NaT')
list_of_valid_strings = ['00:00:01', '00:00:02']
a = pd.to_timedelta(list_of_valid_strings)
b = Series(list_of_valid_strings).apply(pd.to_timedelta)
# Can't compare until apply on a Series gives the correct dtype
# assert_series_equal(a, b)
list_of_strings = ['00:00:01', np.nan, pd.NaT, timedelta_NaT]
# TODO: unused?
a = pd.to_timedelta(list_of_strings) # noqa
b = Series(list_of_strings).apply(pd.to_timedelta) # noqa
# Can't compare until apply on a Series gives the correct dtype
# assert_series_equal(a, b)
def test_components(self):
rng = timedelta_range('1 days, 10:11:12', periods=2, freq='s')
rng.components
# with nat
s = Series(rng)
s[1] = np.nan
result = s.dt.components
self.assertFalse(result.iloc[0].isnull().all())
self.assertTrue(result.iloc[1].isnull().all())
def test_isoformat(self):
td = Timedelta(days=6, minutes=50, seconds=3,
milliseconds=10, microseconds=10, nanoseconds=12)
expected = 'P6DT0H50M3.010010012S'
result = td.isoformat()
self.assertEqual(result, expected)
td = Timedelta(days=4, hours=12, minutes=30, seconds=5)
result = td.isoformat()
expected = 'P4DT12H30M5S'
self.assertEqual(result, expected)
td = Timedelta(nanoseconds=123)
result = td.isoformat()
expected = 'P0DT0H0M0.000000123S'
self.assertEqual(result, expected)
# trim nano
td = Timedelta(microseconds=10)
result = td.isoformat()
expected = 'P0DT0H0M0.00001S'
self.assertEqual(result, expected)
# trim micro
td = Timedelta(milliseconds=1)
result = td.isoformat()
expected = 'P0DT0H0M0.001S'
self.assertEqual(result, expected)
# don't strip every 0
result = Timedelta(minutes=1).isoformat()
expected = 'P0DT0H1M0S'
self.assertEqual(result, expected)
def test_ops_error_str(self):
# GH 13624
td = Timedelta('1 day')
for l, r in [(td, 'a'), ('a', td)]:
with pytest.raises(TypeError):
l + r
with pytest.raises(TypeError):
l > r
self.assertFalse(l == r)
self.assertTrue(l != r)