laywerrobot/lib/python3.6/site-packages/pandas/tests/scalar/timedelta/test_timedelta.py
2020-08-27 21:55:39 +02:00

604 lines
22 KiB
Python

""" 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, NaT
class TestTimedeltaArithmetic(object):
def test_arithmetic_overflow(self):
with pytest.raises(OverflowError):
pd.Timestamp('1700-01-01') + pd.Timedelta(13 * 19999, unit='D')
with pytest.raises(OverflowError):
pd.Timestamp('1700-01-01') + timedelta(days=13 * 19999)
def test_array_timedelta_floordiv(self):
# https://github.com/pandas-dev/pandas/issues/19761
ints = pd.date_range('2012-10-08', periods=4, freq='D').view('i8')
msg = r"Use 'array // timedelta.value'"
with tm.assert_produces_warning(FutureWarning) as m:
result = ints // pd.Timedelta(1, unit='s')
assert msg in str(m[0].message)
expected = np.array([1349654400, 1349740800, 1349827200, 1349913600],
dtype='i8')
tm.assert_numpy_array_equal(result, expected)
def test_ops_error_str(self):
# GH 13624
td = Timedelta('1 day')
for left, right in [(td, 'a'), ('a', td)]:
with pytest.raises(TypeError):
left + right
with pytest.raises(TypeError):
left > right
assert not left == right
assert left != right
def test_ops_notimplemented(self):
class Other(object):
pass
other = Other()
td = Timedelta('1 day')
assert td.__add__(other) is NotImplemented
assert td.__sub__(other) is NotImplemented
assert td.__truediv__(other) is NotImplemented
assert td.__mul__(other) is NotImplemented
assert td.__floordiv__(other) is NotImplemented
def test_unary_ops(self):
td = Timedelta(10, unit='d')
# __neg__, __pos__
assert -td == Timedelta(-10, unit='d')
assert -td == Timedelta('-10d')
assert +td == Timedelta(10, unit='d')
# __abs__, __abs__(__neg__)
assert abs(td) == td
assert abs(-td) == td
assert abs(-td) == Timedelta('10d')
class TestTimedeltaComparison(object):
def test_comparison_object_array(self):
# analogous to GH#15183
td = Timedelta('2 days')
other = Timedelta('3 hours')
arr = np.array([other, td], dtype=object)
res = arr == td
expected = np.array([False, True], dtype=bool)
assert (res == expected).all()
# 2D case
arr = np.array([[other, td],
[td, other]],
dtype=object)
res = arr != td
expected = np.array([[True, False], [False, True]], dtype=bool)
assert res.shape == expected.shape
assert (res == expected).all()
def test_compare_timedelta_ndarray(self):
# GH11835
periods = [Timedelta('0 days 01:00:00'), Timedelta('0 days 01:00:00')]
arr = np.array(periods)
result = arr[0] > arr
expected = np.array([False, False])
tm.assert_numpy_array_equal(result, expected)
class TestTimedeltas(object):
@pytest.mark.parametrize("unit, value, expected", [
('us', 9.999, 9999), ('ms', 9.999999, 9999999),
('s', 9.999999999, 9999999999)])
def test_rounding_on_int_unit_construction(self, unit, value, expected):
# GH 12690
result = Timedelta(value, unit=unit)
assert result.value == expected
result = Timedelta(str(value) + unit)
assert result.value == expected
def test_total_seconds_scalar(self):
# see 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)
assert np.isnan(rng.total_seconds())
def test_conversion(self):
for td in [Timedelta(10, unit='d'),
Timedelta('1 days, 10:11:12.012345')]:
pydt = td.to_pytimedelta()
assert td == Timedelta(pydt)
assert td == pydt
assert (isinstance(pydt, timedelta) and not isinstance(
pydt, Timedelta))
assert td == np.timedelta64(td.value, 'ns')
td64 = td.to_timedelta64()
assert td64 == np.timedelta64(td.value, 'ns')
assert td == td64
assert isinstance(td64, np.timedelta64)
# this is NOT equal and cannot be roundtriped (because of the nanos)
td = Timedelta('1 days, 10:11:12.012345678')
assert td != td.to_pytimedelta()
def test_freq_conversion(self):
# truediv
td = Timedelta('1 days 2 hours 3 ns')
result = td / np.timedelta64(1, 'D')
assert result == td.value / float(86400 * 1e9)
result = td / np.timedelta64(1, 's')
assert result == td.value / float(1e9)
result = td / np.timedelta64(1, 'ns')
assert result == td.value
# floordiv
td = Timedelta('1 days 2 hours 3 ns')
result = td // np.timedelta64(1, 'D')
assert result == 1
result = td // np.timedelta64(1, 's')
assert result == 93600
result = td // np.timedelta64(1, 'ns')
assert result == td.value
def test_fields(self):
def check(value):
# that we are int/long like
assert isinstance(value, (int, compat.long))
# compat to datetime.timedelta
rng = to_timedelta('1 days, 10:11:12')
assert rng.days == 1
assert rng.seconds == 10 * 3600 + 11 * 60 + 12
assert rng.microseconds == 0
assert 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')
assert abs(td) == Timedelta('13:48:48')
assert str(td) == "-1 days +10:11:12"
assert -td == Timedelta('0 days 13:48:48')
assert -Timedelta('-1 days, 10:11:12').value == 49728000000000
assert Timedelta('-1 days, 10:11:12').value == -49728000000000
rng = to_timedelta('-1 days, 10:11:12.100123456')
assert rng.days == -1
assert rng.seconds == 10 * 3600 + 11 * 60 + 12
assert rng.microseconds == 100 * 1000 + 123
assert 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
assert tup.days == -1
assert tup.hours == 23
assert tup.minutes == 59
assert tup.seconds == 59
assert tup.milliseconds == 999
assert tup.microseconds == 999
assert 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
assert tup.days == -2
assert tup.hours == 23
assert tup.minutes == 59
assert tup.seconds == 59
assert tup.milliseconds == 999
assert tup.microseconds == 999
assert tup.nanoseconds == 0
def test_nat_converters(self):
assert to_timedelta('nat', box=False).astype('int64') == iNaT
assert 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]'))
assert 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):
assert ct(0) == np.timedelta64(0, 'ns')
assert ct(10) == np.timedelta64(10, 'ns')
assert ct(10, unit='ns') == np.timedelta64(10, 'ns').astype('m8[ns]')
assert ct(10, unit='us') == np.timedelta64(10, 'us').astype('m8[ns]')
assert ct(10, unit='ms') == np.timedelta64(10, 'ms').astype('m8[ns]')
assert ct(10, unit='s') == np.timedelta64(10, 's').astype('m8[ns]')
assert ct(10, unit='d') == np.timedelta64(10, 'D').astype('m8[ns]')
def test_timedelta_conversions(self):
assert (ct(timedelta(seconds=1)) ==
np.timedelta64(1, 's').astype('m8[ns]'))
assert (ct(timedelta(microseconds=1)) ==
np.timedelta64(1, 'us').astype('m8[ns]'))
assert (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)
assert r1 == s1
r2 = t2.round(freq)
assert 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]:
assert not (v in td)
td = to_timedelta([pd.NaT])
for v in [pd.NaT, None, float('nan'), np.nan]:
assert (v in td)
def test_identity(self):
td = Timedelta(10, unit='d')
assert isinstance(td, Timedelta)
assert isinstance(td, timedelta)
def test_short_format_converters(self):
def conv(v):
return v.astype('m8[ns]')
assert ct('10') == np.timedelta64(10, 'ns')
assert ct('10ns') == np.timedelta64(10, 'ns')
assert ct('100') == np.timedelta64(100, 'ns')
assert ct('100ns') == np.timedelta64(100, 'ns')
assert ct('1000') == np.timedelta64(1000, 'ns')
assert ct('1000ns') == np.timedelta64(1000, 'ns')
assert ct('1000NS') == np.timedelta64(1000, 'ns')
assert ct('10us') == np.timedelta64(10000, 'ns')
assert ct('100us') == np.timedelta64(100000, 'ns')
assert ct('1000us') == np.timedelta64(1000000, 'ns')
assert ct('1000Us') == np.timedelta64(1000000, 'ns')
assert ct('1000uS') == np.timedelta64(1000000, 'ns')
assert ct('1ms') == np.timedelta64(1000000, 'ns')
assert ct('10ms') == np.timedelta64(10000000, 'ns')
assert ct('100ms') == np.timedelta64(100000000, 'ns')
assert ct('1000ms') == np.timedelta64(1000000000, 'ns')
assert ct('-1s') == -np.timedelta64(1000000000, 'ns')
assert ct('1s') == np.timedelta64(1000000000, 'ns')
assert ct('10s') == np.timedelta64(10000000000, 'ns')
assert ct('100s') == np.timedelta64(100000000000, 'ns')
assert ct('1000s') == np.timedelta64(1000000000000, 'ns')
assert ct('1d') == conv(np.timedelta64(1, 'D'))
assert ct('-1d') == -conv(np.timedelta64(1, 'D'))
assert ct('1D') == conv(np.timedelta64(1, 'D'))
assert ct('10D') == conv(np.timedelta64(10, 'D'))
assert ct('100D') == conv(np.timedelta64(100, 'D'))
assert ct('1000D') == conv(np.timedelta64(1000, 'D'))
assert ct('10000D') == conv(np.timedelta64(10000, 'D'))
# space
assert ct(' 10000D ') == conv(np.timedelta64(10000, 'D'))
assert 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')
assert ct('1days') == conv(d1)
assert ct('1days,') == conv(d1)
assert ct('- 1days,') == -conv(d1)
assert ct('00:00:01') == conv(np.timedelta64(1, 's'))
assert ct('06:00:01') == conv(np.timedelta64(6 * 3600 + 1, 's'))
assert ct('06:00:01.0') == conv(np.timedelta64(6 * 3600 + 1, 's'))
assert ct('06:00:01.01') == conv(np.timedelta64(
1000 * (6 * 3600 + 1) + 10, 'ms'))
assert (ct('- 1days, 00:00:01') ==
conv(-d1 + np.timedelta64(1, 's')))
assert (ct('1days, 06:00:01') ==
conv(d1 + np.timedelta64(6 * 3600 + 1, 's')))
assert (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
assert 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)
assert v == v_p
def test_timedelta_hash_equality(self):
# GH 11129
v = Timedelta(1, 'D')
td = timedelta(days=1)
assert hash(v) == hash(td)
d = {td: 2}
assert d[v] == 2
tds = timedelta_range('1 second', periods=20)
assert all(hash(td) == hash(td.to_pytimedelta()) for td in tds)
# python timedeltas drop ns resolution
ns_td = Timedelta(1, 'ns')
assert 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 (min_td - Timedelta(1, 'ns')) is NaT
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 td is NaT
with pytest.raises(OverflowError):
Timedelta(min_td.value - 2, 'ns')
with pytest.raises(OverflowError):
Timedelta(max_td.value + 1, 'ns')
def test_total_seconds_precision(self):
# GH 19458
assert Timedelta('30S').total_seconds() == 30.0
assert Timedelta('0').total_seconds() == 0.0
assert Timedelta('-2S').total_seconds() == -2.0
assert Timedelta('5.324S').total_seconds() == 5.324
assert (Timedelta('30S').total_seconds() - 30.0) < 1e-20
assert (30.0 - Timedelta('30S').total_seconds()) < 1e-20
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
assert not result.iloc[0].isna().all()
assert result.iloc[1].isna().all()
@pytest.mark.parametrize('value, expected', [
(Timedelta('10S'), True),
(Timedelta('-10S'), True),
(Timedelta(10, unit='ns'), True),
(Timedelta(0, unit='ns'), False),
(Timedelta(-10, unit='ns'), True),
(Timedelta(None), True),
(pd.NaT, True),
])
def test_truthiness(value, expected):
# https://github.com/pandas-dev/pandas/issues/21484
assert bool(value) is expected