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test_timedeltas.py
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# pylint: disable-msg=E1101,W0612
from __future__ import division
from datetime import datetime, timedelta, time
import nose
from distutils.version import LooseVersion
import numpy as np
import pandas as pd
from pandas import (Index, Series, DataFrame, Timestamp, Timedelta, TimedeltaIndex, isnull, notnull,
bdate_range, date_range, timedelta_range, Int64Index)
import pandas.core.common as com
from pandas.compat import StringIO, lrange, range, zip, u, OrderedDict, long, PY3_2
from pandas import compat, to_timedelta, tslib
from pandas.tseries.timedeltas import _coerce_scalar_to_timedelta_type as ct
from pandas.util.testing import (assert_series_equal,
assert_frame_equal,
assert_almost_equal,
assert_index_equal,
ensure_clean)
from pandas.tseries.offsets import Day, Second, Hour
import pandas.util.testing as tm
from numpy.random import rand, randn
from pandas import _np_version_under1p8
iNaT = tslib.iNaT
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)))
# more strings
# GH 8190
self.assertEqual(Timedelta('1 h'), timedelta(hours=1))
self.assertEqual(Timedelta('1 hour'), 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)
self.assertRaises(ValueError, lambda : Timedelta('-10 days -1 h 1.5m 1s 3us'))
# 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)
# nat
self.assertEqual(Timedelta('').value,iNaT)
self.assertEqual(Timedelta('nat').value,iNaT)
self.assertEqual(Timedelta('NAT').value,iNaT)
self.assertTrue(isnull(Timestamp('nat')))
self.assertTrue(isnull(Timedelta('nat')))
# 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'))
# invalid
tm.assertRaisesRegexp(ValueError,
"cannot construct a TimeDelta",
lambda : Timedelta())
tm.assertRaisesRegexp(ValueError,
"cannot create timedelta string convert",
lambda : Timedelta('foo'))
tm.assertRaisesRegexp(ValueError,
"cannot construct a TimeDelta from the passed arguments, allowed keywords are ",
lambda : Timedelta(day=10))
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_identity(self):
td = Timedelta(10,unit='d')
self.assertTrue(isinstance(td, Timedelta))
self.assertTrue(isinstance(td, timedelta))
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_ops(self):
td = Timedelta(10,unit='d')
self.assertEqual(-td,Timedelta(-10,unit='d'))
self.assertEqual(+td,Timedelta(10,unit='d'))
self.assertEqual(td - td, Timedelta(0,unit='ns'))
self.assertTrue((td - pd.NaT) is pd.NaT)
self.assertEqual(td + td, Timedelta(20,unit='d'))
self.assertTrue((td + pd.NaT) is pd.NaT)
self.assertEqual(td * 2, Timedelta(20,unit='d'))
self.assertTrue((td * pd.NaT) is pd.NaT)
self.assertEqual(td / 2, Timedelta(5,unit='d'))
self.assertEqual(abs(td), td)
self.assertEqual(abs(-td), td)
self.assertEqual(td / td, 1)
self.assertTrue((td / pd.NaT) is pd.NaT)
# invert
self.assertEqual(-td,Timedelta('-10d'))
self.assertEqual(td * -1,Timedelta('-10d'))
self.assertEqual(-1 * td,Timedelta('-10d'))
self.assertEqual(abs(-td),Timedelta('10d'))
# invalid
self.assertRaises(TypeError, lambda : Timedelta(11,unit='d') // 2)
# invalid multiply with another timedelta
self.assertRaises(TypeError, lambda : td * td)
# can't operate with integers
self.assertRaises(TypeError, lambda : td + 2)
self.assertRaises(TypeError, lambda : td - 2)
def test_ops_offsets(self):
td = Timedelta(10, unit='d')
self.assertEqual(Timedelta(241, unit='h'), td + pd.offsets.Hour(1))
self.assertEqual(Timedelta(241, unit='h'), pd.offsets.Hour(1) + td)
self.assertEqual(240, td / pd.offsets.Hour(1))
self.assertEqual(1 / 240.0, pd.offsets.Hour(1) / td)
self.assertEqual(Timedelta(239, unit='h'), td - pd.offsets.Hour(1))
self.assertEqual(Timedelta(-239, unit='h'), pd.offsets.Hour(1) - td)
def test_freq_conversion(self):
td = Timedelta('1 days 2 hours 3 ns')
result = td / np.timedelta64(1,'D')
self.assertEquals(result, td.value/float(86400*1e9))
result = td / np.timedelta64(1,'s')
self.assertEquals(result, td.value/float(1e9))
result = td / np.timedelta64(1,'ns')
self.assertEquals(result, td.value)
def test_ops_ndarray(self):
td = Timedelta('1 day')
# timedelta, timedelta
other = pd.to_timedelta(['1 day']).values
expected = pd.to_timedelta(['2 days']).values
self.assert_numpy_array_equal(td + other, expected)
if LooseVersion(np.__version__) >= '1.8':
self.assert_numpy_array_equal(other + td, expected)
self.assertRaises(TypeError, lambda: td + np.array([1]))
self.assertRaises(TypeError, lambda: np.array([1]) + td)
expected = pd.to_timedelta(['0 days']).values
self.assert_numpy_array_equal(td - other, expected)
if LooseVersion(np.__version__) >= '1.8':
self.assert_numpy_array_equal(-other + td, expected)
self.assertRaises(TypeError, lambda: td - np.array([1]))
self.assertRaises(TypeError, lambda: np.array([1]) - td)
expected = pd.to_timedelta(['2 days']).values
self.assert_numpy_array_equal(td * np.array([2]), expected)
self.assert_numpy_array_equal(np.array([2]) * td, expected)
self.assertRaises(TypeError, lambda: td * other)
self.assertRaises(TypeError, lambda: other * td)
self.assert_numpy_array_equal(td / other, np.array([1]))
if LooseVersion(np.__version__) >= '1.8':
self.assert_numpy_array_equal(other / td, np.array([1]))
# timedelta, datetime
other = pd.to_datetime(['2000-01-01']).values
expected = pd.to_datetime(['2000-01-02']).values
self.assert_numpy_array_equal(td + other, expected)
if LooseVersion(np.__version__) >= '1.8':
self.assert_numpy_array_equal(other + td, expected)
expected = pd.to_datetime(['1999-12-31']).values
self.assert_numpy_array_equal(-td + other, expected)
if LooseVersion(np.__version__) >= '1.8':
self.assert_numpy_array_equal(other - td, expected)
def test_ops_series(self):
# regression test for GH8813
td = Timedelta('1 day')
other = pd.Series([1, 2])
expected = pd.Series(pd.to_timedelta(['1 day', '2 days']))
tm.assert_series_equal(expected, td * other)
tm.assert_series_equal(expected, other * td)
def test_compare_timedelta_series(self):
# regresssion test for GH5963
s = pd.Series([timedelta(days=1), timedelta(days=2)])
actual = s > timedelta(days=1)
expected = pd.Series([False, True])
tm.assert_series_equal(actual, expected)
def test_ops_notimplemented(self):
class Other:
pass
other = Other()
td = Timedelta('1 day')
self.assertTrue(td.__add__(other) is NotImplemented)
self.assertTrue(td.__sub__(other) is NotImplemented)
self.assertTrue(td.__truediv__(other) is NotImplemented)
self.assertTrue(td.__mul__(other) is NotImplemented)
self.assertTrue(td.__floordiv__(td) is NotImplemented)
def test_fields(self):
# 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)
self.assertRaises(AttributeError, lambda : rng.hours)
self.assertRaises(AttributeError, lambda : rng.minutes)
self.assertRaises(AttributeError, lambda : rng.milliseconds)
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)
self.assertRaises(AttributeError, lambda : rng.hours)
self.assertRaises(AttributeError, lambda : rng.minutes)
self.assertRaises(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)
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_timedelta_range(self):
expected = to_timedelta(np.arange(5),unit='D')
result = timedelta_range('0 days',periods=5,freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(11),unit='D')
result = timedelta_range('0 days','10 days',freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(5),unit='D') + Second(2) + Day()
result = timedelta_range('1 days, 00:00:02','5 days, 00:00:02',freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta([1,3,5,7,9],unit='D') + Second(2)
result = timedelta_range('1 days, 00:00:02',periods=5,freq='2D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(50),unit='T')*30
result = timedelta_range('0 days',freq='30T',periods=50)
tm.assert_index_equal(result, expected)
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_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
self.assertRaises(ValueError, ct, '1foo')
self.assertRaises(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
self.assertRaises(ValueError, ct, '- 1days, 00')
def test_nat_converters(self):
self.assertEqual(to_timedelta('nat',box=False).astype('int64'), tslib.iNaT)
self.assertEqual(to_timedelta('nan',box=False).astype('int64'), tslib.iNaT)
def test_to_timedelta(self):
def conv(v):
return v.astype('m8[ns]')
d1 = np.timedelta64(1,'D')
self.assertEqual(to_timedelta('1 days 06:05:01.00003',box=False), conv(d1+np.timedelta64(6*3600+5*60+1,'s')+np.timedelta64(30,'us')))
self.assertEqual(to_timedelta('15.5us',box=False), conv(np.timedelta64(15500,'ns')))
# empty string
result = to_timedelta('',box=False)
self.assertEqual(result.astype('int64'), tslib.iNaT)
result = to_timedelta(['', ''])
self.assertTrue(isnull(result).all())
# pass thru
result = to_timedelta(np.array([np.timedelta64(1,'s')]))
expected = np.array([np.timedelta64(1,'s')])
tm.assert_almost_equal(result,expected)
# ints
result = np.timedelta64(0,'ns')
expected = to_timedelta(0,box=False)
self.assertEqual(result, expected)
# Series
expected = Series([timedelta(days=1), timedelta(days=1, seconds=1)])
result = to_timedelta(Series(['1d','1days 00:00:01']))
tm.assert_series_equal(result, expected)
# with units
result = TimedeltaIndex([ np.timedelta64(0,'ns'), np.timedelta64(10,'s').astype('m8[ns]') ])
expected = to_timedelta([0,10],unit='s')
tm.assert_index_equal(result, expected)
# single element conversion
v = timedelta(seconds=1)
result = to_timedelta(v,box=False)
expected = np.timedelta64(timedelta(seconds=1))
self.assertEqual(result, expected)
v = np.timedelta64(timedelta(seconds=1))
result = to_timedelta(v,box=False)
expected = np.timedelta64(timedelta(seconds=1))
self.assertEqual(result, expected)
# arrays of various dtypes
arr = np.array([1]*5,dtype='int64')
result = to_timedelta(arr,unit='s')
expected = TimedeltaIndex([ np.timedelta64(1,'s') ]*5)
tm.assert_index_equal(result, expected)
arr = np.array([1]*5,dtype='int64')
result = to_timedelta(arr,unit='m')
expected = TimedeltaIndex([ np.timedelta64(1,'m') ]*5)
tm.assert_index_equal(result, expected)
arr = np.array([1]*5,dtype='int64')
result = to_timedelta(arr,unit='h')
expected = TimedeltaIndex([ np.timedelta64(1,'h') ]*5)
tm.assert_index_equal(result, expected)
arr = np.array([1]*5,dtype='timedelta64[s]')
result = to_timedelta(arr)
expected = TimedeltaIndex([ np.timedelta64(1,'s') ]*5)
tm.assert_index_equal(result, expected)
arr = np.array([1]*5,dtype='timedelta64[D]')
result = to_timedelta(arr)
expected = TimedeltaIndex([ np.timedelta64(1,'D') ]*5)
tm.assert_index_equal(result, expected)
# Test with lists as input when box=false
expected = np.array(np.arange(3)*1000000000, dtype='timedelta64[ns]')
result = to_timedelta(range(3), unit='s', box=False)
tm.assert_numpy_array_equal(expected, result)
result = to_timedelta(np.arange(3), unit='s', box=False)
tm.assert_numpy_array_equal(expected, result)
result = to_timedelta([0, 1, 2], unit='s', box=False)
tm.assert_numpy_array_equal(expected, result)
# Tests with fractional seconds as input:
expected = np.array([0, 500000000, 800000000, 1200000000], dtype='timedelta64[ns]')
result = to_timedelta([0., 0.5, 0.8, 1.2], unit='s', box=False)
tm.assert_numpy_array_equal(expected, result)
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')
# these will error
self.assertRaises(ValueError, lambda : to_timedelta([1,2],unit='foo'))
self.assertRaises(ValueError, lambda : to_timedelta(1,unit='foo'))
# time not supported ATM
self.assertRaises(ValueError, lambda :to_timedelta(time(second=1)))
def test_to_timedelta_via_apply(self):
# GH 5458
expected = Series([np.timedelta64(1,'s')])
result = Series(['00:00:01']).apply(to_timedelta)
tm.assert_series_equal(result, expected)
result = Series([to_timedelta('00:00:01')])
tm.assert_series_equal(result, expected)
def test_timedelta_ops(self):
# GH4984
# make sure ops return Timedelta
s = Series([Timestamp('20130101') + timedelta(seconds=i*i) for i in range(10) ])
td = s.diff()
result = td.mean()
expected = to_timedelta(timedelta(seconds=9))
self.assertEqual(result, expected)
result = td.to_frame().mean()
self.assertEqual(result[0], expected)
result = td.quantile(.1)
expected = Timedelta(np.timedelta64(2600,'ms'))
self.assertEqual(result, expected)
result = td.median()
expected = to_timedelta('00:00:08')
self.assertEqual(result, expected)
result = td.to_frame().median()
self.assertEqual(result[0], expected)
# GH 6462
# consistency in returned values for sum
result = td.sum()
expected = to_timedelta('00:01:21')
self.assertEqual(result, expected)
result = td.to_frame().sum()
self.assertEqual(result[0], expected)
# std
result = td.std()
expected = to_timedelta(Series(td.dropna().values).std())
self.assertEqual(result, expected)
result = td.to_frame().std()
self.assertEqual(result[0], expected)
# invalid ops
for op in ['skew','kurt','sem','var','prod']:
self.assertRaises(TypeError, lambda : getattr(td,op)())
def test_timedelta_ops_scalar(self):
# GH 6808
base = pd.to_datetime('20130101 09:01:12.123456')
expected_add = pd.to_datetime('20130101 09:01:22.123456')
expected_sub = pd.to_datetime('20130101 09:01:02.123456')
for offset in [pd.to_timedelta(10,unit='s'),
timedelta(seconds=10),
np.timedelta64(10,'s'),
np.timedelta64(10000000000,'ns'),
pd.offsets.Second(10)]:
result = base + offset
self.assertEqual(result, expected_add)
result = base - offset
self.assertEqual(result, expected_sub)
base = pd.to_datetime('20130102 09:01:12.123456')
expected_add = pd.to_datetime('20130103 09:01:22.123456')
expected_sub = pd.to_datetime('20130101 09:01:02.123456')
for offset in [pd.to_timedelta('1 day, 00:00:10'),
pd.to_timedelta('1 days, 00:00:10'),
timedelta(days=1,seconds=10),
np.timedelta64(1,'D')+np.timedelta64(10,'s'),
pd.offsets.Day()+pd.offsets.Second(10)]:
result = base + offset
self.assertEqual(result, expected_add)
result = base - offset
self.assertEqual(result, expected_sub)
def test_to_timedelta_on_missing_values(self):
# GH5438
timedelta_NaT = np.timedelta64('NaT')
actual = pd.to_timedelta(Series(['00:00:01', np.nan]))
expected = Series([np.timedelta64(1000000000, 'ns'), timedelta_NaT], dtype='<m8[ns]')
assert_series_equal(actual, expected)
actual = pd.to_timedelta(Series(['00:00:01', pd.NaT]))
assert_series_equal(actual, expected)
actual = pd.to_timedelta(np.nan)
self.assertEqual(actual.value, timedelta_NaT.astype('int64'))
actual = pd.to_timedelta(pd.NaT)
self.assertEqual(actual.value, timedelta_NaT.astype('int64'))
def test_to_timedelta_on_nanoseconds(self):
# GH 9273
result = Timedelta(nanoseconds=100)
expected = Timedelta('100ns')
self.assertEqual(result, expected)
result = Timedelta(days=1,hours=1,minutes=1,weeks=1,seconds=1,milliseconds=1,microseconds=1,nanoseconds=1)
expected = Timedelta(694861001001001)
self.assertEqual(result, expected)
result = Timedelta(microseconds=1) + Timedelta(nanoseconds=1)
expected = Timedelta('1us1ns')
self.assertEqual(result, expected)
result = Timedelta(microseconds=1) - Timedelta(nanoseconds=1)
expected = Timedelta('999ns')
self.assertEqual(result, expected)
result = Timedelta(microseconds=1) + 5*Timedelta(nanoseconds=-2)
expected = Timedelta('990ns')
self.assertEqual(result, expected)
self.assertRaises(TypeError, lambda: Timedelta(nanoseconds='abc'))
def test_timedelta_ops_with_missing_values(self):
# setup
s1 = pd.to_timedelta(Series(['00:00:01']))
s2 = pd.to_timedelta(Series(['00:00:02']))
sn = pd.to_timedelta(Series([pd.NaT]))
df1 = DataFrame(['00:00:01']).apply(pd.to_timedelta)
df2 = DataFrame(['00:00:02']).apply(pd.to_timedelta)
dfn = DataFrame([pd.NaT]).apply(pd.to_timedelta)
scalar1 = pd.to_timedelta('00:00:01')
scalar2 = pd.to_timedelta('00:00:02')
timedelta_NaT = pd.to_timedelta('NaT')
NA = np.nan
actual = scalar1 + scalar1
self.assertEqual(actual, scalar2)
actual = scalar2 - scalar1
self.assertEqual(actual, scalar1)
actual = s1 + s1
assert_series_equal(actual, s2)
actual = s2 - s1
assert_series_equal(actual, s1)
actual = s1 + scalar1
assert_series_equal(actual, s2)
actual = s2 - scalar1
assert_series_equal(actual, s1)
actual = s1 + timedelta_NaT
assert_series_equal(actual, sn)
actual = s1 - timedelta_NaT
assert_series_equal(actual, sn)
actual = s1 + NA
assert_series_equal(actual, sn)
actual = s1 - NA
assert_series_equal(actual, sn)
actual = s1 + pd.NaT # NaT is datetime, not timedelta
assert_series_equal(actual, sn)
actual = s2 - pd.NaT
assert_series_equal(actual, sn)
actual = s1 + df1
assert_frame_equal(actual, df2)
actual = s2 - df1
assert_frame_equal(actual, df1)
actual = df1 + s1
assert_frame_equal(actual, df2)
actual = df2 - s1
assert_frame_equal(actual, df1)
actual = df1 + df1
assert_frame_equal(actual, df2)
actual = df2 - df1
assert_frame_equal(actual, df1)
actual = df1 + scalar1
assert_frame_equal(actual, df2)
actual = df2 - scalar1
assert_frame_equal(actual, df1)
actual = df1 + timedelta_NaT
assert_frame_equal(actual, dfn)
actual = df1 - timedelta_NaT
assert_frame_equal(actual, dfn)
actual = df1 + NA
assert_frame_equal(actual, dfn)
actual = df1 - NA
assert_frame_equal(actual, dfn)
actual = df1 + pd.NaT # NaT is datetime, not timedelta
assert_frame_equal(actual, dfn)
actual = df1 - pd.NaT
assert_frame_equal(actual, dfn)
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]
a = pd.to_timedelta(list_of_strings)
b = Series(list_of_strings).apply(pd.to_timedelta)
# Can't compare until apply on a Series gives the correct dtype
# assert_series_equal(a, b)
def test_pickle(self):
v = Timedelta('1 days 10:11:12.0123456')
v_p = self.round_trip_pickle(v)
self.assertEqual(v,v_p)
class TestTimedeltaIndex(tm.TestCase):
_multiprocess_can_split_ = True
def test_pass_TimedeltaIndex_to_index(self):
rng = timedelta_range('1 days','10 days')
idx = Index(rng, dtype=object)
expected = Index(rng.to_pytimedelta(), dtype=object)
self.assert_numpy_array_equal(idx.values, expected.values)
def test_pickle(self):
rng = timedelta_range('1 days', periods=10)
rng_p = self.round_trip_pickle(rng)
tm.assert_index_equal(rng,rng_p)
def test_hash_error(self):
index = timedelta_range('1 days', periods=10)
with tm.assertRaisesRegexp(TypeError,
"unhashable type: %r" %
type(index).__name__):
hash(index)
def test_append_join_nondatetimeindex(self):
rng = timedelta_range('1 days', periods=10)
idx = Index(['a', 'b', 'c', 'd'])
result = rng.append(idx)
tm.assert_isinstance(result[0], Timedelta)
# it works
rng.join(idx, how='outer')
def test_append_numpy_bug_1681(self):
td = timedelta_range('1 days','10 days',freq='2D')
a = DataFrame()
c = DataFrame({'A': 'foo', 'B': td}, index=td)
str(c)
result = a.append(c)
self.assertTrue((result['B'] == td).all())
def test_astype(self):
rng = timedelta_range('1 days', periods=10)
result = rng.astype('i8')
self.assert_numpy_array_equal(result, rng.asi8)
def test_fields(self):
rng = timedelta_range('1 days, 10:11:12.100123456', periods=2, freq='s')
self.assert_numpy_array_equal(rng.days, np.array([1,1],dtype='int64'))
self.assert_numpy_array_equal(rng.seconds, np.array([10*3600+11*60+12,10*3600+11*60+13],dtype='int64'))
self.assert_numpy_array_equal(rng.microseconds, np.array([100*1000+123,100*1000+123],dtype='int64'))
self.assert_numpy_array_equal(rng.nanoseconds, np.array([456,456],dtype='int64'))
self.assertRaises(AttributeError, lambda : rng.hours)
self.assertRaises(AttributeError, lambda : rng.minutes)
self.assertRaises(AttributeError, lambda : rng.milliseconds)
# with nat
s = Series(rng)
s[1] = np.nan
tm.assert_series_equal(s.dt.days,Series([1,np.nan],index=[0,1]))
tm.assert_series_equal(s.dt.seconds,Series([10*3600+11*60+12,np.nan],index=[0,1]))
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_constructor(self):
expected = TimedeltaIndex(['1 days','1 days 00:00:05',
'2 days','2 days 00:00:02','0 days 00:00:03'])
result = TimedeltaIndex(['1 days','1 days, 00:00:05',
np.timedelta64(2,'D'),
timedelta(days=2,seconds=2),
pd.offsets.Second(3)])
tm.assert_index_equal(result,expected)
expected = TimedeltaIndex(['0 days 00:00:00', '0 days 00:00:01', '0 days 00:00:02'])
tm.assert_index_equal(TimedeltaIndex(range(3), unit='s'), expected)
expected = TimedeltaIndex(['0 days 00:00:00', '0 days 00:00:05', '0 days 00:00:09'])
tm.assert_index_equal(TimedeltaIndex([0, 5, 9], unit='s'), expected)
expected = TimedeltaIndex(['0 days 00:00:00.400', '0 days 00:00:00.450', '0 days 00:00:01.200'])
tm.assert_index_equal(TimedeltaIndex([400, 450, 1200], unit='ms'), expected)
def test_constructor_coverage(self):
rng = timedelta_range('1 days', periods=10.5)
exp = timedelta_range('1 days', periods=10)
self.assertTrue(rng.equals(exp))
self.assertRaises(ValueError, TimedeltaIndex, start='1 days',
periods='foo', freq='D')
self.assertRaises(ValueError, TimedeltaIndex, start='1 days',
end='10 days')
self.assertRaises(ValueError, TimedeltaIndex, '1 days')
# generator expression
gen = (timedelta(i) for i in range(10))
result = TimedeltaIndex(gen)
expected = TimedeltaIndex([timedelta(i) for i in range(10)])
self.assertTrue(result.equals(expected))
# NumPy string array
strings = np.array(['1 days', '2 days', '3 days'])
result = TimedeltaIndex(strings)
expected = to_timedelta([1,2,3],unit='d')
self.assertTrue(result.equals(expected))
from_ints = TimedeltaIndex(expected.asi8)
self.assertTrue(from_ints.equals(expected))
# non-conforming freq
self.assertRaises(ValueError, TimedeltaIndex,
['1 days', '2 days', '4 days'],
freq='D')
self.assertRaises(ValueError, TimedeltaIndex, periods=10, freq='D')
def test_constructor_name(self):
idx = TimedeltaIndex(start='1 days', periods=1, freq='D',
name='TEST')
self.assertEqual(idx.name, 'TEST')
def test_freq_conversion(self):
# doc example
# series
td = Series(date_range('20130101',periods=4)) - \
Series(date_range('20121201',periods=4))
td[2] += timedelta(minutes=5,seconds=3)
td[3] = np.nan
result = td / np.timedelta64(1,'D')
expected = Series([31,31,(31*86400+5*60+3)/86400.0,np.nan])
assert_series_equal(result,expected)
result = td.astype('timedelta64[D]')
expected = Series([31,31,31,np.nan])
assert_series_equal(result,expected)
result = td / np.timedelta64(1,'s')
expected = Series([31*86400,31*86400,31*86400+5*60+3,np.nan])
assert_series_equal(result,expected)
result = td.astype('timedelta64[s]')
assert_series_equal(result,expected)
# tdi
td = TimedeltaIndex(td)
result = td / np.timedelta64(1,'D')
expected = Index([31,31,(31*86400+5*60+3)/86400.0,np.nan])
assert_index_equal(result,expected)
result = td.astype('timedelta64[D]')
expected = Index([31,31,31,np.nan])
assert_index_equal(result,expected)
result = td / np.timedelta64(1,'s')
expected = Index([31*86400,31*86400,31*86400+5*60+3,np.nan])
assert_index_equal(result,expected)
result = td.astype('timedelta64[s]')
assert_index_equal(result,expected)
def test_comparisons_coverage(self):
rng = timedelta_range('1 days', periods=10)
result = rng < rng[3]
exp = np.array([True, True, True]+[False]*7)
self.assert_numpy_array_equal(result, exp)
# raise TypeError for now
self.assertRaises(TypeError, rng.__lt__, rng[3].value)
result = rng == list(rng)
exp = rng == rng
self.assert_numpy_array_equal(result, exp)