""" test the scalar Timestamp """ import sys import pytz import pytest import dateutil import operator import calendar import numpy as np from dateutil.tz import tzutc from pytz import timezone, utc from datetime import datetime, timedelta from distutils.version import LooseVersion from pytz.exceptions import AmbiguousTimeError, NonExistentTimeError import pandas.util.testing as tm from pandas.tseries import offsets, frequencies from pandas._libs import tslib, period from pandas._libs.tslibs.timezones import get_timezone from pandas.compat import lrange, long, PY3 from pandas.util.testing import assert_series_equal from pandas.compat.numpy import np_datetime64_compat from pandas import (Timestamp, date_range, Period, Timedelta, compat, Series, NaT, DataFrame, DatetimeIndex) from pandas.tseries.frequencies import (RESO_DAY, RESO_HR, RESO_MIN, RESO_US, RESO_MS, RESO_SEC) class TestTimestamp(object): def test_constructor(self): base_str = '2014-07-01 09:00' base_dt = datetime(2014, 7, 1, 9) base_expected = 1404205200000000000 # confirm base representation is correct import calendar assert (calendar.timegm(base_dt.timetuple()) * 1000000000 == base_expected) tests = [(base_str, base_dt, base_expected), ('2014-07-01 10:00', datetime(2014, 7, 1, 10), base_expected + 3600 * 1000000000), ('2014-07-01 09:00:00.000008000', datetime(2014, 7, 1, 9, 0, 0, 8), base_expected + 8000), ('2014-07-01 09:00:00.000000005', Timestamp('2014-07-01 09:00:00.000000005'), base_expected + 5)] timezones = [(None, 0), ('UTC', 0), (pytz.utc, 0), ('Asia/Tokyo', 9), ('US/Eastern', -4), ('dateutil/US/Pacific', -7), (pytz.FixedOffset(-180), -3), (dateutil.tz.tzoffset(None, 18000), 5)] for date_str, date, expected in tests: for result in [Timestamp(date_str), Timestamp(date)]: # only with timestring assert result.value == expected assert tslib.pydt_to_i8(result) == expected # re-creation shouldn't affect to internal value result = Timestamp(result) assert result.value == expected assert tslib.pydt_to_i8(result) == expected # with timezone for tz, offset in timezones: for result in [Timestamp(date_str, tz=tz), Timestamp(date, tz=tz)]: expected_tz = expected - offset * 3600 * 1000000000 assert result.value == expected_tz assert tslib.pydt_to_i8(result) == expected_tz # should preserve tz result = Timestamp(result) assert result.value == expected_tz assert tslib.pydt_to_i8(result) == expected_tz # should convert to UTC result = Timestamp(result, tz='UTC') expected_utc = expected - offset * 3600 * 1000000000 assert result.value == expected_utc assert tslib.pydt_to_i8(result) == expected_utc def test_constructor_with_stringoffset(self): # GH 7833 base_str = '2014-07-01 11:00:00+02:00' base_dt = datetime(2014, 7, 1, 9) base_expected = 1404205200000000000 # confirm base representation is correct import calendar assert (calendar.timegm(base_dt.timetuple()) * 1000000000 == base_expected) tests = [(base_str, base_expected), ('2014-07-01 12:00:00+02:00', base_expected + 3600 * 1000000000), ('2014-07-01 11:00:00.000008000+02:00', base_expected + 8000), ('2014-07-01 11:00:00.000000005+02:00', base_expected + 5)] timezones = [(None, 0), ('UTC', 0), (pytz.utc, 0), ('Asia/Tokyo', 9), ('US/Eastern', -4), ('dateutil/US/Pacific', -7), (pytz.FixedOffset(-180), -3), (dateutil.tz.tzoffset(None, 18000), 5)] for date_str, expected in tests: for result in [Timestamp(date_str)]: # only with timestring assert result.value == expected assert tslib.pydt_to_i8(result) == expected # re-creation shouldn't affect to internal value result = Timestamp(result) assert result.value == expected assert tslib.pydt_to_i8(result) == expected # with timezone for tz, offset in timezones: result = Timestamp(date_str, tz=tz) expected_tz = expected assert result.value == expected_tz assert tslib.pydt_to_i8(result) == expected_tz # should preserve tz result = Timestamp(result) assert result.value == expected_tz assert tslib.pydt_to_i8(result) == expected_tz # should convert to UTC result = Timestamp(result, tz='UTC') expected_utc = expected assert result.value == expected_utc assert tslib.pydt_to_i8(result) == expected_utc # This should be 2013-11-01 05:00 in UTC # converted to Chicago tz result = Timestamp('2013-11-01 00:00:00-0500', tz='America/Chicago') assert result.value == Timestamp('2013-11-01 05:00').value expected = "Timestamp('2013-11-01 00:00:00-0500', tz='America/Chicago')" # noqa assert repr(result) == expected assert result == eval(repr(result)) # This should be 2013-11-01 05:00 in UTC # converted to Tokyo tz (+09:00) result = Timestamp('2013-11-01 00:00:00-0500', tz='Asia/Tokyo') assert result.value == Timestamp('2013-11-01 05:00').value expected = "Timestamp('2013-11-01 14:00:00+0900', tz='Asia/Tokyo')" assert repr(result) == expected assert result == eval(repr(result)) # GH11708 # This should be 2015-11-18 10:00 in UTC # converted to Asia/Katmandu result = Timestamp("2015-11-18 15:45:00+05:45", tz="Asia/Katmandu") assert result.value == Timestamp("2015-11-18 10:00").value expected = "Timestamp('2015-11-18 15:45:00+0545', tz='Asia/Katmandu')" assert repr(result) == expected assert result == eval(repr(result)) # This should be 2015-11-18 10:00 in UTC # converted to Asia/Kolkata result = Timestamp("2015-11-18 15:30:00+05:30", tz="Asia/Kolkata") assert result.value == Timestamp("2015-11-18 10:00").value expected = "Timestamp('2015-11-18 15:30:00+0530', tz='Asia/Kolkata')" assert repr(result) == expected assert result == eval(repr(result)) def test_constructor_invalid(self): with tm.assert_raises_regex(TypeError, 'Cannot convert input'): Timestamp(slice(2)) with tm.assert_raises_regex(ValueError, 'Cannot convert Period'): Timestamp(Period('1000-01-01')) def test_constructor_positional(self): # see gh-10758 with pytest.raises(TypeError): Timestamp(2000, 1) with pytest.raises(ValueError): Timestamp(2000, 0, 1) with pytest.raises(ValueError): Timestamp(2000, 13, 1) with pytest.raises(ValueError): Timestamp(2000, 1, 0) with pytest.raises(ValueError): Timestamp(2000, 1, 32) # see gh-11630 assert (repr(Timestamp(2015, 11, 12)) == repr(Timestamp('20151112'))) assert (repr(Timestamp(2015, 11, 12, 1, 2, 3, 999999)) == repr(Timestamp('2015-11-12 01:02:03.999999'))) def test_constructor_keyword(self): # GH 10758 with pytest.raises(TypeError): Timestamp(year=2000, month=1) with pytest.raises(ValueError): Timestamp(year=2000, month=0, day=1) with pytest.raises(ValueError): Timestamp(year=2000, month=13, day=1) with pytest.raises(ValueError): Timestamp(year=2000, month=1, day=0) with pytest.raises(ValueError): Timestamp(year=2000, month=1, day=32) assert (repr(Timestamp(year=2015, month=11, day=12)) == repr(Timestamp('20151112'))) assert (repr(Timestamp(year=2015, month=11, day=12, hour=1, minute=2, second=3, microsecond=999999)) == repr(Timestamp('2015-11-12 01:02:03.999999'))) def test_constructor_fromordinal(self): base = datetime(2000, 1, 1) ts = Timestamp.fromordinal(base.toordinal(), freq='D') assert base == ts assert ts.freq == 'D' assert base.toordinal() == ts.toordinal() ts = Timestamp.fromordinal(base.toordinal(), tz='US/Eastern') assert Timestamp('2000-01-01', tz='US/Eastern') == ts assert base.toordinal() == ts.toordinal() def test_constructor_offset_depr(self): # see gh-12160 with tm.assert_produces_warning(FutureWarning, check_stacklevel=False): ts = Timestamp('2011-01-01', offset='D') assert ts.freq == 'D' with tm.assert_produces_warning(FutureWarning, check_stacklevel=False): assert ts.offset == 'D' msg = "Can only specify freq or offset, not both" with tm.assert_raises_regex(TypeError, msg): Timestamp('2011-01-01', offset='D', freq='D') def test_constructor_offset_depr_fromordinal(self): # GH 12160 base = datetime(2000, 1, 1) with tm.assert_produces_warning(FutureWarning, check_stacklevel=False): ts = Timestamp.fromordinal(base.toordinal(), offset='D') assert Timestamp('2000-01-01') == ts assert ts.freq == 'D' assert base.toordinal() == ts.toordinal() msg = "Can only specify freq or offset, not both" with tm.assert_raises_regex(TypeError, msg): Timestamp.fromordinal(base.toordinal(), offset='D', freq='D') def test_conversion(self): # GH 9255 ts = Timestamp('2000-01-01') result = ts.to_pydatetime() expected = datetime(2000, 1, 1) assert result == expected assert type(result) == type(expected) result = ts.to_datetime64() expected = np.datetime64(ts.value, 'ns') assert result == expected assert type(result) == type(expected) assert result.dtype == expected.dtype def test_repr(self): dates = ['2014-03-07', '2014-01-01 09:00', '2014-01-01 00:00:00.000000001'] # dateutil zone change (only matters for repr) if (dateutil.__version__ >= LooseVersion('2.3') and (dateutil.__version__ <= LooseVersion('2.4.0') or dateutil.__version__ >= LooseVersion('2.6.0'))): timezones = ['UTC', 'Asia/Tokyo', 'US/Eastern', 'dateutil/US/Pacific'] else: timezones = ['UTC', 'Asia/Tokyo', 'US/Eastern', 'dateutil/America/Los_Angeles'] freqs = ['D', 'M', 'S', 'N'] for date in dates: for tz in timezones: for freq in freqs: # avoid to match with timezone name freq_repr = "'{0}'".format(freq) if tz.startswith('dateutil'): tz_repr = tz.replace('dateutil', '') else: tz_repr = tz date_only = Timestamp(date) assert date in repr(date_only) assert tz_repr not in repr(date_only) assert freq_repr not in repr(date_only) assert date_only == eval(repr(date_only)) date_tz = Timestamp(date, tz=tz) assert date in repr(date_tz) assert tz_repr in repr(date_tz) assert freq_repr not in repr(date_tz) assert date_tz == eval(repr(date_tz)) date_freq = Timestamp(date, freq=freq) assert date in repr(date_freq) assert tz_repr not in repr(date_freq) assert freq_repr in repr(date_freq) assert date_freq == eval(repr(date_freq)) date_tz_freq = Timestamp(date, tz=tz, freq=freq) assert date in repr(date_tz_freq) assert tz_repr in repr(date_tz_freq) assert freq_repr in repr(date_tz_freq) assert date_tz_freq == eval(repr(date_tz_freq)) # This can cause the tz field to be populated, but it's redundant to # include this information in the date-string. date_with_utc_offset = Timestamp('2014-03-13 00:00:00-0400', tz=None) assert '2014-03-13 00:00:00-0400' in repr(date_with_utc_offset) assert 'tzoffset' not in repr(date_with_utc_offset) assert 'pytz.FixedOffset(-240)' in repr(date_with_utc_offset) expr = repr(date_with_utc_offset).replace("'pytz.FixedOffset(-240)'", 'pytz.FixedOffset(-240)') assert date_with_utc_offset == eval(expr) def test_bounds_with_different_units(self): out_of_bounds_dates = ('1677-09-21', '2262-04-12', ) time_units = ('D', 'h', 'm', 's', 'ms', 'us') for date_string in out_of_bounds_dates: for unit in time_units: pytest.raises(ValueError, Timestamp, np.datetime64( date_string, dtype='M8[%s]' % unit)) in_bounds_dates = ('1677-09-23', '2262-04-11', ) for date_string in in_bounds_dates: for unit in time_units: Timestamp(np.datetime64(date_string, dtype='M8[%s]' % unit)) def test_tz(self): t = '2014-02-01 09:00' ts = Timestamp(t) local = ts.tz_localize('Asia/Tokyo') assert local.hour == 9 assert local == Timestamp(t, tz='Asia/Tokyo') conv = local.tz_convert('US/Eastern') assert conv == Timestamp('2014-01-31 19:00', tz='US/Eastern') assert conv.hour == 19 # preserves nanosecond ts = Timestamp(t) + offsets.Nano(5) local = ts.tz_localize('Asia/Tokyo') assert local.hour == 9 assert local.nanosecond == 5 conv = local.tz_convert('US/Eastern') assert conv.nanosecond == 5 assert conv.hour == 19 def test_tz_localize_ambiguous(self): ts = Timestamp('2014-11-02 01:00') ts_dst = ts.tz_localize('US/Eastern', ambiguous=True) ts_no_dst = ts.tz_localize('US/Eastern', ambiguous=False) rng = date_range('2014-11-02', periods=3, freq='H', tz='US/Eastern') assert rng[1] == ts_dst assert rng[2] == ts_no_dst pytest.raises(ValueError, ts.tz_localize, 'US/Eastern', ambiguous='infer') # GH 8025 with tm.assert_raises_regex(TypeError, 'Cannot localize tz-aware Timestamp, ' 'use tz_convert for conversions'): Timestamp('2011-01-01', tz='US/Eastern').tz_localize('Asia/Tokyo') with tm.assert_raises_regex(TypeError, 'Cannot convert tz-naive Timestamp, ' 'use tz_localize to localize'): Timestamp('2011-01-01').tz_convert('Asia/Tokyo') def test_tz_localize_nonexistent(self): # see gh-13057 times = ['2015-03-08 02:00', '2015-03-08 02:30', '2015-03-29 02:00', '2015-03-29 02:30'] timezones = ['US/Eastern', 'US/Pacific', 'Europe/Paris', 'Europe/Belgrade'] for t, tz in zip(times, timezones): ts = Timestamp(t) pytest.raises(NonExistentTimeError, ts.tz_localize, tz) pytest.raises(NonExistentTimeError, ts.tz_localize, tz, errors='raise') assert ts.tz_localize(tz, errors='coerce') is NaT def test_tz_localize_errors_ambiguous(self): # see gh-13057 ts = Timestamp('2015-11-1 01:00') pytest.raises(AmbiguousTimeError, ts.tz_localize, 'US/Pacific', errors='coerce') def test_tz_localize_roundtrip(self): for tz in ['UTC', 'Asia/Tokyo', 'US/Eastern', 'dateutil/US/Pacific']: for t in ['2014-02-01 09:00', '2014-07-08 09:00', '2014-11-01 17:00', '2014-11-05 00:00']: ts = Timestamp(t) localized = ts.tz_localize(tz) assert localized == Timestamp(t, tz=tz) with pytest.raises(TypeError): localized.tz_localize(tz) reset = localized.tz_localize(None) assert reset == ts assert reset.tzinfo is None def test_tz_convert_roundtrip(self): for tz in ['UTC', 'Asia/Tokyo', 'US/Eastern', 'dateutil/US/Pacific']: for t in ['2014-02-01 09:00', '2014-07-08 09:00', '2014-11-01 17:00', '2014-11-05 00:00']: ts = Timestamp(t, tz='UTC') converted = ts.tz_convert(tz) reset = converted.tz_convert(None) assert reset == Timestamp(t) assert reset.tzinfo is None assert reset == converted.tz_convert('UTC').tz_localize(None) def test_barely_oob_dts(self): one_us = np.timedelta64(1).astype('timedelta64[us]') # By definition we can't go out of bounds in [ns], so we # convert the datetime64s to [us] so we can go out of bounds min_ts_us = np.datetime64(Timestamp.min).astype('M8[us]') max_ts_us = np.datetime64(Timestamp.max).astype('M8[us]') # No error for the min/max datetimes Timestamp(min_ts_us) Timestamp(max_ts_us) # One us less than the minimum is an error pytest.raises(ValueError, Timestamp, min_ts_us - one_us) # One us more than the maximum is an error pytest.raises(ValueError, Timestamp, max_ts_us + one_us) def test_utc_z_designator(self): assert get_timezone(Timestamp('2014-11-02 01:00Z').tzinfo) == 'UTC' def test_now(self): # #9000 ts_from_string = Timestamp('now') ts_from_method = Timestamp.now() ts_datetime = datetime.now() ts_from_string_tz = Timestamp('now', tz='US/Eastern') ts_from_method_tz = Timestamp.now(tz='US/Eastern') # Check that the delta between the times is less than 1s (arbitrarily # small) delta = Timedelta(seconds=1) assert abs(ts_from_method - ts_from_string) < delta assert abs(ts_datetime - ts_from_method) < delta assert abs(ts_from_method_tz - ts_from_string_tz) < delta assert (abs(ts_from_string_tz.tz_localize(None) - ts_from_method_tz.tz_localize(None)) < delta) def test_today(self): ts_from_string = Timestamp('today') ts_from_method = Timestamp.today() ts_datetime = datetime.today() ts_from_string_tz = Timestamp('today', tz='US/Eastern') ts_from_method_tz = Timestamp.today(tz='US/Eastern') # Check that the delta between the times is less than 1s (arbitrarily # small) delta = Timedelta(seconds=1) assert abs(ts_from_method - ts_from_string) < delta assert abs(ts_datetime - ts_from_method) < delta assert abs(ts_from_method_tz - ts_from_string_tz) < delta assert (abs(ts_from_string_tz.tz_localize(None) - ts_from_method_tz.tz_localize(None)) < delta) def test_asm8(self): np.random.seed(7960929) ns = [Timestamp.min.value, Timestamp.max.value, 1000] for n in ns: assert (Timestamp(n).asm8.view('i8') == np.datetime64(n, 'ns').view('i8') == n) assert (Timestamp('nat').asm8.view('i8') == np.datetime64('nat', 'ns').view('i8')) def test_fields(self): def check(value, equal): # that we are int/long like assert isinstance(value, (int, compat.long)) assert value == equal # GH 10050 ts = Timestamp('2015-05-10 09:06:03.000100001') check(ts.year, 2015) check(ts.month, 5) check(ts.day, 10) check(ts.hour, 9) check(ts.minute, 6) check(ts.second, 3) pytest.raises(AttributeError, lambda: ts.millisecond) check(ts.microsecond, 100) check(ts.nanosecond, 1) check(ts.dayofweek, 6) check(ts.quarter, 2) check(ts.dayofyear, 130) check(ts.week, 19) check(ts.daysinmonth, 31) check(ts.daysinmonth, 31) # GH 13303 ts = Timestamp('2014-12-31 23:59:00-05:00', tz='US/Eastern') check(ts.year, 2014) check(ts.month, 12) check(ts.day, 31) check(ts.hour, 23) check(ts.minute, 59) check(ts.second, 0) pytest.raises(AttributeError, lambda: ts.millisecond) check(ts.microsecond, 0) check(ts.nanosecond, 0) check(ts.dayofweek, 2) check(ts.quarter, 4) check(ts.dayofyear, 365) check(ts.week, 1) check(ts.daysinmonth, 31) ts = Timestamp('2014-01-01 00:00:00+01:00') starts = ['is_month_start', 'is_quarter_start', 'is_year_start'] for start in starts: assert getattr(ts, start) ts = Timestamp('2014-12-31 23:59:59+01:00') ends = ['is_month_end', 'is_year_end', 'is_quarter_end'] for end in ends: assert getattr(ts, end) @pytest.mark.parametrize('data, expected', [(Timestamp('2017-08-28 23:00:00'), 'Monday'), (Timestamp('2017-08-28 23:00:00', tz='EST'), 'Monday')]) def test_weekday_name(self, data, expected): # GH 17354 assert data.weekday_name == expected def test_pprint(self): # GH12622 import pprint nested_obj = {'foo': 1, 'bar': [{'w': {'a': Timestamp('2011-01-01')}}] * 10} result = pprint.pformat(nested_obj, width=50) expected = r"""{'bar': [{'w': {'a': Timestamp('2011-01-01 00:00:00')}}, {'w': {'a': Timestamp('2011-01-01 00:00:00')}}, {'w': {'a': Timestamp('2011-01-01 00:00:00')}}, {'w': {'a': Timestamp('2011-01-01 00:00:00')}}, {'w': {'a': Timestamp('2011-01-01 00:00:00')}}, {'w': {'a': Timestamp('2011-01-01 00:00:00')}}, {'w': {'a': Timestamp('2011-01-01 00:00:00')}}, {'w': {'a': Timestamp('2011-01-01 00:00:00')}}, {'w': {'a': Timestamp('2011-01-01 00:00:00')}}, {'w': {'a': Timestamp('2011-01-01 00:00:00')}}], 'foo': 1}""" assert result == expected def to_datetime_depr(self): # see gh-8254 ts = Timestamp('2011-01-01') with tm.assert_produces_warning(FutureWarning, check_stacklevel=False): expected = datetime(2011, 1, 1) result = ts.to_datetime() assert result == expected def to_pydatetime_nonzero_nano(self): ts = Timestamp('2011-01-01 9:00:00.123456789') # Warn the user of data loss (nanoseconds). with tm.assert_produces_warning(UserWarning, check_stacklevel=False): expected = datetime(2011, 1, 1, 9, 0, 0, 123456) result = ts.to_pydatetime() assert result == expected def test_round(self): # round dt = Timestamp('20130101 09:10:11') result = dt.round('D') expected = Timestamp('20130101') assert result == expected dt = Timestamp('20130101 19:10:11') result = dt.round('D') expected = Timestamp('20130102') assert result == expected dt = Timestamp('20130201 12:00:00') result = dt.round('D') expected = Timestamp('20130202') assert result == expected dt = Timestamp('20130104 12:00:00') result = dt.round('D') expected = Timestamp('20130105') assert result == expected dt = Timestamp('20130104 12:32:00') result = dt.round('30Min') expected = Timestamp('20130104 12:30:00') assert result == expected dti = date_range('20130101 09:10:11', periods=5) result = dti.round('D') expected = date_range('20130101', periods=5) tm.assert_index_equal(result, expected) # floor dt = Timestamp('20130101 09:10:11') result = dt.floor('D') expected = Timestamp('20130101') assert result == expected # ceil dt = Timestamp('20130101 09:10:11') result = dt.ceil('D') expected = Timestamp('20130102') assert result == expected # round with tz dt = Timestamp('20130101 09:10:11', tz='US/Eastern') result = dt.round('D') expected = Timestamp('20130101', tz='US/Eastern') assert result == expected dt = Timestamp('20130101 09:10:11', tz='US/Eastern') result = dt.round('s') assert result == dt dti = date_range('20130101 09:10:11', periods=5).tz_localize('UTC').tz_convert('US/Eastern') result = dti.round('D') expected = date_range('20130101', periods=5).tz_localize('US/Eastern') tm.assert_index_equal(result, expected) result = dti.round('s') tm.assert_index_equal(result, dti) # invalid for freq in ['Y', 'M', 'foobar']: pytest.raises(ValueError, lambda: dti.round(freq)) # GH 14440 & 15578 result = Timestamp('2016-10-17 12:00:00.0015').round('ms') expected = Timestamp('2016-10-17 12:00:00.002000') assert result == expected result = Timestamp('2016-10-17 12:00:00.00149').round('ms') expected = Timestamp('2016-10-17 12:00:00.001000') assert result == expected ts = Timestamp('2016-10-17 12:00:00.0015') for freq in ['us', 'ns']: assert ts == ts.round(freq) result = Timestamp('2016-10-17 12:00:00.001501031').round('10ns') expected = Timestamp('2016-10-17 12:00:00.001501030') assert result == expected with tm.assert_produces_warning(): Timestamp('2016-10-17 12:00:00.001501031').round('1010ns') def test_round_misc(self): stamp = Timestamp('2000-01-05 05:09:15.13') def _check_round(freq, expected): result = stamp.round(freq=freq) assert result == expected for freq, expected in [('D', Timestamp('2000-01-05 00:00:00')), ('H', Timestamp('2000-01-05 05:00:00')), ('S', Timestamp('2000-01-05 05:09:15'))]: _check_round(freq, expected) msg = frequencies._INVALID_FREQ_ERROR with tm.assert_raises_regex(ValueError, msg): stamp.round('foo') def test_class_ops_pytz(self): def compare(x, y): assert (int(Timestamp(x).value / 1e9) == int(Timestamp(y).value / 1e9)) compare(Timestamp.now(), datetime.now()) compare(Timestamp.now('UTC'), datetime.now(timezone('UTC'))) compare(Timestamp.utcnow(), datetime.utcnow()) compare(Timestamp.today(), datetime.today()) current_time = calendar.timegm(datetime.now().utctimetuple()) compare(Timestamp.utcfromtimestamp(current_time), datetime.utcfromtimestamp(current_time)) compare(Timestamp.fromtimestamp(current_time), datetime.fromtimestamp(current_time)) date_component = datetime.utcnow() time_component = (date_component + timedelta(minutes=10)).time() compare(Timestamp.combine(date_component, time_component), datetime.combine(date_component, time_component)) def test_class_ops_dateutil(self): def compare(x, y): assert (int(np.round(Timestamp(x).value / 1e9)) == int(np.round(Timestamp(y).value / 1e9))) compare(Timestamp.now(), datetime.now()) compare(Timestamp.now('UTC'), datetime.now(tzutc())) compare(Timestamp.utcnow(), datetime.utcnow()) compare(Timestamp.today(), datetime.today()) current_time = calendar.timegm(datetime.now().utctimetuple()) compare(Timestamp.utcfromtimestamp(current_time), datetime.utcfromtimestamp(current_time)) compare(Timestamp.fromtimestamp(current_time), datetime.fromtimestamp(current_time)) date_component = datetime.utcnow() time_component = (date_component + timedelta(minutes=10)).time() compare(Timestamp.combine(date_component, time_component), datetime.combine(date_component, time_component)) def test_basics_nanos(self): val = np.int64(946684800000000000).view('M8[ns]') stamp = Timestamp(val.view('i8') + 500) assert stamp.year == 2000 assert stamp.month == 1 assert stamp.microsecond == 0 assert stamp.nanosecond == 500 # GH 14415 val = np.iinfo(np.int64).min + 80000000000000 stamp = Timestamp(val) assert stamp.year == 1677 assert stamp.month == 9 assert stamp.day == 21 assert stamp.microsecond == 145224 assert stamp.nanosecond == 192 def test_unit(self): def check(val, unit=None, h=1, s=1, us=0): stamp = Timestamp(val, unit=unit) assert stamp.year == 2000 assert stamp.month == 1 assert stamp.day == 1 assert stamp.hour == h if unit != 'D': assert stamp.minute == 1 assert stamp.second == s assert stamp.microsecond == us else: assert stamp.minute == 0 assert stamp.second == 0 assert stamp.microsecond == 0 assert stamp.nanosecond == 0 ts = Timestamp('20000101 01:01:01') val = ts.value days = (ts - Timestamp('1970-01-01')).days check(val) check(val / long(1000), unit='us') check(val / long(1000000), unit='ms') check(val / long(1000000000), unit='s') check(days, unit='D', h=0) # using truediv, so these are like floats if compat.PY3: check((val + 500000) / long(1000000000), unit='s', us=500) check((val + 500000000) / long(1000000000), unit='s', us=500000) check((val + 500000) / long(1000000), unit='ms', us=500) # get chopped in py2 else: check((val + 500000) / long(1000000000), unit='s') check((val + 500000000) / long(1000000000), unit='s') check((val + 500000) / long(1000000), unit='ms') # ok check((val + 500000) / long(1000), unit='us', us=500) check((val + 500000000) / long(1000000), unit='ms', us=500000) # floats check(val / 1000.0 + 5, unit='us', us=5) check(val / 1000.0 + 5000, unit='us', us=5000) check(val / 1000000.0 + 0.5, unit='ms', us=500) check(val / 1000000.0 + 0.005, unit='ms', us=5) check(val / 1000000000.0 + 0.5, unit='s', us=500000) check(days + 0.5, unit='D', h=12) def test_roundtrip(self): # test value to string and back conversions # further test accessors base = Timestamp('20140101 00:00:00') result = Timestamp(base.value + Timedelta('5ms').value) assert result == Timestamp(str(base) + ".005000") assert result.microsecond == 5000 result = Timestamp(base.value + Timedelta('5us').value) assert result == Timestamp(str(base) + ".000005") assert result.microsecond == 5 result = Timestamp(base.value + Timedelta('5ns').value) assert result == Timestamp(str(base) + ".000000005") assert result.nanosecond == 5 assert result.microsecond == 0 result = Timestamp(base.value + Timedelta('6ms 5us').value) assert result == Timestamp(str(base) + ".006005") assert result.microsecond == 5 + 6 * 1000 result = Timestamp(base.value + Timedelta('200ms 5us').value) assert result == Timestamp(str(base) + ".200005") assert result.microsecond == 5 + 200 * 1000 def test_comparison(self): # 5-18-2012 00:00:00.000 stamp = long(1337299200000000000) val = Timestamp(stamp) assert val == val assert not val != val assert not val < val assert val <= val assert not val > val assert val >= val other = datetime(2012, 5, 18) assert val == other assert not val != other assert not val < other assert val <= other assert not val > other assert val >= other other = Timestamp(stamp + 100) assert val != other assert val != other assert val < other assert val <= other assert other > val assert other >= val def test_compare_invalid(self): # GH 8058 val = Timestamp('20130101 12:01:02') assert not val == 'foo' assert not val == 10.0 assert not val == 1 assert not val == long(1) assert not val == [] assert not val == {'foo': 1} assert not val == np.float64(1) assert not val == np.int64(1) assert val != 'foo' assert val != 10.0 assert val != 1 assert val != long(1) assert val != [] assert val != {'foo': 1} assert val != np.float64(1) assert val != np.int64(1) # ops testing df = DataFrame(np.random.randn(5, 2)) a = df[0] b = Series(np.random.randn(5)) b.name = Timestamp('2000-01-01') tm.assert_series_equal(a / b, 1 / (b / a)) def test_cant_compare_tz_naive_w_aware(self): # see gh-1404 a = Timestamp('3/12/2012') b = Timestamp('3/12/2012', tz='utc') pytest.raises(Exception, a.__eq__, b) pytest.raises(Exception, a.__ne__, b) pytest.raises(Exception, a.__lt__, b) pytest.raises(Exception, a.__gt__, b) pytest.raises(Exception, b.__eq__, a) pytest.raises(Exception, b.__ne__, a) pytest.raises(Exception, b.__lt__, a) pytest.raises(Exception, b.__gt__, a) if sys.version_info < (3, 3): pytest.raises(Exception, a.__eq__, b.to_pydatetime()) pytest.raises(Exception, a.to_pydatetime().__eq__, b) else: assert not a == b.to_pydatetime() assert not a.to_pydatetime() == b def test_cant_compare_tz_naive_w_aware_explicit_pytz(self): # see gh-1404 a = Timestamp('3/12/2012') b = Timestamp('3/12/2012', tz=utc) pytest.raises(Exception, a.__eq__, b) pytest.raises(Exception, a.__ne__, b) pytest.raises(Exception, a.__lt__, b) pytest.raises(Exception, a.__gt__, b) pytest.raises(Exception, b.__eq__, a) pytest.raises(Exception, b.__ne__, a) pytest.raises(Exception, b.__lt__, a) pytest.raises(Exception, b.__gt__, a) if sys.version_info < (3, 3): pytest.raises(Exception, a.__eq__, b.to_pydatetime()) pytest.raises(Exception, a.to_pydatetime().__eq__, b) else: assert not a == b.to_pydatetime() assert not a.to_pydatetime() == b def test_cant_compare_tz_naive_w_aware_dateutil(self): # see gh-1404 a = Timestamp('3/12/2012') b = Timestamp('3/12/2012', tz=tzutc()) pytest.raises(Exception, a.__eq__, b) pytest.raises(Exception, a.__ne__, b) pytest.raises(Exception, a.__lt__, b) pytest.raises(Exception, a.__gt__, b) pytest.raises(Exception, b.__eq__, a) pytest.raises(Exception, b.__ne__, a) pytest.raises(Exception, b.__lt__, a) pytest.raises(Exception, b.__gt__, a) if sys.version_info < (3, 3): pytest.raises(Exception, a.__eq__, b.to_pydatetime()) pytest.raises(Exception, a.to_pydatetime().__eq__, b) else: assert not a == b.to_pydatetime() assert not a.to_pydatetime() == b def test_delta_preserve_nanos(self): val = Timestamp(long(1337299200000000123)) result = val + timedelta(1) assert result.nanosecond == val.nanosecond def test_frequency_misc(self): assert (frequencies.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 pytest.raises(ValueError, frequencies.get_freq_code, (5, 'baz')) pytest.raises(ValueError, frequencies.to_offset, '100foo') pytest.raises(ValueError, frequencies.to_offset, ('', '')) with tm.assert_produces_warning(FutureWarning, check_stacklevel=False): result = frequencies.get_standard_freq(offsets.Hour()) assert result == 'H' def test_hash_equivalent(self): d = {datetime(2011, 1, 1): 5} stamp = Timestamp(datetime(2011, 1, 1)) assert d[stamp] == 5 def test_timestamp_compare_scalars(self): # case where ndim == 0 lhs = np.datetime64(datetime(2013, 12, 6)) rhs = Timestamp('now') nat = Timestamp('nat') ops = {'gt': 'lt', 'lt': 'gt', 'ge': 'le', 'le': 'ge', 'eq': 'eq', 'ne': 'ne'} for left, right in ops.items(): left_f = getattr(operator, left) right_f = getattr(operator, right) expected = left_f(lhs, rhs) result = right_f(rhs, lhs) assert result == expected expected = left_f(rhs, nat) result = right_f(nat, rhs) assert result == expected def test_timestamp_compare_series(self): # make sure we can compare Timestamps on the right AND left hand side # GH4982 s = Series(date_range('20010101', periods=10), name='dates') s_nat = s.copy(deep=True) s[0] = Timestamp('nat') s[3] = Timestamp('nat') ops = {'lt': 'gt', 'le': 'ge', 'eq': 'eq', 'ne': 'ne'} for left, right in ops.items(): left_f = getattr(operator, left) right_f = getattr(operator, right) # no nats expected = left_f(s, Timestamp('20010109')) result = right_f(Timestamp('20010109'), s) tm.assert_series_equal(result, expected) # nats expected = left_f(s, Timestamp('nat')) result = right_f(Timestamp('nat'), s) tm.assert_series_equal(result, expected) # compare to timestamp with series containing nats expected = left_f(s_nat, Timestamp('20010109')) result = right_f(Timestamp('20010109'), s_nat) tm.assert_series_equal(result, expected) # compare to nat with series containing nats expected = left_f(s_nat, Timestamp('nat')) result = right_f(Timestamp('nat'), s_nat) tm.assert_series_equal(result, expected) def test_is_leap_year(self): # GH 13727 for tz in [None, 'UTC', 'US/Eastern', 'Asia/Tokyo']: dt = Timestamp('2000-01-01 00:00:00', tz=tz) assert dt.is_leap_year assert isinstance(dt.is_leap_year, bool) dt = Timestamp('1999-01-01 00:00:00', tz=tz) assert not dt.is_leap_year dt = Timestamp('2004-01-01 00:00:00', tz=tz) assert dt.is_leap_year dt = Timestamp('2100-01-01 00:00:00', tz=tz) assert not dt.is_leap_year def test_timestamp(self): # GH#17329 # tz-naive --> treat it as if it were UTC for purposes of timestamp() ts = Timestamp.now() uts = ts.replace(tzinfo=utc) assert ts.timestamp() == uts.timestamp() tsc = Timestamp('2014-10-11 11:00:01.12345678', tz='US/Central') utsc = tsc.tz_convert('UTC') # utsc is a different representation of the same time assert tsc.timestamp() == utsc.timestamp() if PY3: # datetime.timestamp() converts in the local timezone with tm.set_timezone('UTC'): # should agree with datetime.timestamp method dt = ts.to_pydatetime() assert dt.timestamp() == ts.timestamp() class TestTimestampNsOperations(object): def setup_method(self, method): self.timestamp = Timestamp(datetime.utcnow()) def assert_ns_timedelta(self, modified_timestamp, expected_value): value = self.timestamp.value modified_value = modified_timestamp.value assert modified_value - value == expected_value def test_timedelta_ns_arithmetic(self): self.assert_ns_timedelta(self.timestamp + np.timedelta64(-123, 'ns'), -123) def test_timedelta_ns_based_arithmetic(self): self.assert_ns_timedelta(self.timestamp + np.timedelta64( 1234567898, 'ns'), 1234567898) def test_timedelta_us_arithmetic(self): self.assert_ns_timedelta(self.timestamp + np.timedelta64(-123, 'us'), -123000) def test_timedelta_ms_arithmetic(self): time = self.timestamp + np.timedelta64(-123, 'ms') self.assert_ns_timedelta(time, -123000000) def test_nanosecond_string_parsing(self): ts = Timestamp('2013-05-01 07:15:45.123456789') # GH 7878 expected_repr = '2013-05-01 07:15:45.123456789' expected_value = 1367392545123456789 assert ts.value == expected_value assert expected_repr in repr(ts) ts = Timestamp('2013-05-01 07:15:45.123456789+09:00', tz='Asia/Tokyo') assert ts.value == expected_value - 9 * 3600 * 1000000000 assert expected_repr in repr(ts) ts = Timestamp('2013-05-01 07:15:45.123456789', tz='UTC') assert ts.value == expected_value assert expected_repr in repr(ts) ts = Timestamp('2013-05-01 07:15:45.123456789', tz='US/Eastern') assert ts.value == expected_value + 4 * 3600 * 1000000000 assert expected_repr in repr(ts) # GH 10041 ts = Timestamp('20130501T071545.123456789') assert ts.value == expected_value assert expected_repr in repr(ts) def test_nanosecond_timestamp(self): # GH 7610 expected = 1293840000000000005 t = Timestamp('2011-01-01') + offsets.Nano(5) assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')" assert t.value == expected assert t.nanosecond == 5 t = Timestamp(t) assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')" assert t.value == expected assert t.nanosecond == 5 t = Timestamp(np_datetime64_compat('2011-01-01 00:00:00.000000005Z')) assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')" assert t.value == expected assert t.nanosecond == 5 expected = 1293840000000000010 t = t + offsets.Nano(5) assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')" assert t.value == expected assert t.nanosecond == 10 t = Timestamp(t) assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')" assert t.value == expected assert t.nanosecond == 10 t = Timestamp(np_datetime64_compat('2011-01-01 00:00:00.000000010Z')) assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')" assert t.value == expected assert t.nanosecond == 10 class TestTimestampOps(object): def test_timestamp_and_datetime(self): assert ((Timestamp(datetime(2013, 10, 13)) - datetime(2013, 10, 12)).days == 1) assert ((datetime(2013, 10, 12) - Timestamp(datetime(2013, 10, 13))).days == -1) def test_timestamp_and_series(self): timestamp_series = Series(date_range('2014-03-17', periods=2, freq='D', tz='US/Eastern')) first_timestamp = timestamp_series[0] delta_series = Series([np.timedelta64(0, 'D'), np.timedelta64(1, 'D')]) assert_series_equal(timestamp_series - first_timestamp, delta_series) assert_series_equal(first_timestamp - timestamp_series, -delta_series) def test_addition_subtraction_types(self): # Assert on the types resulting from Timestamp +/- various date/time # objects datetime_instance = datetime(2014, 3, 4) timedelta_instance = timedelta(seconds=1) # build a timestamp with a frequency, since then it supports # addition/subtraction of integers timestamp_instance = date_range(datetime_instance, periods=1, freq='D')[0] assert type(timestamp_instance + 1) == Timestamp assert type(timestamp_instance - 1) == Timestamp # Timestamp + datetime not supported, though subtraction is supported # and yields timedelta more tests in tseries/base/tests/test_base.py assert type(timestamp_instance - datetime_instance) == Timedelta assert type(timestamp_instance + timedelta_instance) == Timestamp assert type(timestamp_instance - timedelta_instance) == Timestamp # Timestamp +/- datetime64 not supported, so not tested (could possibly # assert error raised?) timedelta64_instance = np.timedelta64(1, 'D') assert type(timestamp_instance + timedelta64_instance) == Timestamp assert type(timestamp_instance - timedelta64_instance) == Timestamp def test_addition_subtraction_preserve_frequency(self): timestamp_instance = date_range('2014-03-05', periods=1, freq='D')[0] timedelta_instance = timedelta(days=1) original_freq = timestamp_instance.freq assert (timestamp_instance + 1).freq == original_freq assert (timestamp_instance - 1).freq == original_freq assert (timestamp_instance + timedelta_instance).freq == original_freq assert (timestamp_instance - timedelta_instance).freq == original_freq timedelta64_instance = np.timedelta64(1, 'D') assert (timestamp_instance + timedelta64_instance).freq == original_freq assert (timestamp_instance - timedelta64_instance).freq == original_freq def test_resolution(self): for freq, expected in zip(['A', 'Q', 'M', 'D', 'H', 'T', 'S', 'L', 'U'], [RESO_DAY, RESO_DAY, RESO_DAY, RESO_DAY, RESO_HR, RESO_MIN, RESO_SEC, RESO_MS, RESO_US]): for tz in [None, 'Asia/Tokyo', 'US/Eastern', 'dateutil/US/Eastern']: idx = date_range(start='2013-04-01', periods=30, freq=freq, tz=tz) result = period.resolution(idx.asi8, idx.tz) assert result == expected class TestTimestampToJulianDate(object): def test_compare_1700(self): r = Timestamp('1700-06-23').to_julian_date() assert r == 2342145.5 def test_compare_2000(self): r = Timestamp('2000-04-12').to_julian_date() assert r == 2451646.5 def test_compare_2100(self): r = Timestamp('2100-08-12').to_julian_date() assert r == 2488292.5 def test_compare_hour01(self): r = Timestamp('2000-08-12T01:00:00').to_julian_date() assert r == 2451768.5416666666666666 def test_compare_hour13(self): r = Timestamp('2000-08-12T13:00:00').to_julian_date() assert r == 2451769.0416666666666666 class TestTimeSeries(object): def test_timestamp_to_datetime(self): rng = date_range('20090415', '20090519', tz='US/Eastern') stamp = rng[0] dtval = stamp.to_pydatetime() assert stamp == dtval assert stamp.tzinfo == dtval.tzinfo def test_timestamp_to_datetime_dateutil(self): rng = date_range('20090415', '20090519', tz='dateutil/US/Eastern') stamp = rng[0] dtval = stamp.to_pydatetime() assert stamp == dtval assert stamp.tzinfo == dtval.tzinfo def test_timestamp_to_datetime_explicit_pytz(self): rng = date_range('20090415', '20090519', tz=pytz.timezone('US/Eastern')) stamp = rng[0] dtval = stamp.to_pydatetime() assert stamp == dtval assert stamp.tzinfo == dtval.tzinfo def test_timestamp_to_datetime_explicit_dateutil(self): tm._skip_if_windows_python_3() from pandas._libs.tslibs.timezones import dateutil_gettz as gettz rng = date_range('20090415', '20090519', tz=gettz('US/Eastern')) stamp = rng[0] dtval = stamp.to_pydatetime() assert stamp == dtval assert stamp.tzinfo == dtval.tzinfo def test_timestamp_fields(self): # extra fields from DatetimeIndex like quarter and week idx = tm.makeDateIndex(100) fields = ['dayofweek', 'dayofyear', 'week', 'weekofyear', 'quarter', 'days_in_month', 'is_month_start', 'is_month_end', 'is_quarter_start', 'is_quarter_end', 'is_year_start', 'is_year_end', 'weekday_name'] for f in fields: expected = getattr(idx, f)[-1] result = getattr(Timestamp(idx[-1]), f) assert result == expected assert idx.freq == Timestamp(idx[-1], idx.freq).freq assert idx.freqstr == Timestamp(idx[-1], idx.freq).freqstr def test_timestamp_date_out_of_range(self): pytest.raises(ValueError, Timestamp, '1676-01-01') pytest.raises(ValueError, Timestamp, '2263-01-01') # see gh-1475 pytest.raises(ValueError, DatetimeIndex, ['1400-01-01']) pytest.raises(ValueError, DatetimeIndex, [datetime(1400, 1, 1)]) def test_timestamp_repr(self): # pre-1900 stamp = Timestamp('1850-01-01', tz='US/Eastern') repr(stamp) iso8601 = '1850-01-01 01:23:45.012345' stamp = Timestamp(iso8601, tz='US/Eastern') result = repr(stamp) assert iso8601 in result def test_timestamp_from_ordinal(self): # GH 3042 dt = datetime(2011, 4, 16, 0, 0) ts = Timestamp.fromordinal(dt.toordinal()) assert ts.to_pydatetime() == dt # with a tzinfo stamp = Timestamp('2011-4-16', tz='US/Eastern') dt_tz = stamp.to_pydatetime() ts = Timestamp.fromordinal(dt_tz.toordinal(), tz='US/Eastern') assert ts.to_pydatetime() == dt_tz def test_timestamp_compare_with_early_datetime(self): # e.g. datetime.min stamp = Timestamp('2012-01-01') assert not stamp == datetime.min assert not stamp == datetime(1600, 1, 1) assert not stamp == datetime(2700, 1, 1) assert stamp != datetime.min assert stamp != datetime(1600, 1, 1) assert stamp != datetime(2700, 1, 1) assert stamp > datetime(1600, 1, 1) assert stamp >= datetime(1600, 1, 1) assert stamp < datetime(2700, 1, 1) assert stamp <= datetime(2700, 1, 1) def test_timestamp_equality(self): # GH 11034 s = Series([Timestamp('2000-01-29 01:59:00'), 'NaT']) result = s != s assert_series_equal(result, Series([False, True])) result = s != s[0] assert_series_equal(result, Series([False, True])) result = s != s[1] assert_series_equal(result, Series([True, True])) result = s == s assert_series_equal(result, Series([True, False])) result = s == s[0] assert_series_equal(result, Series([True, False])) result = s == s[1] assert_series_equal(result, Series([False, False])) def test_series_box_timestamp(self): rng = date_range('20090415', '20090519', freq='B') s = Series(rng) assert isinstance(s[5], Timestamp) rng = date_range('20090415', '20090519', freq='B') s = Series(rng, index=rng) assert isinstance(s[5], Timestamp) assert isinstance(s.iat[5], Timestamp) def test_frame_setitem_timestamp(self): # 2155 columns = DatetimeIndex(start='1/1/2012', end='2/1/2012', freq=offsets.BDay()) index = lrange(10) data = DataFrame(columns=columns, index=index) t = datetime(2012, 11, 1) ts = Timestamp(t) data[ts] = np.nan # works def test_to_html_timestamp(self): rng = date_range('2000-01-01', periods=10) df = DataFrame(np.random.randn(10, 4), index=rng) result = df.to_html() assert '2000-01-01' in result def test_series_map_box_timestamps(self): # #2689, #2627 s = Series(date_range('1/1/2000', periods=10)) def f(x): return (x.hour, x.day, x.month) # it works! s.map(f) s.apply(f) DataFrame(s).applymap(f) def test_dti_slicing(self): dti = DatetimeIndex(start='1/1/2005', end='12/1/2005', freq='M') dti2 = dti[[1, 3, 5]] v1 = dti2[0] v2 = dti2[1] v3 = dti2[2] assert v1 == Timestamp('2/28/2005') assert v2 == Timestamp('4/30/2005') assert v3 == Timestamp('6/30/2005') # don't carry freq through irregular slicing assert dti2.freq is None def test_woy_boundary(self): # make sure weeks at year boundaries are correct d = datetime(2013, 12, 31) result = Timestamp(d).week expected = 1 # ISO standard assert result == expected d = datetime(2008, 12, 28) result = Timestamp(d).week expected = 52 # ISO standard assert result == expected d = datetime(2009, 12, 31) result = Timestamp(d).week expected = 53 # ISO standard assert result == expected d = datetime(2010, 1, 1) result = Timestamp(d).week expected = 53 # ISO standard assert result == expected d = datetime(2010, 1, 3) result = Timestamp(d).week expected = 53 # ISO standard assert result == expected result = np.array([Timestamp(datetime(*args)).week for args in [(2000, 1, 1), (2000, 1, 2), ( 2005, 1, 1), (2005, 1, 2)]]) assert (result == [52, 52, 53, 53]).all() class TestTsUtil(object): def test_min_valid(self): # Ensure that Timestamp.min is a valid Timestamp Timestamp(Timestamp.min) def test_max_valid(self): # Ensure that Timestamp.max is a valid Timestamp Timestamp(Timestamp.max) def test_to_datetime_bijective(self): # Ensure that converting to datetime and back only loses precision # by going from nanoseconds to microseconds. exp_warning = None if Timestamp.max.nanosecond == 0 else UserWarning with tm.assert_produces_warning(exp_warning, check_stacklevel=False): assert (Timestamp(Timestamp.max.to_pydatetime()).value / 1000 == Timestamp.max.value / 1000) exp_warning = None if Timestamp.min.nanosecond == 0 else UserWarning with tm.assert_produces_warning(exp_warning, check_stacklevel=False): assert (Timestamp(Timestamp.min.to_pydatetime()).value / 1000 == Timestamp.min.value / 1000)