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test_tslib.py
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import nose
from distutils.version import LooseVersion
import numpy as np
from pandas import tslib
import pandas._period as period
import datetime
import pandas as pd
from pandas.core.api import Timestamp, Series, Timedelta, Period, to_datetime
from pandas.tslib import get_timezone
from pandas._period import period_asfreq, period_ordinal
from pandas.tseries.index import date_range, DatetimeIndex
from pandas.tseries.frequencies import get_freq
import pandas.tseries.tools as tools
import pandas.tseries.offsets as offsets
import pandas.util.testing as tm
import pandas.compat as compat
from pandas.compat.numpy_compat import (np_datetime64_compat,
np_array_datetime64_compat)
from pandas.util.testing import assert_series_equal, _skip_if_has_locale
class TestTimestamp(tm.TestCase):
def test_constructor(self):
base_str = '2014-07-01 09:00'
base_dt = datetime.datetime(2014, 7, 1, 9)
base_expected = 1404205200000000000
# confirm base representation is correct
import calendar
self.assertEqual(calendar.timegm(base_dt.timetuple()) * 1000000000,
base_expected)
tests = [(base_str, base_dt, base_expected),
('2014-07-01 10:00', datetime.datetime(2014, 7, 1, 10),
base_expected + 3600 * 1000000000),
('2014-07-01 09:00:00.000008000',
datetime.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)]
tm._skip_if_no_pytz()
tm._skip_if_no_dateutil()
import pytz
import dateutil
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
self.assertEqual(result.value, expected)
self.assertEqual(tslib.pydt_to_i8(result), expected)
# re-creation shouldn't affect to internal value
result = Timestamp(result)
self.assertEqual(result.value, expected)
self.assertEqual(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
self.assertEqual(result.value, expected_tz)
self.assertEqual(tslib.pydt_to_i8(result), expected_tz)
# should preserve tz
result = Timestamp(result)
self.assertEqual(result.value, expected_tz)
self.assertEqual(tslib.pydt_to_i8(result), expected_tz)
# should convert to UTC
result = Timestamp(result, tz='UTC')
expected_utc = expected - offset * 3600 * 1000000000
self.assertEqual(result.value, expected_utc)
self.assertEqual(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.datetime(2014, 7, 1, 9)
base_expected = 1404205200000000000
# confirm base representation is correct
import calendar
self.assertEqual(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)]
tm._skip_if_no_pytz()
tm._skip_if_no_dateutil()
import pytz
import dateutil
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
self.assertEqual(result.value, expected)
self.assertEqual(tslib.pydt_to_i8(result), expected)
# re-creation shouldn't affect to internal value
result = Timestamp(result)
self.assertEqual(result.value, expected)
self.assertEqual(tslib.pydt_to_i8(result), expected)
# with timezone
for tz, offset in timezones:
result = Timestamp(date_str, tz=tz)
expected_tz = expected
self.assertEqual(result.value, expected_tz)
self.assertEqual(tslib.pydt_to_i8(result), expected_tz)
# should preserve tz
result = Timestamp(result)
self.assertEqual(result.value, expected_tz)
self.assertEqual(tslib.pydt_to_i8(result), expected_tz)
# should convert to UTC
result = Timestamp(result, tz='UTC')
expected_utc = expected
self.assertEqual(result.value, expected_utc)
self.assertEqual(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')
self.assertEqual(result.value, Timestamp('2013-11-01 05:00').value)
expected = "Timestamp('2013-11-01 00:00:00-0500', tz='America/Chicago')" # noqa
self.assertEqual(repr(result), expected)
self.assertEqual(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')
self.assertEqual(result.value, Timestamp('2013-11-01 05:00').value)
expected = "Timestamp('2013-11-01 14:00:00+0900', tz='Asia/Tokyo')"
self.assertEqual(repr(result), expected)
self.assertEqual(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")
self.assertEqual(result.value, Timestamp("2015-11-18 10:00").value)
expected = "Timestamp('2015-11-18 15:45:00+0545', tz='Asia/Katmandu')"
self.assertEqual(repr(result), expected)
self.assertEqual(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")
self.assertEqual(result.value, Timestamp("2015-11-18 10:00").value)
expected = "Timestamp('2015-11-18 15:30:00+0530', tz='Asia/Kolkata')"
self.assertEqual(repr(result), expected)
self.assertEqual(result, eval(repr(result)))
def test_constructor_invalid(self):
with tm.assertRaisesRegexp(TypeError, 'Cannot convert input'):
Timestamp(slice(2))
with tm.assertRaisesRegexp(ValueError, 'Cannot convert Period'):
Timestamp(Period('1000-01-01'))
def test_conversion(self):
# GH 9255
ts = Timestamp('2000-01-01')
result = ts.to_pydatetime()
expected = datetime.datetime(2000, 1, 1)
self.assertEqual(result, expected)
self.assertEqual(type(result), type(expected))
result = ts.to_datetime64()
expected = np.datetime64(ts.value, 'ns')
self.assertEqual(result, expected)
self.assertEqual(type(result), type(expected))
self.assertEqual(result.dtype, expected.dtype)
def test_repr(self):
tm._skip_if_no_pytz()
tm._skip_if_no_dateutil()
dates = ['2014-03-07', '2014-01-01 09:00',
'2014-01-01 00:00:00.000000001']
# dateutil zone change (only matters for repr)
import dateutil
if dateutil.__version__ >= LooseVersion(
'2.3') and dateutil.__version__ <= LooseVersion('2.4.0'):
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)
self.assertIn(date, repr(date_only))
self.assertNotIn(tz_repr, repr(date_only))
self.assertNotIn(freq_repr, repr(date_only))
self.assertEqual(date_only, eval(repr(date_only)))
date_tz = Timestamp(date, tz=tz)
self.assertIn(date, repr(date_tz))
self.assertIn(tz_repr, repr(date_tz))
self.assertNotIn(freq_repr, repr(date_tz))
self.assertEqual(date_tz, eval(repr(date_tz)))
date_freq = Timestamp(date, offset=freq)
self.assertIn(date, repr(date_freq))
self.assertNotIn(tz_repr, repr(date_freq))
self.assertIn(freq_repr, repr(date_freq))
self.assertEqual(date_freq, eval(repr(date_freq)))
date_tz_freq = Timestamp(date, tz=tz, offset=freq)
self.assertIn(date, repr(date_tz_freq))
self.assertIn(tz_repr, repr(date_tz_freq))
self.assertIn(freq_repr, repr(date_tz_freq))
self.assertEqual(date_tz_freq, eval(repr(date_tz_freq)))
# this can cause the tz field to be populated, but it's redundant to
# information in the datestring
tm._skip_if_no_pytz()
import pytz # noqa
date_with_utc_offset = Timestamp('2014-03-13 00:00:00-0400', tz=None)
self.assertIn('2014-03-13 00:00:00-0400', repr(date_with_utc_offset))
self.assertNotIn('tzoffset', repr(date_with_utc_offset))
self.assertIn('pytz.FixedOffset(-240)', repr(date_with_utc_offset))
expr = repr(date_with_utc_offset).replace("'pytz.FixedOffset(-240)'",
'pytz.FixedOffset(-240)')
self.assertEqual(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:
self.assertRaises(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')
self.assertEqual(local.hour, 9)
self.assertEqual(local, Timestamp(t, tz='Asia/Tokyo'))
conv = local.tz_convert('US/Eastern')
self.assertEqual(conv, Timestamp('2014-01-31 19:00', tz='US/Eastern'))
self.assertEqual(conv.hour, 19)
# preserves nanosecond
ts = Timestamp(t) + offsets.Nano(5)
local = ts.tz_localize('Asia/Tokyo')
self.assertEqual(local.hour, 9)
self.assertEqual(local.nanosecond, 5)
conv = local.tz_convert('US/Eastern')
self.assertEqual(conv.nanosecond, 5)
self.assertEqual(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')
self.assertEqual(rng[1], ts_dst)
self.assertEqual(rng[2], ts_no_dst)
self.assertRaises(ValueError, ts.tz_localize, 'US/Eastern',
ambiguous='infer')
# GH 8025
with tm.assertRaisesRegexp(TypeError,
'Cannot localize tz-aware Timestamp, use '
'tz_convert for conversions'):
Timestamp('2011-01-01', tz='US/Eastern').tz_localize('Asia/Tokyo')
with tm.assertRaisesRegexp(TypeError,
'Cannot convert tz-naive Timestamp, use '
'tz_localize to localize'):
Timestamp('2011-01-01').tz_convert('Asia/Tokyo')
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)
self.assertEqual(localized, Timestamp(t, tz=tz))
with tm.assertRaises(TypeError):
localized.tz_localize(tz)
reset = localized.tz_localize(None)
self.assertEqual(reset, ts)
self.assertTrue(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)
self.assertEqual(reset, Timestamp(t))
self.assertTrue(reset.tzinfo is None)
self.assertEqual(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
self.assertRaises(ValueError, Timestamp, min_ts_us - one_us)
# One us more than the maximum is an error
self.assertRaises(ValueError, Timestamp, max_ts_us + one_us)
def test_utc_z_designator(self):
self.assertEqual(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.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)
self.assertTrue(abs(ts_from_method - ts_from_string) < delta)
self.assertTrue(abs(ts_datetime - ts_from_method) < delta)
self.assertTrue(abs(ts_from_method_tz - ts_from_string_tz) < delta)
self.assertTrue(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.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)
self.assertTrue(abs(ts_from_method - ts_from_string) < delta)
self.assertTrue(abs(ts_datetime - ts_from_method) < delta)
self.assertTrue(abs(ts_from_method_tz - ts_from_string_tz) < delta)
self.assertTrue(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:
self.assertEqual(Timestamp(n).asm8.view('i8'),
np.datetime64(n, 'ns').view('i8'), n)
self.assertEqual(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
self.assertTrue(isinstance(value, (int, compat.long)))
self.assertEqual(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)
self.assertRaises(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)
def test_nat_fields(self):
# GH 10050
ts = Timestamp('NaT')
self.assertTrue(np.isnan(ts.year))
self.assertTrue(np.isnan(ts.month))
self.assertTrue(np.isnan(ts.day))
self.assertTrue(np.isnan(ts.hour))
self.assertTrue(np.isnan(ts.minute))
self.assertTrue(np.isnan(ts.second))
self.assertTrue(np.isnan(ts.microsecond))
self.assertTrue(np.isnan(ts.nanosecond))
self.assertTrue(np.isnan(ts.dayofweek))
self.assertTrue(np.isnan(ts.quarter))
self.assertTrue(np.isnan(ts.dayofyear))
self.assertTrue(np.isnan(ts.week))
self.assertTrue(np.isnan(ts.daysinmonth))
self.assertTrue(np.isnan(ts.days_in_month))
class TestDatetimeParsingWrappers(tm.TestCase):
def test_does_not_convert_mixed_integer(self):
bad_date_strings = ('-50000', '999', '123.1234', 'm', 'T')
for bad_date_string in bad_date_strings:
self.assertFalse(tslib._does_string_look_like_datetime(
bad_date_string))
good_date_strings = ('2012-01-01',
'01/01/2012',
'Mon Sep 16, 2013',
'01012012',
'0101',
'1-1', )
for good_date_string in good_date_strings:
self.assertTrue(tslib._does_string_look_like_datetime(
good_date_string))
def test_parsers(self):
# https://github.com/dateutil/dateutil/issues/217
import dateutil
yearfirst = dateutil.__version__ >= LooseVersion('2.5.0')
cases = {'2011-01-01': datetime.datetime(2011, 1, 1),
'2Q2005': datetime.datetime(2005, 4, 1),
'2Q05': datetime.datetime(2005, 4, 1),
'2005Q1': datetime.datetime(2005, 1, 1),
'05Q1': datetime.datetime(2005, 1, 1),
'2011Q3': datetime.datetime(2011, 7, 1),
'11Q3': datetime.datetime(2011, 7, 1),
'3Q2011': datetime.datetime(2011, 7, 1),
'3Q11': datetime.datetime(2011, 7, 1),
# quarterly without space
'2000Q4': datetime.datetime(2000, 10, 1),
'00Q4': datetime.datetime(2000, 10, 1),
'4Q2000': datetime.datetime(2000, 10, 1),
'4Q00': datetime.datetime(2000, 10, 1),
'2000q4': datetime.datetime(2000, 10, 1),
'2000-Q4': datetime.datetime(2000, 10, 1),
'00-Q4': datetime.datetime(2000, 10, 1),
'4Q-2000': datetime.datetime(2000, 10, 1),
'4Q-00': datetime.datetime(2000, 10, 1),
'2000q4': datetime.datetime(2000, 10, 1),
'00q4': datetime.datetime(2000, 10, 1),
'2005': datetime.datetime(2005, 1, 1),
'2005-11': datetime.datetime(2005, 11, 1),
'2005 11': datetime.datetime(2005, 11, 1),
'11-2005': datetime.datetime(2005, 11, 1),
'11 2005': datetime.datetime(2005, 11, 1),
'200511': datetime.datetime(2020, 5, 11),
'20051109': datetime.datetime(2005, 11, 9),
'20051109 10:15': datetime.datetime(2005, 11, 9, 10, 15),
'20051109 08H': datetime.datetime(2005, 11, 9, 8, 0),
'2005-11-09 10:15': datetime.datetime(2005, 11, 9, 10, 15),
'2005-11-09 08H': datetime.datetime(2005, 11, 9, 8, 0),
'2005/11/09 10:15': datetime.datetime(2005, 11, 9, 10, 15),
'2005/11/09 08H': datetime.datetime(2005, 11, 9, 8, 0),
"Thu Sep 25 10:36:28 2003": datetime.datetime(2003, 9, 25, 10,
36, 28),
"Thu Sep 25 2003": datetime.datetime(2003, 9, 25),
"Sep 25 2003": datetime.datetime(2003, 9, 25),
"January 1 2014": datetime.datetime(2014, 1, 1),
# GH 10537
'2014-06': datetime.datetime(2014, 6, 1),
'06-2014': datetime.datetime(2014, 6, 1),
'2014-6': datetime.datetime(2014, 6, 1),
'6-2014': datetime.datetime(2014, 6, 1),
'20010101 12': datetime.datetime(2001, 1, 1, 12),
'20010101 1234': datetime.datetime(2001, 1, 1, 12, 34),
'20010101 123456': datetime.datetime(2001, 1, 1, 12, 34, 56),
}
for date_str, expected in compat.iteritems(cases):
result1, _, _ = tools.parse_time_string(date_str,
yearfirst=yearfirst)
result2 = to_datetime(date_str, yearfirst=yearfirst)
result3 = to_datetime([date_str], yearfirst=yearfirst)
result4 = to_datetime(np.array([date_str], dtype=object),
yearfirst=yearfirst)
result6 = DatetimeIndex([date_str], yearfirst=yearfirst)[0]
self.assertEqual(result1, expected)
self.assertEqual(result2, expected)
self.assertEqual(result3, expected)
self.assertEqual(result4, expected)
self.assertEqual(result6, expected)
# these really need to have yearfist, but we don't support
if not yearfirst:
result5 = Timestamp(date_str)
self.assertEqual(result5, expected)
result7 = date_range(date_str, freq='S', periods=1,
yearfirst=yearfirst)
self.assertEqual(result7, expected)
# NaT
result1, _, _ = tools.parse_time_string('NaT')
result2 = to_datetime('NaT')
result3 = Timestamp('NaT')
result4 = DatetimeIndex(['NaT'])[0]
self.assertTrue(result1 is tslib.NaT)
self.assertTrue(result1 is tslib.NaT)
self.assertTrue(result1 is tslib.NaT)
self.assertTrue(result1 is tslib.NaT)
def test_parsers_quarter_invalid(self):
cases = ['2Q 2005', '2Q-200A', '2Q-200', '22Q2005', '6Q-20', '2Q200.']
for case in cases:
self.assertRaises(ValueError, tools.parse_time_string, case)
def test_parsers_dayfirst_yearfirst(self):
# str : dayfirst, yearfirst, expected
cases = {'10-11-12': [(False, False, datetime.datetime(2012, 10, 11)),
(True, False, datetime.datetime(2012, 11, 10)),
(False, True, datetime.datetime(2010, 11, 12)),
(True, True, datetime.datetime(2010, 11, 12))],
'20/12/21': [(False, False, datetime.datetime(2021, 12, 20)),
(True, False, datetime.datetime(2021, 12, 20)),
(False, True, datetime.datetime(2020, 12, 21)),
(True, True, datetime.datetime(2020, 12, 21))]}
tm._skip_if_no_dateutil()
from dateutil.parser import parse
for date_str, values in compat.iteritems(cases):
for dayfirst, yearfirst, expected in values:
result1, _, _ = tools.parse_time_string(date_str,
dayfirst=dayfirst,
yearfirst=yearfirst)
result2 = to_datetime(date_str, dayfirst=dayfirst,
yearfirst=yearfirst)
result3 = DatetimeIndex([date_str], dayfirst=dayfirst,
yearfirst=yearfirst)[0]
# Timestamp doesn't support dayfirst and yearfirst
self.assertEqual(result1, expected)
self.assertEqual(result2, expected)
self.assertEqual(result3, expected)
# compare with dateutil result
dateutil_result = parse(date_str, dayfirst=dayfirst,
yearfirst=yearfirst)
self.assertEqual(dateutil_result, expected)
def test_parsers_timestring(self):
tm._skip_if_no_dateutil()
from dateutil.parser import parse
# must be the same as dateutil result
cases = {'10:15': (parse('10:15'), datetime.datetime(1, 1, 1, 10, 15)),
'9:05': (parse('9:05'), datetime.datetime(1, 1, 1, 9, 5))}
for date_str, (exp_now, exp_def) in compat.iteritems(cases):
result1, _, _ = tools.parse_time_string(date_str)
result2 = to_datetime(date_str)
result3 = to_datetime([date_str])
result4 = Timestamp(date_str)
result5 = DatetimeIndex([date_str])[0]
# parse time string return time string based on default date
# others are not, and can't be changed because it is used in
# time series plot
self.assertEqual(result1, exp_def)
self.assertEqual(result2, exp_now)
self.assertEqual(result3, exp_now)
self.assertEqual(result4, exp_now)
self.assertEqual(result5, exp_now)
def test_parsers_time(self):
# GH11818
_skip_if_has_locale()
strings = ["14:15", "1415", "2:15pm", "0215pm", "14:15:00", "141500",
"2:15:00pm", "021500pm", datetime.time(14, 15)]
expected = datetime.time(14, 15)
for time_string in strings:
self.assertEqual(tools.to_time(time_string), expected)
new_string = "14.15"
self.assertRaises(ValueError, tools.to_time, new_string)
self.assertEqual(tools.to_time(new_string, format="%H.%M"), expected)
arg = ["14:15", "20:20"]
expected_arr = [datetime.time(14, 15), datetime.time(20, 20)]
self.assertEqual(tools.to_time(arg), expected_arr)
self.assertEqual(tools.to_time(arg, format="%H:%M"), expected_arr)
self.assertEqual(tools.to_time(arg, infer_time_format=True),
expected_arr)
self.assertEqual(tools.to_time(arg, format="%I:%M%p", errors="coerce"),
[None, None])
self.assert_numpy_array_equal(tools.to_time(arg, format="%I:%M%p",
errors="ignore"),
np.array(arg))
self.assertRaises(ValueError,
lambda: tools.to_time(arg, format="%I:%M%p",
errors="raise"))
self.assert_series_equal(tools.to_time(Series(arg, name="test")),
Series(expected_arr, name="test"))
self.assert_numpy_array_equal(tools.to_time(np.array(arg)),
np.array(expected_arr))
def test_parsers_monthfreq(self):
cases = {'201101': datetime.datetime(2011, 1, 1, 0, 0),
'200005': datetime.datetime(2000, 5, 1, 0, 0)}
for date_str, expected in compat.iteritems(cases):
result1, _, _ = tools.parse_time_string(date_str, freq='M')
result2 = tools._to_datetime(date_str, freq='M')
self.assertEqual(result1, expected)
self.assertEqual(result2, expected)
def test_parsers_quarterly_with_freq(self):
msg = ('Incorrect quarterly string is given, quarter '
'must be between 1 and 4: 2013Q5')
with tm.assertRaisesRegexp(tslib.DateParseError, msg):
tools.parse_time_string('2013Q5')
# GH 5418
msg = ('Unable to retrieve month information from given freq: '
'INVLD-L-DEC-SAT')
with tm.assertRaisesRegexp(tslib.DateParseError, msg):
tools.parse_time_string('2013Q1', freq='INVLD-L-DEC-SAT')
cases = {('2013Q2', None): datetime.datetime(2013, 4, 1),
('2013Q2', 'A-APR'): datetime.datetime(2012, 8, 1),
('2013-Q2', 'A-DEC'): datetime.datetime(2013, 4, 1)}
for (date_str, freq), exp in compat.iteritems(cases):
result, _, _ = tools.parse_time_string(date_str, freq=freq)
self.assertEqual(result, exp)
def test_parsers_timezone_minute_offsets_roundtrip(self):
# GH11708
base = to_datetime("2013-01-01 00:00:00")
dt_strings = [
('2013-01-01 05:45+0545',
"Asia/Katmandu",
"Timestamp('2013-01-01 05:45:00+0545', tz='Asia/Katmandu')"),
('2013-01-01 05:30+0530',
"Asia/Kolkata",
"Timestamp('2013-01-01 05:30:00+0530', tz='Asia/Kolkata')")
]
for dt_string, tz, dt_string_repr in dt_strings:
dt_time = to_datetime(dt_string)
self.assertEqual(base, dt_time)
converted_time = dt_time.tz_localize('UTC').tz_convert(tz)
self.assertEqual(dt_string_repr, repr(converted_time))
def test_parsers_iso8601(self):
# GH 12060
# test only the iso parser - flexibility to different
# separators and leadings 0s
# Timestamp construction falls back to dateutil
cases = {'2011-01-02': datetime.datetime(2011, 1, 2),
'2011-1-2': datetime.datetime(2011, 1, 2),
'2011-01': datetime.datetime(2011, 1, 1),
'2011-1': datetime.datetime(2011, 1, 1),
'2011 01 02': datetime.datetime(2011, 1, 2),
'2011.01.02': datetime.datetime(2011, 1, 2),
'2011/01/02': datetime.datetime(2011, 1, 2),
'2011\\01\\02': datetime.datetime(2011, 1, 2),
'2013-01-01 05:30:00': datetime.datetime(2013, 1, 1, 5, 30),
'2013-1-1 5:30:00': datetime.datetime(2013, 1, 1, 5, 30)}
for date_str, exp in compat.iteritems(cases):
actual = tslib._test_parse_iso8601(date_str)
self.assertEqual(actual, exp)
# seperators must all match - YYYYMM not valid
invalid_cases = ['2011-01/02', '2011^11^11',
'201401', '201111', '200101',
# mixed separated and unseparated
'2005-0101', '200501-01',
'20010101 12:3456', '20010101 1234:56',
# HHMMSS must have two digits in each component
# if unseparated
'20010101 1', '20010101 123', '20010101 12345',
'20010101 12345Z',
# wrong separator for HHMMSS
'2001-01-01 12-34-56']
for date_str in invalid_cases:
with tm.assertRaises(ValueError):
tslib._test_parse_iso8601(date_str)
# If no ValueError raised, let me know which case failed.
raise Exception(date_str)
class TestArrayToDatetime(tm.TestCase):
def test_parsing_valid_dates(self):
arr = np.array(['01-01-2013', '01-02-2013'], dtype=object)
self.assert_numpy_array_equal(
tslib.array_to_datetime(arr),
np_array_datetime64_compat(
[
'2013-01-01T00:00:00.000000000-0000',
'2013-01-02T00:00:00.000000000-0000'
],
dtype='M8[ns]'
)
)
arr = np.array(['Mon Sep 16 2013', 'Tue Sep 17 2013'], dtype=object)
self.assert_numpy_array_equal(
tslib.array_to_datetime(arr),
np_array_datetime64_compat(
[
'2013-09-16T00:00:00.000000000-0000',
'2013-09-17T00:00:00.000000000-0000'
],
dtype='M8[ns]'
)
)
def test_number_looking_strings_not_into_datetime(self):
# #4601
# These strings don't look like datetimes so they shouldn't be
# attempted to be converted
arr = np.array(['-352.737091', '183.575577'], dtype=object)
self.assert_numpy_array_equal(
tslib.array_to_datetime(arr, errors='ignore'), arr)
arr = np.array(['1', '2', '3', '4', '5'], dtype=object)
self.assert_numpy_array_equal(
tslib.array_to_datetime(arr, errors='ignore'), arr)
def test_coercing_dates_outside_of_datetime64_ns_bounds(self):
invalid_dates = [
datetime.date(1000, 1, 1),
datetime.datetime(1000, 1, 1),
'1000-01-01',
'Jan 1, 1000',
np.datetime64('1000-01-01'),
]
for invalid_date in invalid_dates:
self.assertRaises(ValueError,
tslib.array_to_datetime,
np.array(
[invalid_date], dtype='object'),
errors='raise', )
self.assert_numpy_array_equal(
tslib.array_to_datetime(
np.array([invalid_date], dtype='object'),
errors='coerce'),
np.array([tslib.iNaT], dtype='M8[ns]')
)
arr = np.array(['1/1/1000', '1/1/2000'], dtype=object)
self.assert_numpy_array_equal(
tslib.array_to_datetime(arr, errors='coerce'),
np_array_datetime64_compat(
[
tslib.iNaT,
'2000-01-01T00:00:00.000000000-0000'
],
dtype='M8[ns]'
)
)
def test_coerce_of_invalid_datetimes(self):
arr = np.array(['01-01-2013', 'not_a_date', '1'], dtype=object)
# Without coercing, the presence of any invalid dates prevents
# any values from being converted
self.assert_numpy_array_equal(
tslib.array_to_datetime(arr, errors='ignore'), arr)
# With coercing, the invalid dates becomes iNaT
self.assert_numpy_array_equal(
tslib.array_to_datetime(arr, errors='coerce'),
np_array_datetime64_compat(
[
'2013-01-01T00:00:00.000000000-0000',
tslib.iNaT,
tslib.iNaT
],
dtype='M8[ns]'
)
)
def test_parsing_timezone_offsets(self):
# All of these datetime strings with offsets are equivalent
# to the same datetime after the timezone offset is added
dt_strings = [
'01-01-2013 08:00:00+08:00',
'2013-01-01T08:00:00.000000000+0800',
'2012-12-31T16:00:00.000000000-0800',
'12-31-2012 23:00:00-01:00'
]
expected_output = tslib.array_to_datetime(np.array(
['01-01-2013 00:00:00'], dtype=object))
for dt_string in dt_strings:
self.assert_numpy_array_equal(
tslib.array_to_datetime(
np.array([dt_string], dtype=object)
),
expected_output
)
class TestTimestampNsOperations(tm.TestCase):
def setUp(self):
self.timestamp = Timestamp(datetime.datetime.utcnow())
def assert_ns_timedelta(self, modified_timestamp, expected_value):
value = self.timestamp.value
modified_value = modified_timestamp.value
self.assertEqual(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
self.assertEqual(ts.value, expected_value)
self.assertIn(expected_repr, repr(ts))
ts = Timestamp('2013-05-01 07:15:45.123456789+09:00', tz='Asia/Tokyo')
self.assertEqual(ts.value, expected_value - 9 * 3600 * 1000000000)
self.assertIn(expected_repr, repr(ts))
ts = Timestamp('2013-05-01 07:15:45.123456789', tz='UTC')
self.assertEqual(ts.value, expected_value)
self.assertIn(expected_repr, repr(ts))
ts = Timestamp('2013-05-01 07:15:45.123456789', tz='US/Eastern')
self.assertEqual(ts.value, expected_value + 4 * 3600 * 1000000000)
self.assertIn(expected_repr, repr(ts))
# GH 10041
ts = Timestamp('20130501T071545.123456789')
self.assertEqual(ts.value, expected_value)
self.assertIn(expected_repr, repr(ts))
def test_nanosecond_timestamp(self):
# GH 7610
expected = 1293840000000000005
t = Timestamp('2011-01-01') + offsets.Nano(5)
self.assertEqual(repr(t), "Timestamp('2011-01-01 00:00:00.000000005')")
self.assertEqual(t.value, expected)
self.assertEqual(t.nanosecond, 5)
t = Timestamp(t)
self.assertEqual(repr(t), "Timestamp('2011-01-01 00:00:00.000000005')")
self.assertEqual(t.value, expected)
self.assertEqual(t.nanosecond, 5)
t = Timestamp(np_datetime64_compat('2011-01-01 00:00:00.000000005Z'))
self.assertEqual(repr(t), "Timestamp('2011-01-01 00:00:00.000000005')")
self.assertEqual(t.value, expected)
self.assertEqual(t.nanosecond, 5)
expected = 1293840000000000010
t = t + offsets.Nano(5)
self.assertEqual(repr(t), "Timestamp('2011-01-01 00:00:00.000000010')")
self.assertEqual(t.value, expected)
self.assertEqual(t.nanosecond, 10)
t = Timestamp(t)
self.assertEqual(repr(t), "Timestamp('2011-01-01 00:00:00.000000010')")
self.assertEqual(t.value, expected)
self.assertEqual(t.nanosecond, 10)
t = Timestamp(np_datetime64_compat('2011-01-01 00:00:00.000000010Z'))
self.assertEqual(repr(t), "Timestamp('2011-01-01 00:00:00.000000010')")
self.assertEqual(t.value, expected)
self.assertEqual(t.nanosecond, 10)
def test_nat_arithmetic(self):
# GH 6873
i = 2
f = 1.5
for (left, right) in [(pd.NaT, i), (pd.NaT, f), (pd.NaT, np.nan)]:
self.assertIs(left / right, pd.NaT)
self.assertIs(left * right, pd.NaT)
self.assertIs(right * left, pd.NaT)
with tm.assertRaises(TypeError):
right / left
# Timestamp / datetime
t = Timestamp('2014-01-01')
dt = datetime.datetime(2014, 1, 1)
for (left, right) in [(pd.NaT, pd.NaT), (pd.NaT, t), (pd.NaT, dt)]:
# NaT __add__ or __sub__ Timestamp-like (or inverse) returns NaT
self.assertIs(right + left, pd.NaT)
self.assertIs(left + right, pd.NaT)
self.assertIs(left - right, pd.NaT)
self.assertIs(right - left, pd.NaT)
# timedelta-like
# offsets are tested in test_offsets.py
delta = datetime.timedelta(3600)
td = Timedelta('5s')
for (left, right) in [(pd.NaT, delta), (pd.NaT, td)]:
# NaT + timedelta-like returns NaT
self.assertIs(right + left, pd.NaT)
self.assertIs(left + right, pd.NaT)
self.assertIs(right - left, pd.NaT)
self.assertIs(left - right, pd.NaT)
# GH 11718
tm._skip_if_no_pytz()
import pytz
t_utc = Timestamp('2014-01-01', tz='UTC')
t_tz = Timestamp('2014-01-01', tz='US/Eastern')
dt_tz = pytz.timezone('Asia/Tokyo').localize(dt)
for (left, right) in [(pd.NaT, t_utc), (pd.NaT, t_tz),
(pd.NaT, dt_tz)]:
# NaT __add__ or __sub__ Timestamp-like (or inverse) returns NaT
self.assertIs(right + left, pd.NaT)
self.assertIs(left + right, pd.NaT)
self.assertIs(left - right, pd.NaT)
self.assertIs(right - left, pd.NaT)