123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109 |
- # -*- coding: utf-8 -*-
- from datetime import datetime
- import pytest
- import pytz
- from pandas.errors import NullFrequencyError
- import pandas as pd
- from pandas import DatetimeIndex, Series, date_range
- import pandas.util.testing as tm
- class TestDatetimeIndexArithmetic(object):
- # -------------------------------------------------------------
- # DatetimeIndex.shift is used in integer addition
- def test_dti_shift_tzaware(self, tz_naive_fixture):
- # GH#9903
- tz = tz_naive_fixture
- idx = pd.DatetimeIndex([], name='xxx', tz=tz)
- tm.assert_index_equal(idx.shift(0, freq='H'), idx)
- tm.assert_index_equal(idx.shift(3, freq='H'), idx)
- idx = pd.DatetimeIndex(['2011-01-01 10:00', '2011-01-01 11:00',
- '2011-01-01 12:00'], name='xxx', tz=tz)
- tm.assert_index_equal(idx.shift(0, freq='H'), idx)
- exp = pd.DatetimeIndex(['2011-01-01 13:00', '2011-01-01 14:00',
- '2011-01-01 15:00'], name='xxx', tz=tz)
- tm.assert_index_equal(idx.shift(3, freq='H'), exp)
- exp = pd.DatetimeIndex(['2011-01-01 07:00', '2011-01-01 08:00',
- '2011-01-01 09:00'], name='xxx', tz=tz)
- tm.assert_index_equal(idx.shift(-3, freq='H'), exp)
- def test_dti_shift_freqs(self):
- # test shift for DatetimeIndex and non DatetimeIndex
- # GH#8083
- drange = pd.date_range('20130101', periods=5)
- result = drange.shift(1)
- expected = pd.DatetimeIndex(['2013-01-02', '2013-01-03', '2013-01-04',
- '2013-01-05',
- '2013-01-06'], freq='D')
- tm.assert_index_equal(result, expected)
- result = drange.shift(-1)
- expected = pd.DatetimeIndex(['2012-12-31', '2013-01-01', '2013-01-02',
- '2013-01-03', '2013-01-04'],
- freq='D')
- tm.assert_index_equal(result, expected)
- result = drange.shift(3, freq='2D')
- expected = pd.DatetimeIndex(['2013-01-07', '2013-01-08', '2013-01-09',
- '2013-01-10',
- '2013-01-11'], freq='D')
- tm.assert_index_equal(result, expected)
- def test_dti_shift_int(self):
- rng = date_range('1/1/2000', periods=20)
- with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
- # GH#22535
- result = rng + 5
- expected = rng.shift(5)
- tm.assert_index_equal(result, expected)
- with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
- # GH#22535
- result = rng - 5
- expected = rng.shift(-5)
- tm.assert_index_equal(result, expected)
- def test_dti_shift_no_freq(self):
- # GH#19147
- dti = pd.DatetimeIndex(['2011-01-01 10:00', '2011-01-01'], freq=None)
- with pytest.raises(NullFrequencyError):
- dti.shift(2)
- @pytest.mark.parametrize('tzstr', ['US/Eastern', 'dateutil/US/Eastern'])
- def test_dti_shift_localized(self, tzstr):
- dr = date_range('2011/1/1', '2012/1/1', freq='W-FRI')
- dr_tz = dr.tz_localize(tzstr)
- result = dr_tz.shift(1, '10T')
- assert result.tz == dr_tz.tz
- def test_dti_shift_across_dst(self):
- # GH 8616
- idx = date_range('2013-11-03', tz='America/Chicago',
- periods=7, freq='H')
- s = Series(index=idx[:-1])
- result = s.shift(freq='H')
- expected = Series(index=idx[1:])
- tm.assert_series_equal(result, expected)
- @pytest.mark.parametrize('shift, result_time', [
- [0, '2014-11-14 00:00:00'],
- [-1, '2014-11-13 23:00:00'],
- [1, '2014-11-14 01:00:00']])
- def test_dti_shift_near_midnight(self, shift, result_time):
- # GH 8616
- dt = datetime(2014, 11, 14, 0)
- dt_est = pytz.timezone('EST').localize(dt)
- s = Series(data=[1], index=[dt_est])
- result = s.shift(shift, freq='H')
- expected = Series(1, index=DatetimeIndex([result_time], tz='EST'))
- tm.assert_series_equal(result, expected)
|