Exemple #1
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def test_shifts_ruptures_tz_localized(midday):
    shift_mask, shift_amount = time.shifts_ruptures(midday.tz_localize(None),
                                                    midday)
    assert not shift_mask.any()
    assert shift_mask.index.tz is None
    assert_series_equal(shift_amount,
                        pd.Series(0,
                                  index=midday.index.tz_localize(None),
                                  dtype='int64'),
                        check_names=False)
    shift_mask, shift_amount = time.shifts_ruptures(midday,
                                                    midday.tz_localize(None))
    assert not shift_mask.any()
    assert shift_mask.index.tz == midday.index.tz
    assert_series_equal(shift_amount,
                        pd.Series(0, index=midday.index, dtype='int64'),
                        check_names=False)
    shift_mask, shift_amount = time.shifts_ruptures(midday.tz_localize(None),
                                                    midday.tz_localize(None))
    assert not shift_mask.any()
    assert shift_mask.index.tz is None
    assert_series_equal(shift_amount,
                        pd.Series(0,
                                  index=midday.index.tz_localize(None),
                                  dtype='int64'),
                        check_names=False)
Exemple #2
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def test_shift_ruptures_period_min(midday):
    no_shifts = pd.Series(0, index=midday.index, dtype='int64')
    shift_mask, shift_amount = time.shifts_ruptures(midday,
                                                    midday,
                                                    period_min=len(midday))
    assert not shift_mask.any()
    assert_series_equal(shift_amount, no_shifts, check_names=False)

    shifted = _shift_between(midday, 60, start='2020-01-01', end='2020-01-20')
    shift_expected = pd.Series(0, index=shifted.index, dtype='int64')
    shift_expected.loc['2020-01-01':'2020-01-20'] = 60
    expected_mask = shift_expected != 0
    shift_mask, shift_amount = time.shifts_ruptures(midday,
                                                    midday,
                                                    period_min=30)
    assert not shift_mask.any()
    assert_series_equal(shift_amount, no_shifts, check_names=False)
    shift_mask, shift_amount = time.shifts_ruptures(shifted,
                                                    midday,
                                                    period_min=15)
    assert_series_equal(shift_mask, expected_mask, check_names=False)
    assert_series_equal(shift_amount, shift_expected, check_names=False)

    with pytest.raises(ValueError):
        time.shifts_ruptures(midday, midday, period_min=10000)
Exemple #3
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def test_shift_ruptures_shift_min(midday):
    shifted = _shift_between(
        midday,
        30,
        start='2020-01-01',
        end='2020-01-25',
    )
    shift_expected = pd.Series(0, index=shifted.index, dtype='int64')
    shift_expected.loc['2020-01-01':'2020-01-25'] = 30
    no_shift = pd.Series(0, index=shifted.index, dtype='int64')
    shift_mask, shift_amount = time.shifts_ruptures(shifted,
                                                    midday,
                                                    shift_min=60,
                                                    round_up_from=40)
    assert not shift_mask.any()
    assert_series_equal(shift_amount, no_shift, check_names=False)
    shift_mask, shift_amount = time.shifts_ruptures(shifted,
                                                    midday,
                                                    shift_min=30)
    assert_series_equal(
        shift_mask,
        shift_expected != 0 if pd.infer_freq(shifted.index) != 'H' else False,
        check_names=False)
    assert_series_equal(
        shift_amount,
        shift_expected if pd.infer_freq(shifted.index) != 'H' else no_shift,
        check_names=False)
Exemple #4
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def test_shifts_ruptures_shift_in_middle(midday):
    shifted = _shift_between(midday, 60, start='2020-01-25', end='2020-02-15')
    shift_expected = pd.Series(0, index=shifted.index, dtype='int64')
    shift_expected['2020-01-26':'2020-02-15'] = 60
    shift_mask, shift_amount = time.shifts_ruptures(shifted, midday)
    assert_series_equal(shift_mask, shift_expected != 0, check_names=False)
    assert_series_equal(shift_amount, shift_expected, check_names=False)
Exemple #5
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def test_shift_ruptures_partial_shift(midday):
    shifted = _shift_between(midday, 60, start='2020-1-1', end='2020-2-1')
    expected = pd.Series(60, index=midday.index)
    expected.loc['2020-2-2':] = 0
    expected_mask = expected != 0
    shift_mask, shift_amount = time.shifts_ruptures(shifted, midday)
    assert_series_equal(shift_mask, expected_mask, check_names=False)
    assert_series_equal(shift_amount, expected, check_names=False)
Exemple #6
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def test_shift_ruptures_no_shift(midday):
    """Daytime mask with no time-shifts yields a series with 0s for
    shift amounts."""
    shift_mask, shift_amounts = time.shifts_ruptures(midday, midday)
    assert not shift_mask.any()
    assert_series_equal(shift_amounts,
                        pd.Series(0, index=midday.index, dtype='int64'),
                        check_names=False)
Exemple #7
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def test_shift_ruptures_negative_shift(midday):
    shifted = _shift_between(midday, -60, start='2020-01-01', end='2020-02-29')
    expected_shift_mask = pd.Series(False, index=midday.index)
    expected_shift_mask['2020-01-01':'2020-02-29'] = True
    shift_mask, shift_amounts = time.shifts_ruptures(shifted, midday)
    assert_series_equal(shift_mask, expected_shift_mask, check_names=False)
    assert_series_equal(shift_amounts,
                        pd.Series(-60, index=shifted.index, dtype='int64'),
                        check_names=False)
Exemple #8
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def test_shift_ruptures_positive_shift(midday):
    """Every day shifted 1 hour later yields a series with shift
     of 60 for each day."""
    shifted = _shift_between(midday, 60, start='2020-01-01', end='2020-02-29')
    expected_shift_mask = pd.Series(False, index=midday.index)
    expected_shift_mask['2020-01-01':'2020-02-29'] = True
    shift_mask, shift_amounts = time.shifts_ruptures(shifted, midday)
    assert_series_equal(shift_mask, expected_shift_mask, check_names=False)
    assert_series_equal(shift_amounts,
                        pd.Series(60, index=shifted.index, dtype='int64'),
                        check_names=False)