mirror of
https://github.com/PiBrewing/craftbeerpi4.git
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1534 lines
55 KiB
Python
1534 lines
55 KiB
Python
# Arithmetic tests for DataFrame/Series/Index/Array classes that should
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# behave identically.
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# Specifically for Period dtype
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import operator
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import numpy as np
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import pytest
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from pandas._libs.tslibs import IncompatibleFrequency, Period, Timestamp, to_offset
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from pandas.errors import PerformanceWarning
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import pandas as pd
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from pandas import PeriodIndex, Series, TimedeltaIndex, period_range
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import pandas._testing as tm
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from pandas.core import ops
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from pandas.core.arrays import TimedeltaArray
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from .common import assert_invalid_comparison
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# ------------------------------------------------------------------
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# Comparisons
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class TestPeriodArrayLikeComparisons:
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# Comparison tests for PeriodDtype vectors fully parametrized over
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# DataFrame/Series/PeriodIndex/PeriodArray. Ideally all comparison
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# tests will eventually end up here.
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def test_compare_zerodim(self, box_with_array):
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# GH#26689 make sure we unbox zero-dimensional arrays
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xbox = box_with_array if box_with_array is not pd.Index else np.ndarray
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pi = pd.period_range("2000", periods=4)
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other = np.array(pi.to_numpy()[0])
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pi = tm.box_expected(pi, box_with_array)
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result = pi <= other
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expected = np.array([True, False, False, False])
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expected = tm.box_expected(expected, xbox)
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tm.assert_equal(result, expected)
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@pytest.mark.parametrize(
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"scalar", ["foo", pd.Timestamp.now(), pd.Timedelta(days=4)]
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)
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def test_compare_invalid_scalar(self, box_with_array, scalar):
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# comparison with scalar that cannot be interpreted as a Period
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pi = pd.period_range("2000", periods=4)
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parr = tm.box_expected(pi, box_with_array)
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assert_invalid_comparison(parr, scalar, box_with_array)
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@pytest.mark.parametrize(
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"other",
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[
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pd.date_range("2000", periods=4).array,
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pd.timedelta_range("1D", periods=4).array,
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np.arange(4),
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np.arange(4).astype(np.float64),
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list(range(4)),
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],
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)
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def test_compare_invalid_listlike(self, box_with_array, other):
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pi = pd.period_range("2000", periods=4)
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parr = tm.box_expected(pi, box_with_array)
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assert_invalid_comparison(parr, other, box_with_array)
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@pytest.mark.parametrize("other_box", [list, np.array, lambda x: x.astype(object)])
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def test_compare_object_dtype(self, box_with_array, other_box):
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pi = pd.period_range("2000", periods=5)
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parr = tm.box_expected(pi, box_with_array)
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xbox = np.ndarray if box_with_array is pd.Index else box_with_array
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other = other_box(pi)
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expected = np.array([True, True, True, True, True])
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expected = tm.box_expected(expected, xbox)
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result = parr == other
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tm.assert_equal(result, expected)
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result = parr <= other
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tm.assert_equal(result, expected)
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result = parr >= other
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tm.assert_equal(result, expected)
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result = parr != other
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tm.assert_equal(result, ~expected)
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result = parr < other
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tm.assert_equal(result, ~expected)
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result = parr > other
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tm.assert_equal(result, ~expected)
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other = other_box(pi[::-1])
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expected = np.array([False, False, True, False, False])
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expected = tm.box_expected(expected, xbox)
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result = parr == other
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tm.assert_equal(result, expected)
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expected = np.array([True, True, True, False, False])
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expected = tm.box_expected(expected, xbox)
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result = parr <= other
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tm.assert_equal(result, expected)
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expected = np.array([False, False, True, True, True])
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expected = tm.box_expected(expected, xbox)
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result = parr >= other
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tm.assert_equal(result, expected)
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expected = np.array([True, True, False, True, True])
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expected = tm.box_expected(expected, xbox)
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result = parr != other
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tm.assert_equal(result, expected)
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expected = np.array([True, True, False, False, False])
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expected = tm.box_expected(expected, xbox)
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result = parr < other
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tm.assert_equal(result, expected)
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expected = np.array([False, False, False, True, True])
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expected = tm.box_expected(expected, xbox)
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result = parr > other
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tm.assert_equal(result, expected)
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class TestPeriodIndexComparisons:
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# TODO: parameterize over boxes
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@pytest.mark.parametrize("other", ["2017", pd.Period("2017", freq="D")])
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def test_eq(self, other):
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idx = PeriodIndex(["2017", "2017", "2018"], freq="D")
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expected = np.array([True, True, False])
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result = idx == other
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tm.assert_numpy_array_equal(result, expected)
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@pytest.mark.parametrize(
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"other",
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[
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2017,
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[2017, 2017, 2017],
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np.array([2017, 2017, 2017]),
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np.array([2017, 2017, 2017], dtype=object),
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pd.Index([2017, 2017, 2017]),
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],
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)
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def test_eq_integer_disallowed(self, other):
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# match Period semantics by not treating integers as Periods
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idx = PeriodIndex(["2017", "2017", "2018"], freq="D")
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expected = np.array([False, False, False])
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result = idx == other
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tm.assert_numpy_array_equal(result, expected)
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msg = "|".join(
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[
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"not supported between instances of 'Period' and 'int'",
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r"Invalid comparison between dtype=period\[D\] and ",
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]
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)
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with pytest.raises(TypeError, match=msg):
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idx < other
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with pytest.raises(TypeError, match=msg):
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idx > other
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with pytest.raises(TypeError, match=msg):
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idx <= other
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with pytest.raises(TypeError, match=msg):
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idx >= other
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def test_pi_cmp_period(self):
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idx = period_range("2007-01", periods=20, freq="M")
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result = idx < idx[10]
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exp = idx.values < idx.values[10]
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tm.assert_numpy_array_equal(result, exp)
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# TODO: moved from test_datetime64; de-duplicate with version below
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def test_parr_cmp_period_scalar2(self, box_with_array):
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xbox = box_with_array if box_with_array is not pd.Index else np.ndarray
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pi = pd.period_range("2000-01-01", periods=10, freq="D")
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val = Period("2000-01-04", freq="D")
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expected = [x > val for x in pi]
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ser = tm.box_expected(pi, box_with_array)
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expected = tm.box_expected(expected, xbox)
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result = ser > val
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tm.assert_equal(result, expected)
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val = pi[5]
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result = ser > val
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expected = [x > val for x in pi]
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expected = tm.box_expected(expected, xbox)
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tm.assert_equal(result, expected)
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@pytest.mark.parametrize("freq", ["M", "2M", "3M"])
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def test_parr_cmp_period_scalar(self, freq, box_with_array):
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# GH#13200
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xbox = np.ndarray if box_with_array is pd.Index else box_with_array
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base = PeriodIndex(["2011-01", "2011-02", "2011-03", "2011-04"], freq=freq)
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base = tm.box_expected(base, box_with_array)
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per = Period("2011-02", freq=freq)
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exp = np.array([False, True, False, False])
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exp = tm.box_expected(exp, xbox)
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tm.assert_equal(base == per, exp)
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tm.assert_equal(per == base, exp)
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exp = np.array([True, False, True, True])
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exp = tm.box_expected(exp, xbox)
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tm.assert_equal(base != per, exp)
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tm.assert_equal(per != base, exp)
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exp = np.array([False, False, True, True])
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exp = tm.box_expected(exp, xbox)
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tm.assert_equal(base > per, exp)
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tm.assert_equal(per < base, exp)
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exp = np.array([True, False, False, False])
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exp = tm.box_expected(exp, xbox)
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tm.assert_equal(base < per, exp)
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tm.assert_equal(per > base, exp)
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exp = np.array([False, True, True, True])
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exp = tm.box_expected(exp, xbox)
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tm.assert_equal(base >= per, exp)
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tm.assert_equal(per <= base, exp)
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exp = np.array([True, True, False, False])
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exp = tm.box_expected(exp, xbox)
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tm.assert_equal(base <= per, exp)
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tm.assert_equal(per >= base, exp)
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@pytest.mark.parametrize("freq", ["M", "2M", "3M"])
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def test_parr_cmp_pi(self, freq, box_with_array):
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# GH#13200
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xbox = np.ndarray if box_with_array is pd.Index else box_with_array
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base = PeriodIndex(["2011-01", "2011-02", "2011-03", "2011-04"], freq=freq)
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base = tm.box_expected(base, box_with_array)
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# TODO: could also box idx?
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idx = PeriodIndex(["2011-02", "2011-01", "2011-03", "2011-05"], freq=freq)
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exp = np.array([False, False, True, False])
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exp = tm.box_expected(exp, xbox)
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tm.assert_equal(base == idx, exp)
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exp = np.array([True, True, False, True])
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exp = tm.box_expected(exp, xbox)
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tm.assert_equal(base != idx, exp)
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exp = np.array([False, True, False, False])
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exp = tm.box_expected(exp, xbox)
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tm.assert_equal(base > idx, exp)
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exp = np.array([True, False, False, True])
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exp = tm.box_expected(exp, xbox)
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tm.assert_equal(base < idx, exp)
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exp = np.array([False, True, True, False])
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exp = tm.box_expected(exp, xbox)
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tm.assert_equal(base >= idx, exp)
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exp = np.array([True, False, True, True])
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exp = tm.box_expected(exp, xbox)
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tm.assert_equal(base <= idx, exp)
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@pytest.mark.parametrize("freq", ["M", "2M", "3M"])
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def test_parr_cmp_pi_mismatched_freq_raises(self, freq, box_with_array):
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# GH#13200
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# different base freq
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base = PeriodIndex(["2011-01", "2011-02", "2011-03", "2011-04"], freq=freq)
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base = tm.box_expected(base, box_with_array)
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msg = "Input has different freq=A-DEC from "
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with pytest.raises(IncompatibleFrequency, match=msg):
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base <= Period("2011", freq="A")
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with pytest.raises(IncompatibleFrequency, match=msg):
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Period("2011", freq="A") >= base
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# TODO: Could parametrize over boxes for idx?
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idx = PeriodIndex(["2011", "2012", "2013", "2014"], freq="A")
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rev_msg = r"Input has different freq=(M|2M|3M) from PeriodArray\(freq=A-DEC\)"
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idx_msg = rev_msg if box_with_array is tm.to_array else msg
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with pytest.raises(IncompatibleFrequency, match=idx_msg):
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base <= idx
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# Different frequency
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msg = "Input has different freq=4M from "
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with pytest.raises(IncompatibleFrequency, match=msg):
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base <= Period("2011", freq="4M")
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with pytest.raises(IncompatibleFrequency, match=msg):
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Period("2011", freq="4M") >= base
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idx = PeriodIndex(["2011", "2012", "2013", "2014"], freq="4M")
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rev_msg = r"Input has different freq=(M|2M|3M) from PeriodArray\(freq=4M\)"
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idx_msg = rev_msg if box_with_array is tm.to_array else msg
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with pytest.raises(IncompatibleFrequency, match=idx_msg):
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base <= idx
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@pytest.mark.parametrize("freq", ["M", "2M", "3M"])
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def test_pi_cmp_nat(self, freq):
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idx1 = PeriodIndex(["2011-01", "2011-02", "NaT", "2011-05"], freq=freq)
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result = idx1 > Period("2011-02", freq=freq)
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exp = np.array([False, False, False, True])
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tm.assert_numpy_array_equal(result, exp)
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result = Period("2011-02", freq=freq) < idx1
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tm.assert_numpy_array_equal(result, exp)
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result = idx1 == Period("NaT", freq=freq)
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exp = np.array([False, False, False, False])
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tm.assert_numpy_array_equal(result, exp)
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result = Period("NaT", freq=freq) == idx1
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tm.assert_numpy_array_equal(result, exp)
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result = idx1 != Period("NaT", freq=freq)
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exp = np.array([True, True, True, True])
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tm.assert_numpy_array_equal(result, exp)
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result = Period("NaT", freq=freq) != idx1
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tm.assert_numpy_array_equal(result, exp)
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idx2 = PeriodIndex(["2011-02", "2011-01", "2011-04", "NaT"], freq=freq)
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result = idx1 < idx2
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exp = np.array([True, False, False, False])
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tm.assert_numpy_array_equal(result, exp)
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result = idx1 == idx2
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exp = np.array([False, False, False, False])
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tm.assert_numpy_array_equal(result, exp)
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result = idx1 != idx2
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exp = np.array([True, True, True, True])
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tm.assert_numpy_array_equal(result, exp)
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result = idx1 == idx1
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exp = np.array([True, True, False, True])
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tm.assert_numpy_array_equal(result, exp)
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result = idx1 != idx1
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exp = np.array([False, False, True, False])
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tm.assert_numpy_array_equal(result, exp)
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@pytest.mark.parametrize("freq", ["M", "2M", "3M"])
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def test_pi_cmp_nat_mismatched_freq_raises(self, freq):
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idx1 = PeriodIndex(["2011-01", "2011-02", "NaT", "2011-05"], freq=freq)
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diff = PeriodIndex(["2011-02", "2011-01", "2011-04", "NaT"], freq="4M")
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msg = "Input has different freq=4M from Period(Array|Index)"
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with pytest.raises(IncompatibleFrequency, match=msg):
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idx1 > diff
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with pytest.raises(IncompatibleFrequency, match=msg):
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idx1 == diff
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# TODO: De-duplicate with test_pi_cmp_nat
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@pytest.mark.parametrize("dtype", [object, None])
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def test_comp_nat(self, dtype):
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left = pd.PeriodIndex(
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[pd.Period("2011-01-01"), pd.NaT, pd.Period("2011-01-03")]
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)
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right = pd.PeriodIndex([pd.NaT, pd.NaT, pd.Period("2011-01-03")])
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if dtype is not None:
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left = left.astype(dtype)
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right = right.astype(dtype)
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result = left == right
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expected = np.array([False, False, True])
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tm.assert_numpy_array_equal(result, expected)
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result = left != right
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expected = np.array([True, True, False])
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tm.assert_numpy_array_equal(result, expected)
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expected = np.array([False, False, False])
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tm.assert_numpy_array_equal(left == pd.NaT, expected)
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tm.assert_numpy_array_equal(pd.NaT == right, expected)
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expected = np.array([True, True, True])
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tm.assert_numpy_array_equal(left != pd.NaT, expected)
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tm.assert_numpy_array_equal(pd.NaT != left, expected)
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expected = np.array([False, False, False])
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tm.assert_numpy_array_equal(left < pd.NaT, expected)
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tm.assert_numpy_array_equal(pd.NaT > left, expected)
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class TestPeriodSeriesComparisons:
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def test_cmp_series_period_series_mixed_freq(self):
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# GH#13200
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base = Series(
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[
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Period("2011", freq="A"),
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Period("2011-02", freq="M"),
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Period("2013", freq="A"),
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Period("2011-04", freq="M"),
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]
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)
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ser = Series(
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[
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Period("2012", freq="A"),
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Period("2011-01", freq="M"),
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Period("2013", freq="A"),
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Period("2011-05", freq="M"),
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]
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)
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exp = Series([False, False, True, False])
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tm.assert_series_equal(base == ser, exp)
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exp = Series([True, True, False, True])
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tm.assert_series_equal(base != ser, exp)
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exp = Series([False, True, False, False])
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tm.assert_series_equal(base > ser, exp)
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exp = Series([True, False, False, True])
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tm.assert_series_equal(base < ser, exp)
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exp = Series([False, True, True, False])
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tm.assert_series_equal(base >= ser, exp)
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exp = Series([True, False, True, True])
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tm.assert_series_equal(base <= ser, exp)
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class TestPeriodIndexSeriesComparisonConsistency:
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""" Test PeriodIndex and Period Series Ops consistency """
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# TODO: needs parametrization+de-duplication
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def _check(self, values, func, expected):
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# Test PeriodIndex and Period Series Ops consistency
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idx = pd.PeriodIndex(values)
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result = func(idx)
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# check that we don't pass an unwanted type to tm.assert_equal
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assert isinstance(expected, (pd.Index, np.ndarray))
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tm.assert_equal(result, expected)
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s = pd.Series(values)
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result = func(s)
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exp = pd.Series(expected, name=values.name)
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tm.assert_series_equal(result, exp)
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def test_pi_comp_period(self):
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idx = PeriodIndex(
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["2011-01", "2011-02", "2011-03", "2011-04"], freq="M", name="idx"
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)
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f = lambda x: x == pd.Period("2011-03", freq="M")
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exp = np.array([False, False, True, False], dtype=np.bool_)
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self._check(idx, f, exp)
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f = lambda x: pd.Period("2011-03", freq="M") == x
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self._check(idx, f, exp)
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|
|
f = lambda x: x != pd.Period("2011-03", freq="M")
|
|
exp = np.array([True, True, False, True], dtype=np.bool_)
|
|
self._check(idx, f, exp)
|
|
f = lambda x: pd.Period("2011-03", freq="M") != x
|
|
self._check(idx, f, exp)
|
|
|
|
f = lambda x: pd.Period("2011-03", freq="M") >= x
|
|
exp = np.array([True, True, True, False], dtype=np.bool_)
|
|
self._check(idx, f, exp)
|
|
|
|
f = lambda x: x > pd.Period("2011-03", freq="M")
|
|
exp = np.array([False, False, False, True], dtype=np.bool_)
|
|
self._check(idx, f, exp)
|
|
|
|
f = lambda x: pd.Period("2011-03", freq="M") >= x
|
|
exp = np.array([True, True, True, False], dtype=np.bool_)
|
|
self._check(idx, f, exp)
|
|
|
|
def test_pi_comp_period_nat(self):
|
|
idx = PeriodIndex(
|
|
["2011-01", "NaT", "2011-03", "2011-04"], freq="M", name="idx"
|
|
)
|
|
|
|
f = lambda x: x == pd.Period("2011-03", freq="M")
|
|
exp = np.array([False, False, True, False], dtype=np.bool_)
|
|
self._check(idx, f, exp)
|
|
f = lambda x: pd.Period("2011-03", freq="M") == x
|
|
self._check(idx, f, exp)
|
|
|
|
f = lambda x: x == pd.NaT
|
|
exp = np.array([False, False, False, False], dtype=np.bool_)
|
|
self._check(idx, f, exp)
|
|
f = lambda x: pd.NaT == x
|
|
self._check(idx, f, exp)
|
|
|
|
f = lambda x: x != pd.Period("2011-03", freq="M")
|
|
exp = np.array([True, True, False, True], dtype=np.bool_)
|
|
self._check(idx, f, exp)
|
|
f = lambda x: pd.Period("2011-03", freq="M") != x
|
|
self._check(idx, f, exp)
|
|
|
|
f = lambda x: x != pd.NaT
|
|
exp = np.array([True, True, True, True], dtype=np.bool_)
|
|
self._check(idx, f, exp)
|
|
f = lambda x: pd.NaT != x
|
|
self._check(idx, f, exp)
|
|
|
|
f = lambda x: pd.Period("2011-03", freq="M") >= x
|
|
exp = np.array([True, False, True, False], dtype=np.bool_)
|
|
self._check(idx, f, exp)
|
|
|
|
f = lambda x: x < pd.Period("2011-03", freq="M")
|
|
exp = np.array([True, False, False, False], dtype=np.bool_)
|
|
self._check(idx, f, exp)
|
|
|
|
f = lambda x: x > pd.NaT
|
|
exp = np.array([False, False, False, False], dtype=np.bool_)
|
|
self._check(idx, f, exp)
|
|
|
|
f = lambda x: pd.NaT >= x
|
|
exp = np.array([False, False, False, False], dtype=np.bool_)
|
|
self._check(idx, f, exp)
|
|
|
|
|
|
# ------------------------------------------------------------------
|
|
# Arithmetic
|
|
|
|
|
|
class TestPeriodFrameArithmetic:
|
|
def test_ops_frame_period(self):
|
|
# GH#13043
|
|
df = pd.DataFrame(
|
|
{
|
|
"A": [pd.Period("2015-01", freq="M"), pd.Period("2015-02", freq="M")],
|
|
"B": [pd.Period("2014-01", freq="M"), pd.Period("2014-02", freq="M")],
|
|
}
|
|
)
|
|
assert df["A"].dtype == "Period[M]"
|
|
assert df["B"].dtype == "Period[M]"
|
|
|
|
p = pd.Period("2015-03", freq="M")
|
|
off = p.freq
|
|
# dtype will be object because of original dtype
|
|
exp = pd.DataFrame(
|
|
{
|
|
"A": np.array([2 * off, 1 * off], dtype=object),
|
|
"B": np.array([14 * off, 13 * off], dtype=object),
|
|
}
|
|
)
|
|
tm.assert_frame_equal(p - df, exp)
|
|
tm.assert_frame_equal(df - p, -1 * exp)
|
|
|
|
df2 = pd.DataFrame(
|
|
{
|
|
"A": [pd.Period("2015-05", freq="M"), pd.Period("2015-06", freq="M")],
|
|
"B": [pd.Period("2015-05", freq="M"), pd.Period("2015-06", freq="M")],
|
|
}
|
|
)
|
|
assert df2["A"].dtype == "Period[M]"
|
|
assert df2["B"].dtype == "Period[M]"
|
|
|
|
exp = pd.DataFrame(
|
|
{
|
|
"A": np.array([4 * off, 4 * off], dtype=object),
|
|
"B": np.array([16 * off, 16 * off], dtype=object),
|
|
}
|
|
)
|
|
tm.assert_frame_equal(df2 - df, exp)
|
|
tm.assert_frame_equal(df - df2, -1 * exp)
|
|
|
|
|
|
class TestPeriodIndexArithmetic:
|
|
# ---------------------------------------------------------------
|
|
# __add__/__sub__ with PeriodIndex
|
|
# PeriodIndex + other is defined for integers and timedelta-like others
|
|
# PeriodIndex - other is defined for integers, timedelta-like others,
|
|
# and PeriodIndex (with matching freq)
|
|
|
|
def test_parr_add_iadd_parr_raises(self, box_with_array):
|
|
rng = pd.period_range("1/1/2000", freq="D", periods=5)
|
|
other = pd.period_range("1/6/2000", freq="D", periods=5)
|
|
# TODO: parametrize over boxes for other?
|
|
|
|
rng = tm.box_expected(rng, box_with_array)
|
|
# An earlier implementation of PeriodIndex addition performed
|
|
# a set operation (union). This has since been changed to
|
|
# raise a TypeError. See GH#14164 and GH#13077 for historical
|
|
# reference.
|
|
msg = r"unsupported operand type\(s\) for \+: .* and .*"
|
|
with pytest.raises(TypeError, match=msg):
|
|
rng + other
|
|
|
|
with pytest.raises(TypeError, match=msg):
|
|
rng += other
|
|
|
|
def test_pi_sub_isub_pi(self):
|
|
# GH#20049
|
|
# For historical reference see GH#14164, GH#13077.
|
|
# PeriodIndex subtraction originally performed set difference,
|
|
# then changed to raise TypeError before being implemented in GH#20049
|
|
rng = pd.period_range("1/1/2000", freq="D", periods=5)
|
|
other = pd.period_range("1/6/2000", freq="D", periods=5)
|
|
|
|
off = rng.freq
|
|
expected = pd.Index([-5 * off] * 5)
|
|
result = rng - other
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
rng -= other
|
|
tm.assert_index_equal(rng, expected)
|
|
|
|
def test_pi_sub_pi_with_nat(self):
|
|
rng = pd.period_range("1/1/2000", freq="D", periods=5)
|
|
other = rng[1:].insert(0, pd.NaT)
|
|
assert other[1:].equals(rng[1:])
|
|
|
|
result = rng - other
|
|
off = rng.freq
|
|
expected = pd.Index([pd.NaT, 0 * off, 0 * off, 0 * off, 0 * off])
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
def test_parr_sub_pi_mismatched_freq(self, box_with_array):
|
|
rng = pd.period_range("1/1/2000", freq="D", periods=5)
|
|
other = pd.period_range("1/6/2000", freq="H", periods=5)
|
|
# TODO: parametrize over boxes for other?
|
|
|
|
rng = tm.box_expected(rng, box_with_array)
|
|
msg = r"Input has different freq=[HD] from PeriodArray\(freq=[DH]\)"
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
rng - other
|
|
|
|
@pytest.mark.parametrize("n", [1, 2, 3, 4])
|
|
def test_sub_n_gt_1_ticks(self, tick_classes, n):
|
|
# GH 23878
|
|
p1_d = "19910905"
|
|
p2_d = "19920406"
|
|
p1 = pd.PeriodIndex([p1_d], freq=tick_classes(n))
|
|
p2 = pd.PeriodIndex([p2_d], freq=tick_classes(n))
|
|
|
|
expected = pd.PeriodIndex([p2_d], freq=p2.freq.base) - pd.PeriodIndex(
|
|
[p1_d], freq=p1.freq.base
|
|
)
|
|
|
|
tm.assert_index_equal((p2 - p1), expected)
|
|
|
|
@pytest.mark.parametrize("n", [1, 2, 3, 4])
|
|
@pytest.mark.parametrize(
|
|
"offset, kwd_name",
|
|
[
|
|
(pd.offsets.YearEnd, "month"),
|
|
(pd.offsets.QuarterEnd, "startingMonth"),
|
|
(pd.offsets.MonthEnd, None),
|
|
(pd.offsets.Week, "weekday"),
|
|
],
|
|
)
|
|
def test_sub_n_gt_1_offsets(self, offset, kwd_name, n):
|
|
# GH 23878
|
|
kwds = {kwd_name: 3} if kwd_name is not None else {}
|
|
p1_d = "19910905"
|
|
p2_d = "19920406"
|
|
freq = offset(n, normalize=False, **kwds)
|
|
p1 = pd.PeriodIndex([p1_d], freq=freq)
|
|
p2 = pd.PeriodIndex([p2_d], freq=freq)
|
|
|
|
result = p2 - p1
|
|
expected = pd.PeriodIndex([p2_d], freq=freq.base) - pd.PeriodIndex(
|
|
[p1_d], freq=freq.base
|
|
)
|
|
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
# -------------------------------------------------------------
|
|
# Invalid Operations
|
|
|
|
@pytest.mark.parametrize("other", [3.14, np.array([2.0, 3.0])])
|
|
@pytest.mark.parametrize("op", [operator.add, ops.radd, operator.sub, ops.rsub])
|
|
def test_parr_add_sub_float_raises(self, op, other, box_with_array):
|
|
dti = pd.DatetimeIndex(["2011-01-01", "2011-01-02"], freq="D")
|
|
pi = dti.to_period("D")
|
|
pi = tm.box_expected(pi, box_with_array)
|
|
msg = (
|
|
r"unsupported operand type\(s\) for [+-]: .* and .*|"
|
|
"Concatenation operation is not implemented for NumPy arrays"
|
|
)
|
|
|
|
with pytest.raises(TypeError, match=msg):
|
|
op(pi, other)
|
|
|
|
@pytest.mark.parametrize(
|
|
"other",
|
|
[
|
|
# datetime scalars
|
|
pd.Timestamp.now(),
|
|
pd.Timestamp.now().to_pydatetime(),
|
|
pd.Timestamp.now().to_datetime64(),
|
|
# datetime-like arrays
|
|
pd.date_range("2016-01-01", periods=3, freq="H"),
|
|
pd.date_range("2016-01-01", periods=3, tz="Europe/Brussels"),
|
|
pd.date_range("2016-01-01", periods=3, freq="S")._data,
|
|
pd.date_range("2016-01-01", periods=3, tz="Asia/Tokyo")._data,
|
|
# Miscellaneous invalid types
|
|
],
|
|
)
|
|
def test_parr_add_sub_invalid(self, other, box_with_array):
|
|
# GH#23215
|
|
rng = pd.period_range("1/1/2000", freq="D", periods=3)
|
|
rng = tm.box_expected(rng, box_with_array)
|
|
|
|
msg = (
|
|
r"(:?cannot add PeriodArray and .*)"
|
|
r"|(:?cannot subtract .* from (:?a\s)?.*)"
|
|
r"|(:?unsupported operand type\(s\) for \+: .* and .*)"
|
|
)
|
|
with pytest.raises(TypeError, match=msg):
|
|
rng + other
|
|
with pytest.raises(TypeError, match=msg):
|
|
other + rng
|
|
with pytest.raises(TypeError, match=msg):
|
|
rng - other
|
|
with pytest.raises(TypeError, match=msg):
|
|
other - rng
|
|
|
|
# -----------------------------------------------------------------
|
|
# __add__/__sub__ with ndarray[datetime64] and ndarray[timedelta64]
|
|
|
|
def test_pi_add_sub_td64_array_non_tick_raises(self):
|
|
rng = pd.period_range("1/1/2000", freq="Q", periods=3)
|
|
tdi = pd.TimedeltaIndex(["-1 Day", "-1 Day", "-1 Day"])
|
|
tdarr = tdi.values
|
|
|
|
msg = r"Cannot add or subtract timedelta64\[ns\] dtype from period\[Q-DEC\]"
|
|
with pytest.raises(TypeError, match=msg):
|
|
rng + tdarr
|
|
with pytest.raises(TypeError, match=msg):
|
|
tdarr + rng
|
|
|
|
with pytest.raises(TypeError, match=msg):
|
|
rng - tdarr
|
|
msg = r"cannot subtract PeriodArray from timedelta64\[ns\]"
|
|
with pytest.raises(TypeError, match=msg):
|
|
tdarr - rng
|
|
|
|
def test_pi_add_sub_td64_array_tick(self):
|
|
# PeriodIndex + Timedelta-like is allowed only with
|
|
# tick-like frequencies
|
|
rng = pd.period_range("1/1/2000", freq="90D", periods=3)
|
|
tdi = pd.TimedeltaIndex(["-1 Day", "-1 Day", "-1 Day"])
|
|
tdarr = tdi.values
|
|
|
|
expected = pd.period_range("12/31/1999", freq="90D", periods=3)
|
|
result = rng + tdi
|
|
tm.assert_index_equal(result, expected)
|
|
result = rng + tdarr
|
|
tm.assert_index_equal(result, expected)
|
|
result = tdi + rng
|
|
tm.assert_index_equal(result, expected)
|
|
result = tdarr + rng
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
expected = pd.period_range("1/2/2000", freq="90D", periods=3)
|
|
|
|
result = rng - tdi
|
|
tm.assert_index_equal(result, expected)
|
|
result = rng - tdarr
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
msg = r"cannot subtract .* from .*"
|
|
with pytest.raises(TypeError, match=msg):
|
|
tdarr - rng
|
|
|
|
with pytest.raises(TypeError, match=msg):
|
|
tdi - rng
|
|
|
|
@pytest.mark.parametrize("pi_freq", ["D", "W", "Q", "H"])
|
|
@pytest.mark.parametrize("tdi_freq", [None, "H"])
|
|
def test_parr_sub_td64array(self, box_with_array, tdi_freq, pi_freq):
|
|
box = box_with_array
|
|
xbox = box if box is not tm.to_array else pd.Index
|
|
|
|
tdi = TimedeltaIndex(["1 hours", "2 hours"], freq=tdi_freq)
|
|
dti = Timestamp("2018-03-07 17:16:40") + tdi
|
|
pi = dti.to_period(pi_freq)
|
|
|
|
# TODO: parametrize over box for pi?
|
|
td64obj = tm.box_expected(tdi, box)
|
|
|
|
if pi_freq == "H":
|
|
result = pi - td64obj
|
|
expected = (pi.to_timestamp("S") - tdi).to_period(pi_freq)
|
|
expected = tm.box_expected(expected, xbox)
|
|
tm.assert_equal(result, expected)
|
|
|
|
# Subtract from scalar
|
|
result = pi[0] - td64obj
|
|
expected = (pi[0].to_timestamp("S") - tdi).to_period(pi_freq)
|
|
expected = tm.box_expected(expected, box)
|
|
tm.assert_equal(result, expected)
|
|
|
|
elif pi_freq == "D":
|
|
# Tick, but non-compatible
|
|
msg = "Input has different freq=None from PeriodArray"
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
pi - td64obj
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
pi[0] - td64obj
|
|
|
|
else:
|
|
# With non-Tick freq, we could not add timedelta64 array regardless
|
|
# of what its resolution is
|
|
msg = "Cannot add or subtract timedelta64"
|
|
with pytest.raises(TypeError, match=msg):
|
|
pi - td64obj
|
|
with pytest.raises(TypeError, match=msg):
|
|
pi[0] - td64obj
|
|
|
|
# -----------------------------------------------------------------
|
|
# operations with array/Index of DateOffset objects
|
|
|
|
@pytest.mark.parametrize("box", [np.array, pd.Index])
|
|
def test_pi_add_offset_array(self, box):
|
|
# GH#18849
|
|
pi = pd.PeriodIndex([pd.Period("2015Q1"), pd.Period("2016Q2")])
|
|
offs = box(
|
|
[
|
|
pd.offsets.QuarterEnd(n=1, startingMonth=12),
|
|
pd.offsets.QuarterEnd(n=-2, startingMonth=12),
|
|
]
|
|
)
|
|
expected = pd.PeriodIndex([pd.Period("2015Q2"), pd.Period("2015Q4")])
|
|
|
|
with tm.assert_produces_warning(PerformanceWarning):
|
|
res = pi + offs
|
|
tm.assert_index_equal(res, expected)
|
|
|
|
with tm.assert_produces_warning(PerformanceWarning):
|
|
res2 = offs + pi
|
|
tm.assert_index_equal(res2, expected)
|
|
|
|
unanchored = np.array([pd.offsets.Hour(n=1), pd.offsets.Minute(n=-2)])
|
|
# addition/subtraction ops with incompatible offsets should issue
|
|
# a PerformanceWarning and _then_ raise a TypeError.
|
|
msg = r"Input cannot be converted to Period\(freq=Q-DEC\)"
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
with tm.assert_produces_warning(PerformanceWarning):
|
|
pi + unanchored
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
with tm.assert_produces_warning(PerformanceWarning):
|
|
unanchored + pi
|
|
|
|
@pytest.mark.parametrize("box", [np.array, pd.Index])
|
|
def test_pi_sub_offset_array(self, box):
|
|
# GH#18824
|
|
pi = pd.PeriodIndex([pd.Period("2015Q1"), pd.Period("2016Q2")])
|
|
other = box(
|
|
[
|
|
pd.offsets.QuarterEnd(n=1, startingMonth=12),
|
|
pd.offsets.QuarterEnd(n=-2, startingMonth=12),
|
|
]
|
|
)
|
|
|
|
expected = PeriodIndex([pi[n] - other[n] for n in range(len(pi))])
|
|
|
|
with tm.assert_produces_warning(PerformanceWarning):
|
|
res = pi - other
|
|
tm.assert_index_equal(res, expected)
|
|
|
|
anchored = box([pd.offsets.MonthEnd(), pd.offsets.Day(n=2)])
|
|
|
|
# addition/subtraction ops with anchored offsets should issue
|
|
# a PerformanceWarning and _then_ raise a TypeError.
|
|
msg = r"Input has different freq=-1M from Period\(freq=Q-DEC\)"
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
with tm.assert_produces_warning(PerformanceWarning):
|
|
pi - anchored
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
with tm.assert_produces_warning(PerformanceWarning):
|
|
anchored - pi
|
|
|
|
def test_pi_add_iadd_int(self, one):
|
|
# Variants of `one` for #19012
|
|
rng = pd.period_range("2000-01-01 09:00", freq="H", periods=10)
|
|
result = rng + one
|
|
expected = pd.period_range("2000-01-01 10:00", freq="H", periods=10)
|
|
tm.assert_index_equal(result, expected)
|
|
rng += one
|
|
tm.assert_index_equal(rng, expected)
|
|
|
|
def test_pi_sub_isub_int(self, one):
|
|
"""
|
|
PeriodIndex.__sub__ and __isub__ with several representations of
|
|
the integer 1, e.g. int, np.int64, np.uint8, ...
|
|
"""
|
|
rng = pd.period_range("2000-01-01 09:00", freq="H", periods=10)
|
|
result = rng - one
|
|
expected = pd.period_range("2000-01-01 08:00", freq="H", periods=10)
|
|
tm.assert_index_equal(result, expected)
|
|
rng -= one
|
|
tm.assert_index_equal(rng, expected)
|
|
|
|
@pytest.mark.parametrize("five", [5, np.array(5, dtype=np.int64)])
|
|
def test_pi_sub_intlike(self, five):
|
|
rng = period_range("2007-01", periods=50)
|
|
|
|
result = rng - five
|
|
exp = rng + (-five)
|
|
tm.assert_index_equal(result, exp)
|
|
|
|
def test_pi_sub_isub_offset(self):
|
|
# offset
|
|
# DateOffset
|
|
rng = pd.period_range("2014", "2024", freq="A")
|
|
result = rng - pd.offsets.YearEnd(5)
|
|
expected = pd.period_range("2009", "2019", freq="A")
|
|
tm.assert_index_equal(result, expected)
|
|
rng -= pd.offsets.YearEnd(5)
|
|
tm.assert_index_equal(rng, expected)
|
|
|
|
rng = pd.period_range("2014-01", "2016-12", freq="M")
|
|
result = rng - pd.offsets.MonthEnd(5)
|
|
expected = pd.period_range("2013-08", "2016-07", freq="M")
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
rng -= pd.offsets.MonthEnd(5)
|
|
tm.assert_index_equal(rng, expected)
|
|
|
|
@pytest.mark.parametrize("transpose", [True, False])
|
|
def test_pi_add_offset_n_gt1(self, box_with_array, transpose):
|
|
# GH#23215
|
|
# add offset to PeriodIndex with freq.n > 1
|
|
|
|
per = pd.Period("2016-01", freq="2M")
|
|
pi = pd.PeriodIndex([per])
|
|
|
|
expected = pd.PeriodIndex(["2016-03"], freq="2M")
|
|
|
|
pi = tm.box_expected(pi, box_with_array, transpose=transpose)
|
|
expected = tm.box_expected(expected, box_with_array, transpose=transpose)
|
|
|
|
result = pi + per.freq
|
|
tm.assert_equal(result, expected)
|
|
|
|
result = per.freq + pi
|
|
tm.assert_equal(result, expected)
|
|
|
|
def test_pi_add_offset_n_gt1_not_divisible(self, box_with_array):
|
|
# GH#23215
|
|
# PeriodIndex with freq.n > 1 add offset with offset.n % freq.n != 0
|
|
pi = pd.PeriodIndex(["2016-01"], freq="2M")
|
|
expected = pd.PeriodIndex(["2016-04"], freq="2M")
|
|
|
|
pi = tm.box_expected(pi, box_with_array)
|
|
expected = tm.box_expected(expected, box_with_array)
|
|
|
|
result = pi + to_offset("3M")
|
|
tm.assert_equal(result, expected)
|
|
|
|
result = to_offset("3M") + pi
|
|
tm.assert_equal(result, expected)
|
|
|
|
# ---------------------------------------------------------------
|
|
# __add__/__sub__ with integer arrays
|
|
|
|
@pytest.mark.parametrize("int_holder", [np.array, pd.Index])
|
|
@pytest.mark.parametrize("op", [operator.add, ops.radd])
|
|
def test_pi_add_intarray(self, int_holder, op):
|
|
# GH#19959
|
|
pi = pd.PeriodIndex([pd.Period("2015Q1"), pd.Period("NaT")])
|
|
other = int_holder([4, -1])
|
|
|
|
result = op(pi, other)
|
|
expected = pd.PeriodIndex([pd.Period("2016Q1"), pd.Period("NaT")])
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
@pytest.mark.parametrize("int_holder", [np.array, pd.Index])
|
|
def test_pi_sub_intarray(self, int_holder):
|
|
# GH#19959
|
|
pi = pd.PeriodIndex([pd.Period("2015Q1"), pd.Period("NaT")])
|
|
other = int_holder([4, -1])
|
|
|
|
result = pi - other
|
|
expected = pd.PeriodIndex([pd.Period("2014Q1"), pd.Period("NaT")])
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
msg = r"bad operand type for unary -: 'PeriodArray'"
|
|
with pytest.raises(TypeError, match=msg):
|
|
other - pi
|
|
|
|
# ---------------------------------------------------------------
|
|
# Timedelta-like (timedelta, timedelta64, Timedelta, Tick)
|
|
# TODO: Some of these are misnomers because of non-Tick DateOffsets
|
|
|
|
def test_pi_add_timedeltalike_minute_gt1(self, three_days):
|
|
# GH#23031 adding a time-delta-like offset to a PeriodArray that has
|
|
# minute frequency with n != 1. A more general case is tested below
|
|
# in test_pi_add_timedeltalike_tick_gt1, but here we write out the
|
|
# expected result more explicitly.
|
|
other = three_days
|
|
rng = pd.period_range("2014-05-01", periods=3, freq="2D")
|
|
|
|
expected = pd.PeriodIndex(["2014-05-04", "2014-05-06", "2014-05-08"], freq="2D")
|
|
|
|
result = rng + other
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
result = other + rng
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
# subtraction
|
|
expected = pd.PeriodIndex(["2014-04-28", "2014-04-30", "2014-05-02"], freq="2D")
|
|
result = rng - other
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
msg = (
|
|
r"(:?bad operand type for unary -: 'PeriodArray')"
|
|
r"|(:?cannot subtract PeriodArray from timedelta64\[[hD]\])"
|
|
)
|
|
with pytest.raises(TypeError, match=msg):
|
|
other - rng
|
|
|
|
@pytest.mark.parametrize("freqstr", ["5ns", "5us", "5ms", "5s", "5T", "5h", "5d"])
|
|
def test_pi_add_timedeltalike_tick_gt1(self, three_days, freqstr):
|
|
# GH#23031 adding a time-delta-like offset to a PeriodArray that has
|
|
# tick-like frequency with n != 1
|
|
other = three_days
|
|
rng = pd.period_range("2014-05-01", periods=6, freq=freqstr)
|
|
|
|
expected = pd.period_range(rng[0] + other, periods=6, freq=freqstr)
|
|
|
|
result = rng + other
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
result = other + rng
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
# subtraction
|
|
expected = pd.period_range(rng[0] - other, periods=6, freq=freqstr)
|
|
result = rng - other
|
|
tm.assert_index_equal(result, expected)
|
|
msg = (
|
|
r"(:?bad operand type for unary -: 'PeriodArray')"
|
|
r"|(:?cannot subtract PeriodArray from timedelta64\[[hD]\])"
|
|
)
|
|
with pytest.raises(TypeError, match=msg):
|
|
other - rng
|
|
|
|
def test_pi_add_iadd_timedeltalike_daily(self, three_days):
|
|
# Tick
|
|
other = three_days
|
|
rng = pd.period_range("2014-05-01", "2014-05-15", freq="D")
|
|
expected = pd.period_range("2014-05-04", "2014-05-18", freq="D")
|
|
|
|
result = rng + other
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
rng += other
|
|
tm.assert_index_equal(rng, expected)
|
|
|
|
def test_pi_sub_isub_timedeltalike_daily(self, three_days):
|
|
# Tick-like 3 Days
|
|
other = three_days
|
|
rng = pd.period_range("2014-05-01", "2014-05-15", freq="D")
|
|
expected = pd.period_range("2014-04-28", "2014-05-12", freq="D")
|
|
|
|
result = rng - other
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
rng -= other
|
|
tm.assert_index_equal(rng, expected)
|
|
|
|
def test_pi_add_sub_timedeltalike_freq_mismatch_daily(self, not_daily):
|
|
other = not_daily
|
|
rng = pd.period_range("2014-05-01", "2014-05-15", freq="D")
|
|
msg = "Input has different freq(=.+)? from Period.*?\\(freq=D\\)"
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
rng + other
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
rng += other
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
rng - other
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
rng -= other
|
|
|
|
def test_pi_add_iadd_timedeltalike_hourly(self, two_hours):
|
|
other = two_hours
|
|
rng = pd.period_range("2014-01-01 10:00", "2014-01-05 10:00", freq="H")
|
|
expected = pd.period_range("2014-01-01 12:00", "2014-01-05 12:00", freq="H")
|
|
|
|
result = rng + other
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
rng += other
|
|
tm.assert_index_equal(rng, expected)
|
|
|
|
def test_pi_add_timedeltalike_mismatched_freq_hourly(self, not_hourly):
|
|
other = not_hourly
|
|
rng = pd.period_range("2014-01-01 10:00", "2014-01-05 10:00", freq="H")
|
|
msg = "Input has different freq(=.+)? from Period.*?\\(freq=H\\)"
|
|
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
rng + other
|
|
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
rng += other
|
|
|
|
def test_pi_sub_isub_timedeltalike_hourly(self, two_hours):
|
|
other = two_hours
|
|
rng = pd.period_range("2014-01-01 10:00", "2014-01-05 10:00", freq="H")
|
|
expected = pd.period_range("2014-01-01 08:00", "2014-01-05 08:00", freq="H")
|
|
|
|
result = rng - other
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
rng -= other
|
|
tm.assert_index_equal(rng, expected)
|
|
|
|
def test_add_iadd_timedeltalike_annual(self):
|
|
# offset
|
|
# DateOffset
|
|
rng = pd.period_range("2014", "2024", freq="A")
|
|
result = rng + pd.offsets.YearEnd(5)
|
|
expected = pd.period_range("2019", "2029", freq="A")
|
|
tm.assert_index_equal(result, expected)
|
|
rng += pd.offsets.YearEnd(5)
|
|
tm.assert_index_equal(rng, expected)
|
|
|
|
def test_pi_add_sub_timedeltalike_freq_mismatch_annual(self, mismatched_freq):
|
|
other = mismatched_freq
|
|
rng = pd.period_range("2014", "2024", freq="A")
|
|
msg = "Input has different freq(=.+)? from Period.*?\\(freq=A-DEC\\)"
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
rng + other
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
rng += other
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
rng - other
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
rng -= other
|
|
|
|
def test_pi_add_iadd_timedeltalike_M(self):
|
|
rng = pd.period_range("2014-01", "2016-12", freq="M")
|
|
expected = pd.period_range("2014-06", "2017-05", freq="M")
|
|
|
|
result = rng + pd.offsets.MonthEnd(5)
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
rng += pd.offsets.MonthEnd(5)
|
|
tm.assert_index_equal(rng, expected)
|
|
|
|
def test_pi_add_sub_timedeltalike_freq_mismatch_monthly(self, mismatched_freq):
|
|
other = mismatched_freq
|
|
rng = pd.period_range("2014-01", "2016-12", freq="M")
|
|
msg = "Input has different freq(=.+)? from Period.*?\\(freq=M\\)"
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
rng + other
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
rng += other
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
rng - other
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
rng -= other
|
|
|
|
@pytest.mark.parametrize("transpose", [True, False])
|
|
def test_parr_add_sub_td64_nat(self, box_with_array, transpose):
|
|
# GH#23320 special handling for timedelta64("NaT")
|
|
pi = pd.period_range("1994-04-01", periods=9, freq="19D")
|
|
other = np.timedelta64("NaT")
|
|
expected = pd.PeriodIndex(["NaT"] * 9, freq="19D")
|
|
|
|
obj = tm.box_expected(pi, box_with_array, transpose=transpose)
|
|
expected = tm.box_expected(expected, box_with_array, transpose=transpose)
|
|
|
|
result = obj + other
|
|
tm.assert_equal(result, expected)
|
|
result = other + obj
|
|
tm.assert_equal(result, expected)
|
|
result = obj - other
|
|
tm.assert_equal(result, expected)
|
|
msg = r"cannot subtract .* from .*"
|
|
with pytest.raises(TypeError, match=msg):
|
|
other - obj
|
|
|
|
@pytest.mark.parametrize(
|
|
"other",
|
|
[
|
|
np.array(["NaT"] * 9, dtype="m8[ns]"),
|
|
TimedeltaArray._from_sequence(["NaT"] * 9),
|
|
],
|
|
)
|
|
def test_parr_add_sub_tdt64_nat_array(self, box_with_array, other):
|
|
pi = pd.period_range("1994-04-01", periods=9, freq="19D")
|
|
expected = pd.PeriodIndex(["NaT"] * 9, freq="19D")
|
|
|
|
obj = tm.box_expected(pi, box_with_array)
|
|
expected = tm.box_expected(expected, box_with_array)
|
|
|
|
result = obj + other
|
|
tm.assert_equal(result, expected)
|
|
result = other + obj
|
|
tm.assert_equal(result, expected)
|
|
result = obj - other
|
|
tm.assert_equal(result, expected)
|
|
msg = r"cannot subtract .* from .*"
|
|
with pytest.raises(TypeError, match=msg):
|
|
other - obj
|
|
|
|
# ---------------------------------------------------------------
|
|
# Unsorted
|
|
|
|
def test_parr_add_sub_index(self):
|
|
# Check that PeriodArray defers to Index on arithmetic ops
|
|
pi = pd.period_range("2000-12-31", periods=3)
|
|
parr = pi.array
|
|
|
|
result = parr - pi
|
|
expected = pi - pi
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
def test_parr_add_sub_object_array(self):
|
|
pi = pd.period_range("2000-12-31", periods=3, freq="D")
|
|
parr = pi.array
|
|
|
|
other = np.array([pd.Timedelta(days=1), pd.offsets.Day(2), 3])
|
|
|
|
with tm.assert_produces_warning(PerformanceWarning):
|
|
result = parr + other
|
|
|
|
expected = pd.PeriodIndex(
|
|
["2001-01-01", "2001-01-03", "2001-01-05"], freq="D"
|
|
).array
|
|
tm.assert_equal(result, expected)
|
|
|
|
with tm.assert_produces_warning(PerformanceWarning):
|
|
result = parr - other
|
|
|
|
expected = pd.PeriodIndex(["2000-12-30"] * 3, freq="D").array
|
|
tm.assert_equal(result, expected)
|
|
|
|
|
|
class TestPeriodSeriesArithmetic:
|
|
def test_ops_series_timedelta(self):
|
|
# GH#13043
|
|
ser = pd.Series(
|
|
[pd.Period("2015-01-01", freq="D"), pd.Period("2015-01-02", freq="D")],
|
|
name="xxx",
|
|
)
|
|
assert ser.dtype == "Period[D]"
|
|
|
|
expected = pd.Series(
|
|
[pd.Period("2015-01-02", freq="D"), pd.Period("2015-01-03", freq="D")],
|
|
name="xxx",
|
|
)
|
|
|
|
result = ser + pd.Timedelta("1 days")
|
|
tm.assert_series_equal(result, expected)
|
|
|
|
result = pd.Timedelta("1 days") + ser
|
|
tm.assert_series_equal(result, expected)
|
|
|
|
result = ser + pd.tseries.offsets.Day()
|
|
tm.assert_series_equal(result, expected)
|
|
|
|
result = pd.tseries.offsets.Day() + ser
|
|
tm.assert_series_equal(result, expected)
|
|
|
|
def test_ops_series_period(self):
|
|
# GH#13043
|
|
ser = pd.Series(
|
|
[pd.Period("2015-01-01", freq="D"), pd.Period("2015-01-02", freq="D")],
|
|
name="xxx",
|
|
)
|
|
assert ser.dtype == "Period[D]"
|
|
|
|
per = pd.Period("2015-01-10", freq="D")
|
|
off = per.freq
|
|
# dtype will be object because of original dtype
|
|
expected = pd.Series([9 * off, 8 * off], name="xxx", dtype=object)
|
|
tm.assert_series_equal(per - ser, expected)
|
|
tm.assert_series_equal(ser - per, -1 * expected)
|
|
|
|
s2 = pd.Series(
|
|
[pd.Period("2015-01-05", freq="D"), pd.Period("2015-01-04", freq="D")],
|
|
name="xxx",
|
|
)
|
|
assert s2.dtype == "Period[D]"
|
|
|
|
expected = pd.Series([4 * off, 2 * off], name="xxx", dtype=object)
|
|
tm.assert_series_equal(s2 - ser, expected)
|
|
tm.assert_series_equal(ser - s2, -1 * expected)
|
|
|
|
|
|
class TestPeriodIndexSeriesMethods:
|
|
""" Test PeriodIndex and Period Series Ops consistency """
|
|
|
|
def _check(self, values, func, expected):
|
|
idx = pd.PeriodIndex(values)
|
|
result = func(idx)
|
|
tm.assert_equal(result, expected)
|
|
|
|
ser = pd.Series(values)
|
|
result = func(ser)
|
|
|
|
exp = pd.Series(expected, name=values.name)
|
|
tm.assert_series_equal(result, exp)
|
|
|
|
def test_pi_ops(self):
|
|
idx = PeriodIndex(
|
|
["2011-01", "2011-02", "2011-03", "2011-04"], freq="M", name="idx"
|
|
)
|
|
|
|
expected = PeriodIndex(
|
|
["2011-03", "2011-04", "2011-05", "2011-06"], freq="M", name="idx"
|
|
)
|
|
|
|
self._check(idx, lambda x: x + 2, expected)
|
|
self._check(idx, lambda x: 2 + x, expected)
|
|
|
|
self._check(idx + 2, lambda x: x - 2, idx)
|
|
|
|
result = idx - Period("2011-01", freq="M")
|
|
off = idx.freq
|
|
exp = pd.Index([0 * off, 1 * off, 2 * off, 3 * off], name="idx")
|
|
tm.assert_index_equal(result, exp)
|
|
|
|
result = Period("2011-01", freq="M") - idx
|
|
exp = pd.Index([0 * off, -1 * off, -2 * off, -3 * off], name="idx")
|
|
tm.assert_index_equal(result, exp)
|
|
|
|
@pytest.mark.parametrize("ng", ["str", 1.5])
|
|
@pytest.mark.parametrize(
|
|
"func",
|
|
[
|
|
lambda obj, ng: obj + ng,
|
|
lambda obj, ng: ng + obj,
|
|
lambda obj, ng: obj - ng,
|
|
lambda obj, ng: ng - obj,
|
|
lambda obj, ng: np.add(obj, ng),
|
|
lambda obj, ng: np.add(ng, obj),
|
|
lambda obj, ng: np.subtract(obj, ng),
|
|
lambda obj, ng: np.subtract(ng, obj),
|
|
],
|
|
)
|
|
def test_parr_ops_errors(self, ng, func, box_with_array):
|
|
idx = PeriodIndex(
|
|
["2011-01", "2011-02", "2011-03", "2011-04"], freq="M", name="idx"
|
|
)
|
|
obj = tm.box_expected(idx, box_with_array)
|
|
msg = (
|
|
r"unsupported operand type\(s\)|can only concatenate|"
|
|
r"must be str|object to str implicitly"
|
|
)
|
|
|
|
with pytest.raises(TypeError, match=msg):
|
|
func(obj, ng)
|
|
|
|
def test_pi_ops_nat(self):
|
|
idx = PeriodIndex(
|
|
["2011-01", "2011-02", "NaT", "2011-04"], freq="M", name="idx"
|
|
)
|
|
expected = PeriodIndex(
|
|
["2011-03", "2011-04", "NaT", "2011-06"], freq="M", name="idx"
|
|
)
|
|
|
|
self._check(idx, lambda x: x + 2, expected)
|
|
self._check(idx, lambda x: 2 + x, expected)
|
|
self._check(idx, lambda x: np.add(x, 2), expected)
|
|
|
|
self._check(idx + 2, lambda x: x - 2, idx)
|
|
self._check(idx + 2, lambda x: np.subtract(x, 2), idx)
|
|
|
|
# freq with mult
|
|
idx = PeriodIndex(
|
|
["2011-01", "2011-02", "NaT", "2011-04"], freq="2M", name="idx"
|
|
)
|
|
expected = PeriodIndex(
|
|
["2011-07", "2011-08", "NaT", "2011-10"], freq="2M", name="idx"
|
|
)
|
|
|
|
self._check(idx, lambda x: x + 3, expected)
|
|
self._check(idx, lambda x: 3 + x, expected)
|
|
self._check(idx, lambda x: np.add(x, 3), expected)
|
|
|
|
self._check(idx + 3, lambda x: x - 3, idx)
|
|
self._check(idx + 3, lambda x: np.subtract(x, 3), idx)
|
|
|
|
def test_pi_ops_array_int(self):
|
|
|
|
idx = PeriodIndex(
|
|
["2011-01", "2011-02", "NaT", "2011-04"], freq="M", name="idx"
|
|
)
|
|
f = lambda x: x + np.array([1, 2, 3, 4])
|
|
exp = PeriodIndex(
|
|
["2011-02", "2011-04", "NaT", "2011-08"], freq="M", name="idx"
|
|
)
|
|
self._check(idx, f, exp)
|
|
|
|
f = lambda x: np.add(x, np.array([4, -1, 1, 2]))
|
|
exp = PeriodIndex(
|
|
["2011-05", "2011-01", "NaT", "2011-06"], freq="M", name="idx"
|
|
)
|
|
self._check(idx, f, exp)
|
|
|
|
f = lambda x: x - np.array([1, 2, 3, 4])
|
|
exp = PeriodIndex(
|
|
["2010-12", "2010-12", "NaT", "2010-12"], freq="M", name="idx"
|
|
)
|
|
self._check(idx, f, exp)
|
|
|
|
f = lambda x: np.subtract(x, np.array([3, 2, 3, -2]))
|
|
exp = PeriodIndex(
|
|
["2010-10", "2010-12", "NaT", "2011-06"], freq="M", name="idx"
|
|
)
|
|
self._check(idx, f, exp)
|
|
|
|
def test_pi_ops_offset(self):
|
|
idx = PeriodIndex(
|
|
["2011-01-01", "2011-02-01", "2011-03-01", "2011-04-01"],
|
|
freq="D",
|
|
name="idx",
|
|
)
|
|
f = lambda x: x + pd.offsets.Day()
|
|
exp = PeriodIndex(
|
|
["2011-01-02", "2011-02-02", "2011-03-02", "2011-04-02"],
|
|
freq="D",
|
|
name="idx",
|
|
)
|
|
self._check(idx, f, exp)
|
|
|
|
f = lambda x: x + pd.offsets.Day(2)
|
|
exp = PeriodIndex(
|
|
["2011-01-03", "2011-02-03", "2011-03-03", "2011-04-03"],
|
|
freq="D",
|
|
name="idx",
|
|
)
|
|
self._check(idx, f, exp)
|
|
|
|
f = lambda x: x - pd.offsets.Day(2)
|
|
exp = PeriodIndex(
|
|
["2010-12-30", "2011-01-30", "2011-02-27", "2011-03-30"],
|
|
freq="D",
|
|
name="idx",
|
|
)
|
|
self._check(idx, f, exp)
|
|
|
|
def test_pi_offset_errors(self):
|
|
idx = PeriodIndex(
|
|
["2011-01-01", "2011-02-01", "2011-03-01", "2011-04-01"],
|
|
freq="D",
|
|
name="idx",
|
|
)
|
|
ser = pd.Series(idx)
|
|
|
|
# Series op is applied per Period instance, thus error is raised
|
|
# from Period
|
|
for obj in [idx, ser]:
|
|
msg = r"Input has different freq=2H from Period.*?\(freq=D\)"
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
obj + pd.offsets.Hour(2)
|
|
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
pd.offsets.Hour(2) + obj
|
|
|
|
msg = r"Input has different freq=-2H from Period.*?\(freq=D\)"
|
|
with pytest.raises(IncompatibleFrequency, match=msg):
|
|
obj - pd.offsets.Hour(2)
|
|
|
|
def test_pi_sub_period(self):
|
|
# GH#13071
|
|
idx = PeriodIndex(
|
|
["2011-01", "2011-02", "2011-03", "2011-04"], freq="M", name="idx"
|
|
)
|
|
|
|
result = idx - pd.Period("2012-01", freq="M")
|
|
off = idx.freq
|
|
exp = pd.Index([-12 * off, -11 * off, -10 * off, -9 * off], name="idx")
|
|
tm.assert_index_equal(result, exp)
|
|
|
|
result = np.subtract(idx, pd.Period("2012-01", freq="M"))
|
|
tm.assert_index_equal(result, exp)
|
|
|
|
result = pd.Period("2012-01", freq="M") - idx
|
|
exp = pd.Index([12 * off, 11 * off, 10 * off, 9 * off], name="idx")
|
|
tm.assert_index_equal(result, exp)
|
|
|
|
result = np.subtract(pd.Period("2012-01", freq="M"), idx)
|
|
tm.assert_index_equal(result, exp)
|
|
|
|
exp = pd.TimedeltaIndex([np.nan, np.nan, np.nan, np.nan], name="idx")
|
|
result = idx - pd.Period("NaT", freq="M")
|
|
tm.assert_index_equal(result, exp)
|
|
assert result.freq == exp.freq
|
|
|
|
result = pd.Period("NaT", freq="M") - idx
|
|
tm.assert_index_equal(result, exp)
|
|
assert result.freq == exp.freq
|
|
|
|
def test_pi_sub_pdnat(self):
|
|
# GH#13071
|
|
idx = PeriodIndex(
|
|
["2011-01", "2011-02", "NaT", "2011-04"], freq="M", name="idx"
|
|
)
|
|
exp = pd.TimedeltaIndex([pd.NaT] * 4, name="idx")
|
|
tm.assert_index_equal(pd.NaT - idx, exp)
|
|
tm.assert_index_equal(idx - pd.NaT, exp)
|
|
|
|
def test_pi_sub_period_nat(self):
|
|
# GH#13071
|
|
idx = PeriodIndex(
|
|
["2011-01", "NaT", "2011-03", "2011-04"], freq="M", name="idx"
|
|
)
|
|
|
|
result = idx - pd.Period("2012-01", freq="M")
|
|
off = idx.freq
|
|
exp = pd.Index([-12 * off, pd.NaT, -10 * off, -9 * off], name="idx")
|
|
tm.assert_index_equal(result, exp)
|
|
|
|
result = pd.Period("2012-01", freq="M") - idx
|
|
exp = pd.Index([12 * off, pd.NaT, 10 * off, 9 * off], name="idx")
|
|
tm.assert_index_equal(result, exp)
|
|
|
|
exp = pd.TimedeltaIndex([np.nan, np.nan, np.nan, np.nan], name="idx")
|
|
tm.assert_index_equal(idx - pd.Period("NaT", freq="M"), exp)
|
|
tm.assert_index_equal(pd.Period("NaT", freq="M") - idx, exp)
|
|
|
|
@pytest.mark.parametrize("scalars", ["a", False, 1, 1.0, None])
|
|
def test_comparison_operations(self, scalars):
|
|
# GH 28980
|
|
expected = Series([False, False])
|
|
s = Series([pd.Period("2019"), pd.Period("2020")], dtype="period[A-DEC]")
|
|
result = s == scalars
|
|
tm.assert_series_equal(result, expected)
|