1032 lines
33 KiB
Python
1032 lines
33 KiB
Python
"""
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Tests for scalar Timedelta arithmetic ops
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"""
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from datetime import datetime, timedelta
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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.compat.numpy import is_numpy_dev
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import pandas as pd
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from pandas import NaT, Timedelta, Timestamp, compat, offsets
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import pandas._testing as tm
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from pandas.core import ops
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class TestTimedeltaAdditionSubtraction:
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"""
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Tests for Timedelta methods:
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__add__, __radd__,
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__sub__, __rsub__
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"""
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@pytest.mark.parametrize(
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"ten_seconds",
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[
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Timedelta(10, unit="s"),
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timedelta(seconds=10),
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np.timedelta64(10, "s"),
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np.timedelta64(10000000000, "ns"),
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offsets.Second(10),
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],
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)
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def test_td_add_sub_ten_seconds(self, ten_seconds):
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# GH#6808
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base = Timestamp("20130101 09:01:12.123456")
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expected_add = Timestamp("20130101 09:01:22.123456")
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expected_sub = Timestamp("20130101 09:01:02.123456")
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result = base + ten_seconds
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assert result == expected_add
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result = base - ten_seconds
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assert result == expected_sub
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@pytest.mark.parametrize(
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"one_day_ten_secs",
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[
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Timedelta("1 day, 00:00:10"),
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Timedelta("1 days, 00:00:10"),
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timedelta(days=1, seconds=10),
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np.timedelta64(1, "D") + np.timedelta64(10, "s"),
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offsets.Day() + offsets.Second(10),
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],
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)
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def test_td_add_sub_one_day_ten_seconds(self, one_day_ten_secs):
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# GH#6808
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base = Timestamp("20130102 09:01:12.123456")
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expected_add = Timestamp("20130103 09:01:22.123456")
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expected_sub = Timestamp("20130101 09:01:02.123456")
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result = base + one_day_ten_secs
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assert result == expected_add
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result = base - one_day_ten_secs
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assert result == expected_sub
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@pytest.mark.parametrize("op", [operator.add, ops.radd])
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def test_td_add_datetimelike_scalar(self, op):
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# GH#19738
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td = Timedelta(10, unit="d")
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result = op(td, datetime(2016, 1, 1))
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if op is operator.add:
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# datetime + Timedelta does _not_ call Timedelta.__radd__,
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# so we get a datetime back instead of a Timestamp
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assert isinstance(result, Timestamp)
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assert result == Timestamp(2016, 1, 11)
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result = op(td, Timestamp("2018-01-12 18:09"))
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assert isinstance(result, Timestamp)
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assert result == Timestamp("2018-01-22 18:09")
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result = op(td, np.datetime64("2018-01-12"))
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assert isinstance(result, Timestamp)
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assert result == Timestamp("2018-01-22")
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result = op(td, NaT)
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assert result is NaT
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def test_td_add_timestamp_overflow(self):
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msg = "int too (large|big) to convert"
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with pytest.raises(OverflowError, match=msg):
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Timestamp("1700-01-01") + Timedelta(13 * 19999, unit="D")
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with pytest.raises(OverflowError, match=msg):
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Timestamp("1700-01-01") + timedelta(days=13 * 19999)
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@pytest.mark.parametrize("op", [operator.add, ops.radd])
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def test_td_add_td(self, op):
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td = Timedelta(10, unit="d")
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result = op(td, Timedelta(days=10))
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assert isinstance(result, Timedelta)
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assert result == Timedelta(days=20)
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@pytest.mark.parametrize("op", [operator.add, ops.radd])
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def test_td_add_pytimedelta(self, op):
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td = Timedelta(10, unit="d")
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result = op(td, timedelta(days=9))
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assert isinstance(result, Timedelta)
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assert result == Timedelta(days=19)
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@pytest.mark.parametrize("op", [operator.add, ops.radd])
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def test_td_add_timedelta64(self, op):
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td = Timedelta(10, unit="d")
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result = op(td, np.timedelta64(-4, "D"))
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assert isinstance(result, Timedelta)
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assert result == Timedelta(days=6)
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@pytest.mark.parametrize("op", [operator.add, ops.radd])
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def test_td_add_offset(self, op):
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td = Timedelta(10, unit="d")
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result = op(td, offsets.Hour(6))
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assert isinstance(result, Timedelta)
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assert result == Timedelta(days=10, hours=6)
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def test_td_sub_td(self):
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td = Timedelta(10, unit="d")
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expected = Timedelta(0, unit="ns")
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result = td - td
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assert isinstance(result, Timedelta)
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assert result == expected
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def test_td_sub_pytimedelta(self):
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td = Timedelta(10, unit="d")
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expected = Timedelta(0, unit="ns")
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result = td - td.to_pytimedelta()
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assert isinstance(result, Timedelta)
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assert result == expected
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result = td.to_pytimedelta() - td
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assert isinstance(result, Timedelta)
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assert result == expected
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def test_td_sub_timedelta64(self):
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td = Timedelta(10, unit="d")
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expected = Timedelta(0, unit="ns")
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result = td - td.to_timedelta64()
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assert isinstance(result, Timedelta)
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assert result == expected
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result = td.to_timedelta64() - td
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assert isinstance(result, Timedelta)
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assert result == expected
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def test_td_sub_nat(self):
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# In this context pd.NaT is treated as timedelta-like
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td = Timedelta(10, unit="d")
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result = td - NaT
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assert result is NaT
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def test_td_sub_td64_nat(self):
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td = Timedelta(10, unit="d")
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td_nat = np.timedelta64("NaT")
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result = td - td_nat
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assert result is NaT
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result = td_nat - td
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assert result is NaT
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def test_td_sub_offset(self):
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td = Timedelta(10, unit="d")
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result = td - offsets.Hour(1)
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assert isinstance(result, Timedelta)
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assert result == Timedelta(239, unit="h")
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def test_td_add_sub_numeric_raises(self):
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td = Timedelta(10, unit="d")
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msg = "unsupported operand type"
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for other in [2, 2.0, np.int64(2), np.float64(2)]:
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with pytest.raises(TypeError, match=msg):
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td + other
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with pytest.raises(TypeError, match=msg):
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other + td
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with pytest.raises(TypeError, match=msg):
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td - other
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with pytest.raises(TypeError, match=msg):
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other - td
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def test_td_rsub_nat(self):
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td = Timedelta(10, unit="d")
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result = NaT - td
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assert result is NaT
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result = np.datetime64("NaT") - td
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assert result is NaT
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def test_td_rsub_offset(self):
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result = offsets.Hour(1) - Timedelta(10, unit="d")
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assert isinstance(result, Timedelta)
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assert result == Timedelta(-239, unit="h")
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def test_td_sub_timedeltalike_object_dtype_array(self):
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# GH#21980
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arr = np.array([Timestamp("20130101 9:01"), Timestamp("20121230 9:02")])
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exp = np.array([Timestamp("20121231 9:01"), Timestamp("20121229 9:02")])
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res = arr - Timedelta("1D")
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tm.assert_numpy_array_equal(res, exp)
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def test_td_sub_mixed_most_timedeltalike_object_dtype_array(self):
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# GH#21980
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now = Timestamp.now()
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arr = np.array([now, Timedelta("1D"), np.timedelta64(2, "h")])
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exp = np.array(
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[
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now - Timedelta("1D"),
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Timedelta("0D"),
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np.timedelta64(2, "h") - Timedelta("1D"),
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]
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)
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res = arr - Timedelta("1D")
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tm.assert_numpy_array_equal(res, exp)
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def test_td_rsub_mixed_most_timedeltalike_object_dtype_array(self):
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# GH#21980
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now = Timestamp.now()
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arr = np.array([now, Timedelta("1D"), np.timedelta64(2, "h")])
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msg = r"unsupported operand type\(s\) for \-: 'Timedelta' and 'Timestamp'"
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with pytest.raises(TypeError, match=msg):
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Timedelta("1D") - arr
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@pytest.mark.parametrize("op", [operator.add, ops.radd])
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def test_td_add_timedeltalike_object_dtype_array(self, op):
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# GH#21980
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arr = np.array([Timestamp("20130101 9:01"), Timestamp("20121230 9:02")])
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exp = np.array([Timestamp("20130102 9:01"), Timestamp("20121231 9:02")])
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res = op(arr, Timedelta("1D"))
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tm.assert_numpy_array_equal(res, exp)
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@pytest.mark.parametrize("op", [operator.add, ops.radd])
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def test_td_add_mixed_timedeltalike_object_dtype_array(self, op):
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# GH#21980
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now = Timestamp.now()
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arr = np.array([now, Timedelta("1D")])
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exp = np.array([now + Timedelta("1D"), Timedelta("2D")])
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res = op(arr, Timedelta("1D"))
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tm.assert_numpy_array_equal(res, exp)
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# TODO: moved from index tests following #24365, may need de-duplication
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def test_ops_ndarray(self):
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td = Timedelta("1 day")
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# timedelta, timedelta
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other = pd.to_timedelta(["1 day"]).values
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expected = pd.to_timedelta(["2 days"]).values
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tm.assert_numpy_array_equal(td + other, expected)
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tm.assert_numpy_array_equal(other + td, expected)
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msg = r"unsupported operand type\(s\) for \+: 'Timedelta' and 'int'"
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with pytest.raises(TypeError, match=msg):
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td + np.array([1])
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msg = (
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r"unsupported operand type\(s\) for \+: 'numpy.ndarray' and 'Timedelta'|"
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"Concatenation operation is not implemented for NumPy arrays"
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)
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with pytest.raises(TypeError, match=msg):
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np.array([1]) + td
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expected = pd.to_timedelta(["0 days"]).values
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tm.assert_numpy_array_equal(td - other, expected)
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tm.assert_numpy_array_equal(-other + td, expected)
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msg = r"unsupported operand type\(s\) for -: 'Timedelta' and 'int'"
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with pytest.raises(TypeError, match=msg):
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td - np.array([1])
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msg = r"unsupported operand type\(s\) for -: 'numpy.ndarray' and 'Timedelta'"
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with pytest.raises(TypeError, match=msg):
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np.array([1]) - td
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expected = pd.to_timedelta(["2 days"]).values
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tm.assert_numpy_array_equal(td * np.array([2]), expected)
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tm.assert_numpy_array_equal(np.array([2]) * td, expected)
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msg = (
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"ufunc '?multiply'? cannot use operands with types "
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r"dtype\('<m8\[ns\]'\) and dtype\('<m8\[ns\]'\)"
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)
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with pytest.raises(TypeError, match=msg):
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td * other
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with pytest.raises(TypeError, match=msg):
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other * td
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tm.assert_numpy_array_equal(td / other, np.array([1], dtype=np.float64))
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tm.assert_numpy_array_equal(other / td, np.array([1], dtype=np.float64))
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# timedelta, datetime
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other = pd.to_datetime(["2000-01-01"]).values
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expected = pd.to_datetime(["2000-01-02"]).values
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tm.assert_numpy_array_equal(td + other, expected)
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tm.assert_numpy_array_equal(other + td, expected)
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expected = pd.to_datetime(["1999-12-31"]).values
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tm.assert_numpy_array_equal(-td + other, expected)
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tm.assert_numpy_array_equal(other - td, expected)
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class TestTimedeltaMultiplicationDivision:
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"""
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Tests for Timedelta methods:
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__mul__, __rmul__,
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__div__, __rdiv__,
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__truediv__, __rtruediv__,
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__floordiv__, __rfloordiv__,
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__mod__, __rmod__,
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__divmod__, __rdivmod__
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"""
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# ---------------------------------------------------------------
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# Timedelta.__mul__, __rmul__
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@pytest.mark.parametrize(
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"td_nat", [NaT, np.timedelta64("NaT", "ns"), np.timedelta64("NaT")]
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)
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@pytest.mark.parametrize("op", [operator.mul, ops.rmul])
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def test_td_mul_nat(self, op, td_nat):
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# GH#19819
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td = Timedelta(10, unit="d")
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typs = "|".join(["numpy.timedelta64", "NaTType", "Timedelta"])
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msg = "|".join(
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[
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rf"unsupported operand type\(s\) for \*: '{typs}' and '{typs}'",
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r"ufunc '?multiply'? cannot use operands with types",
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]
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)
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with pytest.raises(TypeError, match=msg):
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op(td, td_nat)
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@pytest.mark.parametrize("nan", [np.nan, np.float64("NaN"), float("nan")])
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@pytest.mark.parametrize("op", [operator.mul, ops.rmul])
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def test_td_mul_nan(self, op, nan):
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# np.float64('NaN') has a 'dtype' attr, avoid treating as array
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td = Timedelta(10, unit="d")
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result = op(td, nan)
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assert result is NaT
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@pytest.mark.parametrize("op", [operator.mul, ops.rmul])
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def test_td_mul_scalar(self, op):
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# GH#19738
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td = Timedelta(minutes=3)
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result = op(td, 2)
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assert result == Timedelta(minutes=6)
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result = op(td, 1.5)
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assert result == Timedelta(minutes=4, seconds=30)
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assert op(td, np.nan) is NaT
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assert op(-1, td).value == -1 * td.value
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assert op(-1.0, td).value == -1.0 * td.value
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msg = "unsupported operand type"
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with pytest.raises(TypeError, match=msg):
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# timedelta * datetime is gibberish
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op(td, Timestamp(2016, 1, 2))
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with pytest.raises(TypeError, match=msg):
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# invalid multiply with another timedelta
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op(td, td)
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# ---------------------------------------------------------------
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# Timedelta.__div__, __truediv__
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def test_td_div_timedeltalike_scalar(self):
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# GH#19738
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td = Timedelta(10, unit="d")
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result = td / offsets.Hour(1)
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assert result == 240
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assert td / td == 1
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assert td / np.timedelta64(60, "h") == 4
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assert np.isnan(td / NaT)
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def test_td_div_td64_non_nano(self):
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# truediv
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td = Timedelta("1 days 2 hours 3 ns")
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result = td / np.timedelta64(1, "D")
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assert result == td.value / float(86400 * 1e9)
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result = td / np.timedelta64(1, "s")
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assert result == td.value / float(1e9)
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result = td / np.timedelta64(1, "ns")
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assert result == td.value
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# floordiv
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td = Timedelta("1 days 2 hours 3 ns")
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result = td // np.timedelta64(1, "D")
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assert result == 1
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result = td // np.timedelta64(1, "s")
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assert result == 93600
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result = td // np.timedelta64(1, "ns")
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assert result == td.value
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|
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def test_td_div_numeric_scalar(self):
|
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# GH#19738
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td = Timedelta(10, unit="d")
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|
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result = td / 2
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assert isinstance(result, Timedelta)
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assert result == Timedelta(days=5)
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|
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result = td / 5.0
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assert isinstance(result, Timedelta)
|
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assert result == Timedelta(days=2)
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|
|
@pytest.mark.parametrize(
|
|
"nan",
|
|
[
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np.nan,
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|
pytest.param(
|
|
np.float64("NaN"),
|
|
marks=pytest.mark.xfail(
|
|
# Works on numpy dev only in python 3.9
|
|
is_numpy_dev and not compat.PY39,
|
|
raises=RuntimeWarning,
|
|
reason="https://github.com/pandas-dev/pandas/issues/31992",
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),
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),
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float("nan"),
|
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],
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)
|
|
def test_td_div_nan(self, nan):
|
|
# np.float64('NaN') has a 'dtype' attr, avoid treating as array
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td = Timedelta(10, unit="d")
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result = td / nan
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assert result is NaT
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result = td // nan
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assert result is NaT
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|
|
# ---------------------------------------------------------------
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# Timedelta.__rdiv__
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|
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def test_td_rdiv_timedeltalike_scalar(self):
|
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# GH#19738
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td = Timedelta(10, unit="d")
|
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result = offsets.Hour(1) / td
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assert result == 1 / 240.0
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|
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assert np.timedelta64(60, "h") / td == 0.25
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|
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def test_td_rdiv_na_scalar(self):
|
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# GH#31869 None gets cast to NaT
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td = Timedelta(10, unit="d")
|
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|
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result = NaT / td
|
|
assert np.isnan(result)
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|
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result = None / td
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assert np.isnan(result)
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|
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result = np.timedelta64("NaT") / td
|
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assert np.isnan(result)
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|
|
msg = r"unsupported operand type\(s\) for /: 'numpy.datetime64' and 'Timedelta'"
|
|
with pytest.raises(TypeError, match=msg):
|
|
np.datetime64("NaT") / td
|
|
|
|
msg = r"unsupported operand type\(s\) for /: 'float' and 'Timedelta'"
|
|
with pytest.raises(TypeError, match=msg):
|
|
np.nan / td
|
|
|
|
def test_td_rdiv_ndarray(self):
|
|
td = Timedelta(10, unit="d")
|
|
|
|
arr = np.array([td], dtype=object)
|
|
result = arr / td
|
|
expected = np.array([1], dtype=np.float64)
|
|
tm.assert_numpy_array_equal(result, expected)
|
|
|
|
arr = np.array([None])
|
|
result = arr / td
|
|
expected = np.array([np.nan])
|
|
tm.assert_numpy_array_equal(result, expected)
|
|
|
|
arr = np.array([np.nan], dtype=object)
|
|
msg = r"unsupported operand type\(s\) for /: 'float' and 'Timedelta'"
|
|
with pytest.raises(TypeError, match=msg):
|
|
arr / td
|
|
|
|
arr = np.array([np.nan], dtype=np.float64)
|
|
msg = "cannot use operands with types dtype"
|
|
with pytest.raises(TypeError, match=msg):
|
|
arr / td
|
|
|
|
# ---------------------------------------------------------------
|
|
# Timedelta.__floordiv__
|
|
|
|
def test_td_floordiv_timedeltalike_scalar(self):
|
|
# GH#18846
|
|
td = Timedelta(hours=3, minutes=4)
|
|
scalar = Timedelta(hours=3, minutes=3)
|
|
|
|
assert td // scalar == 1
|
|
assert -td // scalar.to_pytimedelta() == -2
|
|
assert (2 * td) // scalar.to_timedelta64() == 2
|
|
|
|
def test_td_floordiv_null_scalar(self):
|
|
# GH#18846
|
|
td = Timedelta(hours=3, minutes=4)
|
|
|
|
assert td // np.nan is NaT
|
|
assert np.isnan(td // NaT)
|
|
assert np.isnan(td // np.timedelta64("NaT"))
|
|
|
|
def test_td_floordiv_offsets(self):
|
|
# GH#19738
|
|
td = Timedelta(hours=3, minutes=4)
|
|
assert td // offsets.Hour(1) == 3
|
|
assert td // offsets.Minute(2) == 92
|
|
|
|
def test_td_floordiv_invalid_scalar(self):
|
|
# GH#18846
|
|
td = Timedelta(hours=3, minutes=4)
|
|
|
|
msg = "|".join(
|
|
[
|
|
r"Invalid dtype datetime64\[D\] for __floordiv__",
|
|
"'dtype' is an invalid keyword argument for this function",
|
|
r"ufunc '?floor_divide'? cannot use operands with types",
|
|
]
|
|
)
|
|
with pytest.raises(TypeError, match=msg):
|
|
td // np.datetime64("2016-01-01", dtype="datetime64[us]")
|
|
|
|
def test_td_floordiv_numeric_scalar(self):
|
|
# GH#18846
|
|
td = Timedelta(hours=3, minutes=4)
|
|
|
|
expected = Timedelta(hours=1, minutes=32)
|
|
assert td // 2 == expected
|
|
assert td // 2.0 == expected
|
|
assert td // np.float64(2.0) == expected
|
|
assert td // np.int32(2.0) == expected
|
|
assert td // np.uint8(2.0) == expected
|
|
|
|
def test_td_floordiv_timedeltalike_array(self):
|
|
# GH#18846
|
|
td = Timedelta(hours=3, minutes=4)
|
|
scalar = Timedelta(hours=3, minutes=3)
|
|
|
|
# Array-like others
|
|
assert td // np.array(scalar.to_timedelta64()) == 1
|
|
|
|
res = (3 * td) // np.array([scalar.to_timedelta64()])
|
|
expected = np.array([3], dtype=np.int64)
|
|
tm.assert_numpy_array_equal(res, expected)
|
|
|
|
res = (10 * td) // np.array([scalar.to_timedelta64(), np.timedelta64("NaT")])
|
|
expected = np.array([10, np.nan])
|
|
tm.assert_numpy_array_equal(res, expected)
|
|
|
|
def test_td_floordiv_numeric_series(self):
|
|
# GH#18846
|
|
td = Timedelta(hours=3, minutes=4)
|
|
ser = pd.Series([1], dtype=np.int64)
|
|
res = td // ser
|
|
assert res.dtype.kind == "m"
|
|
|
|
# ---------------------------------------------------------------
|
|
# Timedelta.__rfloordiv__
|
|
|
|
def test_td_rfloordiv_timedeltalike_scalar(self):
|
|
# GH#18846
|
|
td = Timedelta(hours=3, minutes=3)
|
|
scalar = Timedelta(hours=3, minutes=4)
|
|
|
|
# scalar others
|
|
# x // Timedelta is defined only for timedelta-like x. int-like,
|
|
# float-like, and date-like, in particular, should all either
|
|
# a) raise TypeError directly or
|
|
# b) return NotImplemented, following which the reversed
|
|
# operation will raise TypeError.
|
|
assert td.__rfloordiv__(scalar) == 1
|
|
assert (-td).__rfloordiv__(scalar.to_pytimedelta()) == -2
|
|
assert (2 * td).__rfloordiv__(scalar.to_timedelta64()) == 0
|
|
|
|
def test_td_rfloordiv_null_scalar(self):
|
|
# GH#18846
|
|
td = Timedelta(hours=3, minutes=3)
|
|
|
|
assert np.isnan(td.__rfloordiv__(NaT))
|
|
assert np.isnan(td.__rfloordiv__(np.timedelta64("NaT")))
|
|
|
|
def test_td_rfloordiv_offsets(self):
|
|
# GH#19738
|
|
assert offsets.Hour(1) // Timedelta(minutes=25) == 2
|
|
|
|
def test_td_rfloordiv_invalid_scalar(self):
|
|
# GH#18846
|
|
td = Timedelta(hours=3, minutes=3)
|
|
|
|
dt64 = np.datetime64("2016-01-01", "us")
|
|
|
|
assert td.__rfloordiv__(dt64) is NotImplemented
|
|
|
|
msg = (
|
|
r"unsupported operand type\(s\) for //: 'numpy.datetime64' and 'Timedelta'"
|
|
)
|
|
with pytest.raises(TypeError, match=msg):
|
|
dt64 // td
|
|
|
|
def test_td_rfloordiv_numeric_scalar(self):
|
|
# GH#18846
|
|
td = Timedelta(hours=3, minutes=3)
|
|
|
|
assert td.__rfloordiv__(np.nan) is NotImplemented
|
|
assert td.__rfloordiv__(3.5) is NotImplemented
|
|
assert td.__rfloordiv__(2) is NotImplemented
|
|
assert td.__rfloordiv__(np.float64(2.0)) is NotImplemented
|
|
assert td.__rfloordiv__(np.uint8(9)) is NotImplemented
|
|
assert td.__rfloordiv__(np.int32(2.0)) is NotImplemented
|
|
|
|
msg = r"unsupported operand type\(s\) for //: '.*' and 'Timedelta"
|
|
with pytest.raises(TypeError, match=msg):
|
|
np.float64(2.0) // td
|
|
with pytest.raises(TypeError, match=msg):
|
|
np.uint8(9) // td
|
|
with pytest.raises(TypeError, match=msg):
|
|
# deprecated GH#19761, enforced GH#29797
|
|
np.int32(2.0) // td
|
|
|
|
def test_td_rfloordiv_timedeltalike_array(self):
|
|
# GH#18846
|
|
td = Timedelta(hours=3, minutes=3)
|
|
scalar = Timedelta(hours=3, minutes=4)
|
|
|
|
# Array-like others
|
|
assert td.__rfloordiv__(np.array(scalar.to_timedelta64())) == 1
|
|
|
|
res = td.__rfloordiv__(np.array([(3 * scalar).to_timedelta64()]))
|
|
expected = np.array([3], dtype=np.int64)
|
|
tm.assert_numpy_array_equal(res, expected)
|
|
|
|
arr = np.array([(10 * scalar).to_timedelta64(), np.timedelta64("NaT")])
|
|
res = td.__rfloordiv__(arr)
|
|
expected = np.array([10, np.nan])
|
|
tm.assert_numpy_array_equal(res, expected)
|
|
|
|
def test_td_rfloordiv_intarray(self):
|
|
# deprecated GH#19761, enforced GH#29797
|
|
ints = np.array([1349654400, 1349740800, 1349827200, 1349913600]) * 10 ** 9
|
|
|
|
msg = "Invalid dtype"
|
|
with pytest.raises(TypeError, match=msg):
|
|
ints // Timedelta(1, unit="s")
|
|
|
|
def test_td_rfloordiv_numeric_series(self):
|
|
# GH#18846
|
|
td = Timedelta(hours=3, minutes=3)
|
|
ser = pd.Series([1], dtype=np.int64)
|
|
res = td.__rfloordiv__(ser)
|
|
assert res is NotImplemented
|
|
|
|
msg = "Invalid dtype"
|
|
with pytest.raises(TypeError, match=msg):
|
|
# Deprecated GH#19761, enforced GH#29797
|
|
ser // td
|
|
|
|
# ----------------------------------------------------------------
|
|
# Timedelta.__mod__, __rmod__
|
|
|
|
def test_mod_timedeltalike(self):
|
|
# GH#19365
|
|
td = Timedelta(hours=37)
|
|
|
|
# Timedelta-like others
|
|
result = td % Timedelta(hours=6)
|
|
assert isinstance(result, Timedelta)
|
|
assert result == Timedelta(hours=1)
|
|
|
|
result = td % timedelta(minutes=60)
|
|
assert isinstance(result, Timedelta)
|
|
assert result == Timedelta(0)
|
|
|
|
result = td % NaT
|
|
assert result is NaT
|
|
|
|
def test_mod_timedelta64_nat(self):
|
|
# GH#19365
|
|
td = Timedelta(hours=37)
|
|
|
|
result = td % np.timedelta64("NaT", "ns")
|
|
assert result is NaT
|
|
|
|
def test_mod_timedelta64(self):
|
|
# GH#19365
|
|
td = Timedelta(hours=37)
|
|
|
|
result = td % np.timedelta64(2, "h")
|
|
assert isinstance(result, Timedelta)
|
|
assert result == Timedelta(hours=1)
|
|
|
|
def test_mod_offset(self):
|
|
# GH#19365
|
|
td = Timedelta(hours=37)
|
|
|
|
result = td % offsets.Hour(5)
|
|
assert isinstance(result, Timedelta)
|
|
assert result == Timedelta(hours=2)
|
|
|
|
def test_mod_numeric(self):
|
|
# GH#19365
|
|
td = Timedelta(hours=37)
|
|
|
|
# Numeric Others
|
|
result = td % 2
|
|
assert isinstance(result, Timedelta)
|
|
assert result == Timedelta(0)
|
|
|
|
result = td % 1e12
|
|
assert isinstance(result, Timedelta)
|
|
assert result == Timedelta(minutes=3, seconds=20)
|
|
|
|
result = td % int(1e12)
|
|
assert isinstance(result, Timedelta)
|
|
assert result == Timedelta(minutes=3, seconds=20)
|
|
|
|
def test_mod_invalid(self):
|
|
# GH#19365
|
|
td = Timedelta(hours=37)
|
|
msg = "unsupported operand type"
|
|
with pytest.raises(TypeError, match=msg):
|
|
td % Timestamp("2018-01-22")
|
|
|
|
with pytest.raises(TypeError, match=msg):
|
|
td % []
|
|
|
|
def test_rmod_pytimedelta(self):
|
|
# GH#19365
|
|
td = Timedelta(minutes=3)
|
|
|
|
result = timedelta(minutes=4) % td
|
|
assert isinstance(result, Timedelta)
|
|
assert result == Timedelta(minutes=1)
|
|
|
|
def test_rmod_timedelta64(self):
|
|
# GH#19365
|
|
td = Timedelta(minutes=3)
|
|
result = np.timedelta64(5, "m") % td
|
|
assert isinstance(result, Timedelta)
|
|
assert result == Timedelta(minutes=2)
|
|
|
|
def test_rmod_invalid(self):
|
|
# GH#19365
|
|
td = Timedelta(minutes=3)
|
|
|
|
msg = "unsupported operand"
|
|
with pytest.raises(TypeError, match=msg):
|
|
Timestamp("2018-01-22") % td
|
|
|
|
with pytest.raises(TypeError, match=msg):
|
|
15 % td
|
|
|
|
with pytest.raises(TypeError, match=msg):
|
|
16.0 % td
|
|
|
|
msg = "Invalid dtype int"
|
|
with pytest.raises(TypeError, match=msg):
|
|
np.array([22, 24]) % td
|
|
|
|
# ----------------------------------------------------------------
|
|
# Timedelta.__divmod__, __rdivmod__
|
|
|
|
def test_divmod_numeric(self):
|
|
# GH#19365
|
|
td = Timedelta(days=2, hours=6)
|
|
|
|
result = divmod(td, 53 * 3600 * 1e9)
|
|
assert result[0] == Timedelta(1, unit="ns")
|
|
assert isinstance(result[1], Timedelta)
|
|
assert result[1] == Timedelta(hours=1)
|
|
|
|
assert result
|
|
result = divmod(td, np.nan)
|
|
assert result[0] is NaT
|
|
assert result[1] is NaT
|
|
|
|
def test_divmod(self):
|
|
# GH#19365
|
|
td = Timedelta(days=2, hours=6)
|
|
|
|
result = divmod(td, timedelta(days=1))
|
|
assert result[0] == 2
|
|
assert isinstance(result[1], Timedelta)
|
|
assert result[1] == Timedelta(hours=6)
|
|
|
|
result = divmod(td, 54)
|
|
assert result[0] == Timedelta(hours=1)
|
|
assert isinstance(result[1], Timedelta)
|
|
assert result[1] == Timedelta(0)
|
|
|
|
result = divmod(td, NaT)
|
|
assert np.isnan(result[0])
|
|
assert result[1] is NaT
|
|
|
|
def test_divmod_offset(self):
|
|
# GH#19365
|
|
td = Timedelta(days=2, hours=6)
|
|
|
|
result = divmod(td, offsets.Hour(-4))
|
|
assert result[0] == -14
|
|
assert isinstance(result[1], Timedelta)
|
|
assert result[1] == Timedelta(hours=-2)
|
|
|
|
def test_divmod_invalid(self):
|
|
# GH#19365
|
|
td = Timedelta(days=2, hours=6)
|
|
|
|
msg = r"unsupported operand type\(s\) for //: 'Timedelta' and 'Timestamp'"
|
|
with pytest.raises(TypeError, match=msg):
|
|
divmod(td, Timestamp("2018-01-22"))
|
|
|
|
def test_rdivmod_pytimedelta(self):
|
|
# GH#19365
|
|
result = divmod(timedelta(days=2, hours=6), Timedelta(days=1))
|
|
assert result[0] == 2
|
|
assert isinstance(result[1], Timedelta)
|
|
assert result[1] == Timedelta(hours=6)
|
|
|
|
def test_rdivmod_offset(self):
|
|
result = divmod(offsets.Hour(54), Timedelta(hours=-4))
|
|
assert result[0] == -14
|
|
assert isinstance(result[1], Timedelta)
|
|
assert result[1] == Timedelta(hours=-2)
|
|
|
|
def test_rdivmod_invalid(self):
|
|
# GH#19365
|
|
td = Timedelta(minutes=3)
|
|
msg = "unsupported operand type"
|
|
|
|
with pytest.raises(TypeError, match=msg):
|
|
divmod(Timestamp("2018-01-22"), td)
|
|
|
|
with pytest.raises(TypeError, match=msg):
|
|
divmod(15, td)
|
|
|
|
with pytest.raises(TypeError, match=msg):
|
|
divmod(16.0, td)
|
|
|
|
msg = "Invalid dtype int"
|
|
with pytest.raises(TypeError, match=msg):
|
|
divmod(np.array([22, 24]), td)
|
|
|
|
# ----------------------------------------------------------------
|
|
|
|
@pytest.mark.parametrize(
|
|
"op", [operator.mul, ops.rmul, operator.truediv, ops.rdiv, ops.rsub]
|
|
)
|
|
@pytest.mark.parametrize(
|
|
"arr",
|
|
[
|
|
np.array([Timestamp("20130101 9:01"), Timestamp("20121230 9:02")]),
|
|
np.array([Timestamp.now(), Timedelta("1D")]),
|
|
],
|
|
)
|
|
def test_td_op_timedelta_timedeltalike_array(self, op, arr):
|
|
msg = "unsupported operand type|cannot use operands with types"
|
|
with pytest.raises(TypeError, match=msg):
|
|
op(arr, Timedelta("1D"))
|
|
|
|
|
|
class TestTimedeltaComparison:
|
|
def test_compare_tick(self, tick_classes):
|
|
cls = tick_classes
|
|
|
|
off = cls(4)
|
|
td = off.delta
|
|
assert isinstance(td, Timedelta)
|
|
|
|
assert td == off
|
|
assert not td != off
|
|
assert td <= off
|
|
assert td >= off
|
|
assert not td < off
|
|
assert not td > off
|
|
|
|
assert not td == 2 * off
|
|
assert td != 2 * off
|
|
assert td <= 2 * off
|
|
assert td < 2 * off
|
|
assert not td >= 2 * off
|
|
assert not td > 2 * off
|
|
|
|
def test_comparison_object_array(self):
|
|
# analogous to GH#15183
|
|
td = Timedelta("2 days")
|
|
other = Timedelta("3 hours")
|
|
|
|
arr = np.array([other, td], dtype=object)
|
|
res = arr == td
|
|
expected = np.array([False, True], dtype=bool)
|
|
assert (res == expected).all()
|
|
|
|
# 2D case
|
|
arr = np.array([[other, td], [td, other]], dtype=object)
|
|
res = arr != td
|
|
expected = np.array([[True, False], [False, True]], dtype=bool)
|
|
assert res.shape == expected.shape
|
|
assert (res == expected).all()
|
|
|
|
def test_compare_timedelta_ndarray(self):
|
|
# GH#11835
|
|
periods = [Timedelta("0 days 01:00:00"), Timedelta("0 days 01:00:00")]
|
|
arr = np.array(periods)
|
|
result = arr[0] > arr
|
|
expected = np.array([False, False])
|
|
tm.assert_numpy_array_equal(result, expected)
|
|
|
|
def test_compare_td64_ndarray(self):
|
|
# GG#33441
|
|
arr = np.arange(5).astype("timedelta64[ns]")
|
|
td = Timedelta(arr[1])
|
|
|
|
expected = np.array([False, True, False, False, False], dtype=bool)
|
|
|
|
result = td == arr
|
|
tm.assert_numpy_array_equal(result, expected)
|
|
|
|
result = arr == td
|
|
tm.assert_numpy_array_equal(result, expected)
|
|
|
|
result = td != arr
|
|
tm.assert_numpy_array_equal(result, ~expected)
|
|
|
|
result = arr != td
|
|
tm.assert_numpy_array_equal(result, ~expected)
|
|
|
|
@pytest.mark.skip(reason="GH#20829 is reverted until after 0.24.0")
|
|
def test_compare_custom_object(self):
|
|
"""
|
|
Make sure non supported operations on Timedelta returns NonImplemented
|
|
and yields to other operand (GH#20829).
|
|
"""
|
|
|
|
class CustomClass:
|
|
def __init__(self, cmp_result=None):
|
|
self.cmp_result = cmp_result
|
|
|
|
def generic_result(self):
|
|
if self.cmp_result is None:
|
|
return NotImplemented
|
|
else:
|
|
return self.cmp_result
|
|
|
|
def __eq__(self, other):
|
|
return self.generic_result()
|
|
|
|
def __gt__(self, other):
|
|
return self.generic_result()
|
|
|
|
t = Timedelta("1s")
|
|
|
|
assert not (t == "string")
|
|
assert not (t == 1)
|
|
assert not (t == CustomClass())
|
|
assert not (t == CustomClass(cmp_result=False))
|
|
|
|
assert t < CustomClass(cmp_result=True)
|
|
assert not (t < CustomClass(cmp_result=False))
|
|
|
|
assert t == CustomClass(cmp_result=True)
|
|
|
|
@pytest.mark.parametrize("val", ["string", 1])
|
|
def test_compare_unknown_type(self, val):
|
|
# GH#20829
|
|
t = Timedelta("1s")
|
|
msg = "not supported between instances of 'Timedelta' and '(int|str)'"
|
|
with pytest.raises(TypeError, match=msg):
|
|
t >= val
|
|
with pytest.raises(TypeError, match=msg):
|
|
t > val
|
|
with pytest.raises(TypeError, match=msg):
|
|
t <= val
|
|
with pytest.raises(TypeError, match=msg):
|
|
t < val
|
|
|
|
|
|
def test_ops_notimplemented():
|
|
class Other:
|
|
pass
|
|
|
|
other = Other()
|
|
|
|
td = Timedelta("1 day")
|
|
assert td.__add__(other) is NotImplemented
|
|
assert td.__sub__(other) is NotImplemented
|
|
assert td.__truediv__(other) is NotImplemented
|
|
assert td.__mul__(other) is NotImplemented
|
|
assert td.__floordiv__(other) is NotImplemented
|
|
|
|
|
|
def test_ops_error_str():
|
|
# GH#13624
|
|
td = Timedelta("1 day")
|
|
|
|
for left, right in [(td, "a"), ("a", td)]:
|
|
|
|
msg = "|".join(
|
|
[
|
|
"unsupported operand type",
|
|
r'can only concatenate str \(not "Timedelta"\) to str',
|
|
"must be str, not Timedelta",
|
|
]
|
|
)
|
|
with pytest.raises(TypeError, match=msg):
|
|
left + right
|
|
|
|
msg = "not supported between instances of"
|
|
with pytest.raises(TypeError, match=msg):
|
|
left > right
|
|
|
|
assert not left == right
|
|
assert left != right
|