import numpy as np import pytest from pandas import ( DatetimeIndex, Timestamp, date_range, ) import pandas._testing as tm class TestRepeat: def test_repeat_range(self, tz_naive_fixture): tz = tz_naive_fixture rng = date_range("1/1/2000", "1/1/2001") result = rng.repeat(5) assert result.freq is None assert len(result) == 5 * len(rng) index = date_range("2001-01-01", periods=2, freq="D", tz=tz) exp = DatetimeIndex( ["2001-01-01", "2001-01-01", "2001-01-02", "2001-01-02"], tz=tz ) for res in [index.repeat(2), np.repeat(index, 2)]: tm.assert_index_equal(res, exp) assert res.freq is None index = date_range("2001-01-01", periods=2, freq="2D", tz=tz) exp = DatetimeIndex( ["2001-01-01", "2001-01-01", "2001-01-03", "2001-01-03"], tz=tz ) for res in [index.repeat(2), np.repeat(index, 2)]: tm.assert_index_equal(res, exp) assert res.freq is None index = DatetimeIndex(["2001-01-01", "NaT", "2003-01-01"], tz=tz) exp = DatetimeIndex( [ "2001-01-01", "2001-01-01", "2001-01-01", "NaT", "NaT", "NaT", "2003-01-01", "2003-01-01", "2003-01-01", ], tz=tz, ) for res in [index.repeat(3), np.repeat(index, 3)]: tm.assert_index_equal(res, exp) assert res.freq is None def test_repeat(self, tz_naive_fixture): tz = tz_naive_fixture reps = 2 msg = "the 'axis' parameter is not supported" rng = date_range(start="2016-01-01", periods=2, freq="30Min", tz=tz) expected_rng = DatetimeIndex( [ Timestamp("2016-01-01 00:00:00", tz=tz), Timestamp("2016-01-01 00:00:00", tz=tz), Timestamp("2016-01-01 00:30:00", tz=tz), Timestamp("2016-01-01 00:30:00", tz=tz), ] ) res = rng.repeat(reps) tm.assert_index_equal(res, expected_rng) assert res.freq is None tm.assert_index_equal(np.repeat(rng, reps), expected_rng) with pytest.raises(ValueError, match=msg): np.repeat(rng, reps, axis=1)