from datetime import timedelta import numpy as np from pandas import ( DatetimeIndex, date_range, ) import pandas._testing as tm class TestDatetimeIndexReindex: def test_reindex_preserves_tz_if_target_is_empty_list_or_array(self): # GH#7774 index = date_range("2013-01-01", periods=3, tz="US/Eastern") assert str(index.reindex([])[0].tz) == "US/Eastern" assert str(index.reindex(np.array([]))[0].tz) == "US/Eastern" def test_reindex_with_same_tz_nearest(self): # GH#32740 rng_a = date_range("2010-01-01", "2010-01-02", periods=24, tz="utc") rng_b = date_range("2010-01-01", "2010-01-02", periods=23, tz="utc") result1, result2 = rng_a.reindex( rng_b, method="nearest", tolerance=timedelta(seconds=20) ) expected_list1 = [ "2010-01-01 00:00:00", "2010-01-01 01:05:27.272727272", "2010-01-01 02:10:54.545454545", "2010-01-01 03:16:21.818181818", "2010-01-01 04:21:49.090909090", "2010-01-01 05:27:16.363636363", "2010-01-01 06:32:43.636363636", "2010-01-01 07:38:10.909090909", "2010-01-01 08:43:38.181818181", "2010-01-01 09:49:05.454545454", "2010-01-01 10:54:32.727272727", "2010-01-01 12:00:00", "2010-01-01 13:05:27.272727272", "2010-01-01 14:10:54.545454545", "2010-01-01 15:16:21.818181818", "2010-01-01 16:21:49.090909090", "2010-01-01 17:27:16.363636363", "2010-01-01 18:32:43.636363636", "2010-01-01 19:38:10.909090909", "2010-01-01 20:43:38.181818181", "2010-01-01 21:49:05.454545454", "2010-01-01 22:54:32.727272727", "2010-01-02 00:00:00", ] expected1 = DatetimeIndex( expected_list1, dtype="datetime64[ns, UTC]", freq=None ) expected2 = np.array([0] + [-1] * 21 + [23], dtype=np.dtype("intp")) tm.assert_index_equal(result1, expected1) tm.assert_numpy_array_equal(result2, expected2)