from datetime import timedelta import numpy as np import pytest import pandas as pd from pandas import Timedelta, TimedeltaIndex, timedelta_range, to_timedelta import pandas._testing as tm from pandas.core.arrays import TimedeltaArray class TestTimedeltaIndex: def test_int64_nocopy(self): # GH#23539 check that a copy isn't made when we pass int64 data # and copy=False arr = np.arange(10, dtype=np.int64) tdi = TimedeltaIndex(arr, copy=False) assert tdi._data._data.base is arr def test_infer_from_tdi(self): # GH#23539 # fast-path for inferring a frequency if the passed data already # has one tdi = pd.timedelta_range("1 second", periods=10 ** 7, freq="1s") result = pd.TimedeltaIndex(tdi, freq="infer") assert result.freq == tdi.freq # check that inferred_freq was not called by checking that the # value has not been cached assert "inferred_freq" not in getattr(result, "_cache", {}) def test_infer_from_tdi_mismatch(self): # GH#23539 # fast-path for invalidating a frequency if the passed data already # has one and it does not match the `freq` input tdi = pd.timedelta_range("1 second", periods=100, freq="1s") msg = ( "Inferred frequency .* from passed values does " "not conform to passed frequency" ) with pytest.raises(ValueError, match=msg): TimedeltaIndex(tdi, freq="D") with pytest.raises(ValueError, match=msg): # GH#23789 TimedeltaArray(tdi, freq="D") def test_dt64_data_invalid(self): # GH#23539 # passing tz-aware DatetimeIndex raises, naive or ndarray[datetime64] # raise as of GH#29794 dti = pd.date_range("2016-01-01", periods=3) msg = "cannot be converted to timedelta64" with pytest.raises(TypeError, match=msg): TimedeltaIndex(dti.tz_localize("Europe/Brussels")) with pytest.raises(TypeError, match=msg): TimedeltaIndex(dti) with pytest.raises(TypeError, match=msg): TimedeltaIndex(np.asarray(dti)) def test_float64_ns_rounded(self): # GH#23539 without specifying a unit, floats are regarded as nanos, # and fractional portions are truncated tdi = TimedeltaIndex([2.3, 9.7]) expected = TimedeltaIndex([2, 9]) tm.assert_index_equal(tdi, expected) # integral floats are non-lossy tdi = TimedeltaIndex([2.0, 9.0]) expected = TimedeltaIndex([2, 9]) tm.assert_index_equal(tdi, expected) # NaNs get converted to NaT tdi = TimedeltaIndex([2.0, np.nan]) expected = TimedeltaIndex([pd.Timedelta(nanoseconds=2), pd.NaT]) tm.assert_index_equal(tdi, expected) def test_float64_unit_conversion(self): # GH#23539 tdi = TimedeltaIndex([1.5, 2.25], unit="D") expected = TimedeltaIndex([Timedelta(days=1.5), Timedelta(days=2.25)]) tm.assert_index_equal(tdi, expected) def test_construction_base_constructor(self): arr = [pd.Timedelta("1 days"), pd.NaT, pd.Timedelta("3 days")] tm.assert_index_equal(pd.Index(arr), pd.TimedeltaIndex(arr)) tm.assert_index_equal(pd.Index(np.array(arr)), pd.TimedeltaIndex(np.array(arr))) arr = [np.nan, pd.NaT, pd.Timedelta("1 days")] tm.assert_index_equal(pd.Index(arr), pd.TimedeltaIndex(arr)) tm.assert_index_equal(pd.Index(np.array(arr)), pd.TimedeltaIndex(np.array(arr))) def test_constructor(self): expected = TimedeltaIndex( [ "1 days", "1 days 00:00:05", "2 days", "2 days 00:00:02", "0 days 00:00:03", ] ) result = TimedeltaIndex( [ "1 days", "1 days, 00:00:05", np.timedelta64(2, "D"), timedelta(days=2, seconds=2), pd.offsets.Second(3), ] ) tm.assert_index_equal(result, expected) # unicode result = TimedeltaIndex( [ "1 days", "1 days, 00:00:05", np.timedelta64(2, "D"), timedelta(days=2, seconds=2), pd.offsets.Second(3), ] ) expected = TimedeltaIndex( ["0 days 00:00:00", "0 days 00:00:01", "0 days 00:00:02"] ) tm.assert_index_equal(TimedeltaIndex(range(3), unit="s"), expected) expected = TimedeltaIndex( ["0 days 00:00:00", "0 days 00:00:05", "0 days 00:00:09"] ) tm.assert_index_equal(TimedeltaIndex([0, 5, 9], unit="s"), expected) expected = TimedeltaIndex( ["0 days 00:00:00.400", "0 days 00:00:00.450", "0 days 00:00:01.200"] ) tm.assert_index_equal(TimedeltaIndex([400, 450, 1200], unit="ms"), expected) def test_constructor_iso(self): # GH #21877 expected = timedelta_range("1s", periods=9, freq="s") durations = ["P0DT0H0M{}S".format(i) for i in range(1, 10)] result = to_timedelta(durations) tm.assert_index_equal(result, expected) def test_constructor_coverage(self): rng = timedelta_range("1 days", periods=10.5) exp = timedelta_range("1 days", periods=10) tm.assert_index_equal(rng, exp) msg = "periods must be a number, got foo" with pytest.raises(TypeError, match=msg): timedelta_range(start="1 days", periods="foo", freq="D") with pytest.raises(TypeError): TimedeltaIndex("1 days") # generator expression gen = (timedelta(i) for i in range(10)) result = TimedeltaIndex(gen) expected = TimedeltaIndex([timedelta(i) for i in range(10)]) tm.assert_index_equal(result, expected) # NumPy string array strings = np.array(["1 days", "2 days", "3 days"]) result = TimedeltaIndex(strings) expected = to_timedelta([1, 2, 3], unit="d") tm.assert_index_equal(result, expected) from_ints = TimedeltaIndex(expected.asi8) tm.assert_index_equal(from_ints, expected) # non-conforming freq msg = ( "Inferred frequency None from passed values does not conform to " "passed frequency D" ) with pytest.raises(ValueError, match=msg): TimedeltaIndex(["1 days", "2 days", "4 days"], freq="D") msg = ( "Of the four parameters: start, end, periods, and freq, exactly " "three must be specified" ) with pytest.raises(ValueError, match=msg): timedelta_range(periods=10, freq="D") def test_constructor_name(self): idx = timedelta_range(start="1 days", periods=1, freq="D", name="TEST") assert idx.name == "TEST" # GH10025 idx2 = TimedeltaIndex(idx, name="something else") assert idx2.name == "something else" def test_constructor_no_precision_raises(self): # GH-24753, GH-24739 msg = "with no precision is not allowed" with pytest.raises(ValueError, match=msg): pd.TimedeltaIndex(["2000"], dtype="timedelta64") with pytest.raises(ValueError, match=msg): pd.Index(["2000"], dtype="timedelta64") def test_constructor_wrong_precision_raises(self): with pytest.raises(ValueError): pd.TimedeltaIndex(["2000"], dtype="timedelta64[us]")