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__init__.py2250644editdlrm
Edit: /usr/local/lib64/python3.6/site-packages/pandas/tests/series/methods/test_between_time.py (5086B)
from datetime import datetime, time from itertools import product import numpy as np import pytest from pandas._libs.tslibs import timezones import pandas.util._test_decorators as td from pandas import DataFrame, Series, date_range import pandas._testing as tm class TestBetweenTime: @pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"]) def test_localized_between_time(self, tzstr): tz = timezones.maybe_get_tz(tzstr) rng = date_range("4/16/2012", "5/1/2012", freq="H") ts = Series(np.random.randn(len(rng)), index=rng) ts_local = ts.tz_localize(tzstr) t1, t2 = time(10, 0), time(11, 0) result = ts_local.between_time(t1, t2) expected = ts.between_time(t1, t2).tz_localize(tzstr) tm.assert_series_equal(result, expected) assert timezones.tz_compare(result.index.tz, tz) def test_between_time(self): rng = date_range("1/1/2000", "1/5/2000", freq="5min") ts = Series(np.random.randn(len(rng)), index=rng) stime = time(0, 0) etime = time(1, 0) close_open = product([True, False], [True, False]) for inc_start, inc_end in close_open: filtered = ts.between_time(stime, etime, inc_start, inc_end) exp_len = 13 * 4 + 1 if not inc_start: exp_len -= 5 if not inc_end: exp_len -= 4 assert len(filtered) == exp_len for rs in filtered.index: t = rs.time() if inc_start: assert t >= stime else: assert t > stime if inc_end: assert t <= etime else: assert t < etime result = ts.between_time("00:00", "01:00") expected = ts.between_time(stime, etime) tm.assert_series_equal(result, expected) # across midnight rng = date_range("1/1/2000", "1/5/2000", freq="5min") ts = Series(np.random.randn(len(rng)), index=rng) stime = time(22, 0) etime = time(9, 0) close_open = product([True, False], [True, False]) for inc_start, inc_end in close_open: filtered = ts.between_time(stime, etime, inc_start, inc_end) exp_len = (12 * 11 + 1) * 4 + 1 if not inc_start: exp_len -= 4 if not inc_end: exp_len -= 4 assert len(filtered) == exp_len for rs in filtered.index: t = rs.time() if inc_start: assert (t >= stime) or (t <= etime) else: assert (t > stime) or (t <= etime) if inc_end: assert (t <= etime) or (t >= stime) else: assert (t < etime) or (t >= stime) def test_between_time_raises(self): # GH20725 ser = Series("a b c".split()) msg = "Index must be DatetimeIndex" with pytest.raises(TypeError, match=msg): ser.between_time(start_time="00:00", end_time="12:00") def test_between_time_types(self): # GH11818 rng = date_range("1/1/2000", "1/5/2000", freq="5min") msg = r"Cannot convert arg \[datetime\.datetime\(2010, 1, 2, 1, 0\)\] to a time" with pytest.raises(ValueError, match=msg): rng.indexer_between_time(datetime(2010, 1, 2, 1), datetime(2010, 1, 2, 5)) frame = DataFrame({"A": 0}, index=rng) with pytest.raises(ValueError, match=msg): frame.between_time(datetime(2010, 1, 2, 1), datetime(2010, 1, 2, 5)) series = Series(0, index=rng) with pytest.raises(ValueError, match=msg): series.between_time(datetime(2010, 1, 2, 1), datetime(2010, 1, 2, 5)) @td.skip_if_has_locale def test_between_time_formats(self): # GH11818 rng = date_range("1/1/2000", "1/5/2000", freq="5min") ts = DataFrame(np.random.randn(len(rng), 2), index=rng) strings = [ ("2:00", "2:30"), ("0200", "0230"), ("2:00am", "2:30am"), ("0200am", "0230am"), ("2:00:00", "2:30:00"), ("020000", "023000"), ("2:00:00am", "2:30:00am"), ("020000am", "023000am"), ] expected_length = 28 for time_string in strings: assert len(ts.between_time(*time_string)) == expected_length def test_between_time_axis(self): # issue 8839 rng = date_range("1/1/2000", periods=100, freq="10min") ts = Series(np.random.randn(len(rng)), index=rng) stime, etime = ("08:00:00", "09:00:00") expected_length = 7 assert len(ts.between_time(stime, etime)) == expected_length assert len(ts.between_time(stime, etime, axis=0)) == expected_length msg = "No axis named 1 for object type Series" with pytest.raises(ValueError, match=msg): ts.between_time(stime, etime, axis=1)