from datetime import (
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datetime,
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time,
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)
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import numpy as np
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import pytest
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from pandas._libs.tslibs import timezones
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import pandas.util._test_decorators as td
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from pandas import (
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DataFrame,
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Series,
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date_range,
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)
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import pandas._testing as tm
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class TestBetweenTime:
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@td.skip_if_not_us_locale
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def test_between_time_formats(self, frame_or_series):
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# GH#11818
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rng = date_range("1/1/2000", "1/5/2000", freq="5min")
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ts = DataFrame(np.random.randn(len(rng), 2), index=rng)
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ts = tm.get_obj(ts, frame_or_series)
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strings = [
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("2:00", "2:30"),
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("0200", "0230"),
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("2:00am", "2:30am"),
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("0200am", "0230am"),
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("2:00:00", "2:30:00"),
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("020000", "023000"),
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("2:00:00am", "2:30:00am"),
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("020000am", "023000am"),
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]
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expected_length = 28
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for time_string in strings:
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assert len(ts.between_time(*time_string)) == expected_length
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@pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
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def test_localized_between_time(self, tzstr, frame_or_series):
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tz = timezones.maybe_get_tz(tzstr)
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rng = date_range("4/16/2012", "5/1/2012", freq="H")
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ts = Series(np.random.randn(len(rng)), index=rng)
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if frame_or_series is DataFrame:
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ts = ts.to_frame()
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ts_local = ts.tz_localize(tzstr)
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t1, t2 = time(10, 0), time(11, 0)
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result = ts_local.between_time(t1, t2)
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expected = ts.between_time(t1, t2).tz_localize(tzstr)
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tm.assert_equal(result, expected)
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assert timezones.tz_compare(result.index.tz, tz)
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def test_between_time_types(self, frame_or_series):
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# GH11818
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rng = date_range("1/1/2000", "1/5/2000", freq="5min")
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obj = DataFrame({"A": 0}, index=rng)
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obj = tm.get_obj(obj, frame_or_series)
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msg = r"Cannot convert arg \[datetime\.datetime\(2010, 1, 2, 1, 0\)\] to a time"
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with pytest.raises(ValueError, match=msg):
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obj.between_time(datetime(2010, 1, 2, 1), datetime(2010, 1, 2, 5))
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def test_between_time(self, inclusive_endpoints_fixture, frame_or_series):
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rng = date_range("1/1/2000", "1/5/2000", freq="5min")
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ts = DataFrame(np.random.randn(len(rng), 2), index=rng)
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ts = tm.get_obj(ts, frame_or_series)
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stime = time(0, 0)
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etime = time(1, 0)
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inclusive = inclusive_endpoints_fixture
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filtered = ts.between_time(stime, etime, inclusive=inclusive)
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exp_len = 13 * 4 + 1
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if inclusive in ["right", "neither"]:
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exp_len -= 5
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if inclusive in ["left", "neither"]:
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exp_len -= 4
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assert len(filtered) == exp_len
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for rs in filtered.index:
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t = rs.time()
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if inclusive in ["left", "both"]:
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assert t >= stime
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else:
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assert t > stime
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if inclusive in ["right", "both"]:
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assert t <= etime
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else:
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assert t < etime
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result = ts.between_time("00:00", "01:00")
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expected = ts.between_time(stime, etime)
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tm.assert_equal(result, expected)
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# across midnight
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rng = date_range("1/1/2000", "1/5/2000", freq="5min")
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ts = DataFrame(np.random.randn(len(rng), 2), index=rng)
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ts = tm.get_obj(ts, frame_or_series)
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stime = time(22, 0)
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etime = time(9, 0)
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filtered = ts.between_time(stime, etime, inclusive=inclusive)
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exp_len = (12 * 11 + 1) * 4 + 1
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if inclusive in ["right", "neither"]:
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exp_len -= 4
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if inclusive in ["left", "neither"]:
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exp_len -= 4
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assert len(filtered) == exp_len
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for rs in filtered.index:
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t = rs.time()
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if inclusive in ["left", "both"]:
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assert (t >= stime) or (t <= etime)
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else:
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assert (t > stime) or (t <= etime)
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if inclusive in ["right", "both"]:
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assert (t <= etime) or (t >= stime)
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else:
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assert (t < etime) or (t >= stime)
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def test_between_time_raises(self, frame_or_series):
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# GH#20725
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obj = DataFrame([[1, 2, 3], [4, 5, 6]])
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obj = tm.get_obj(obj, frame_or_series)
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msg = "Index must be DatetimeIndex"
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with pytest.raises(TypeError, match=msg): # index is not a DatetimeIndex
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obj.between_time(start_time="00:00", end_time="12:00")
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def test_between_time_axis(self, frame_or_series):
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# GH#8839
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rng = date_range("1/1/2000", periods=100, freq="10min")
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ts = Series(np.random.randn(len(rng)), index=rng)
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if frame_or_series is DataFrame:
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ts = ts.to_frame()
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stime, etime = ("08:00:00", "09:00:00")
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expected_length = 7
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assert len(ts.between_time(stime, etime)) == expected_length
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assert len(ts.between_time(stime, etime, axis=0)) == expected_length
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msg = f"No axis named {ts.ndim} for object type {type(ts).__name__}"
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with pytest.raises(ValueError, match=msg):
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ts.between_time(stime, etime, axis=ts.ndim)
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def test_between_time_axis_aliases(self, axis):
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# GH#8839
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rng = date_range("1/1/2000", periods=100, freq="10min")
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ts = DataFrame(np.random.randn(len(rng), len(rng)))
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stime, etime = ("08:00:00", "09:00:00")
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exp_len = 7
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if axis in ["index", 0]:
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ts.index = rng
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assert len(ts.between_time(stime, etime)) == exp_len
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assert len(ts.between_time(stime, etime, axis=0)) == exp_len
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if axis in ["columns", 1]:
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ts.columns = rng
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selected = ts.between_time(stime, etime, axis=1).columns
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assert len(selected) == exp_len
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def test_between_time_axis_raises(self, axis):
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# issue 8839
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rng = date_range("1/1/2000", periods=100, freq="10min")
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mask = np.arange(0, len(rng))
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rand_data = np.random.randn(len(rng), len(rng))
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ts = DataFrame(rand_data, index=rng, columns=rng)
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stime, etime = ("08:00:00", "09:00:00")
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msg = "Index must be DatetimeIndex"
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if axis in ["columns", 1]:
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ts.index = mask
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with pytest.raises(TypeError, match=msg):
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ts.between_time(stime, etime)
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with pytest.raises(TypeError, match=msg):
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ts.between_time(stime, etime, axis=0)
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if axis in ["index", 0]:
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ts.columns = mask
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with pytest.raises(TypeError, match=msg):
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ts.between_time(stime, etime, axis=1)
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def test_between_time_datetimeindex(self):
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index = date_range("2012-01-01", "2012-01-05", freq="30min")
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df = DataFrame(np.random.randn(len(index), 5), index=index)
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bkey = slice(time(13, 0, 0), time(14, 0, 0))
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binds = [26, 27, 28, 74, 75, 76, 122, 123, 124, 170, 171, 172]
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result = df.between_time(bkey.start, bkey.stop)
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expected = df.loc[bkey]
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expected2 = df.iloc[binds]
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tm.assert_frame_equal(result, expected)
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tm.assert_frame_equal(result, expected2)
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assert len(result) == 12
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def test_between_time_incorrect_arg_inclusive(self):
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# GH40245
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rng = date_range("1/1/2000", "1/5/2000", freq="5min")
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ts = DataFrame(np.random.randn(len(rng), 2), index=rng)
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stime = time(0, 0)
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etime = time(1, 0)
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inclusive = "bad_string"
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msg = "Inclusive has to be either 'both', 'neither', 'left' or 'right'"
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with pytest.raises(ValueError, match=msg):
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ts.between_time(stime, etime, inclusive=inclusive)
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