156 lines
4.7 KiB
Python
156 lines
4.7 KiB
Python
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from datetime import (
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datetime,
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timezone,
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)
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import numpy as np
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import pytest
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from pandas import (
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DatetimeIndex,
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Index,
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Timestamp,
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date_range,
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to_datetime,
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)
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import pandas._testing as tm
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from pandas.tseries.offsets import (
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BDay,
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BMonthEnd,
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)
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class TestJoin:
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def test_does_not_convert_mixed_integer(self):
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df = tm.makeCustomDataframe(
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10,
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10,
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data_gen_f=lambda *args, **kwargs: np.random.randn(),
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r_idx_type="i",
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c_idx_type="dt",
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)
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cols = df.columns.join(df.index, how="outer")
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joined = cols.join(df.columns)
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assert cols.dtype == np.dtype("O")
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assert cols.dtype == joined.dtype
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tm.assert_numpy_array_equal(cols.values, joined.values)
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def test_join_self(self, join_type):
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index = date_range("1/1/2000", periods=10)
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joined = index.join(index, how=join_type)
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assert index is joined
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def test_join_with_period_index(self, join_type):
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df = tm.makeCustomDataframe(
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10,
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10,
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data_gen_f=lambda *args: np.random.randint(2),
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c_idx_type="p",
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r_idx_type="dt",
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)
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s = df.iloc[:5, 0]
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expected = df.columns.astype("O").join(s.index, how=join_type)
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result = df.columns.join(s.index, how=join_type)
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tm.assert_index_equal(expected, result)
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def test_join_object_index(self):
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rng = date_range("1/1/2000", periods=10)
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idx = Index(["a", "b", "c", "d"])
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result = rng.join(idx, how="outer")
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assert isinstance(result[0], Timestamp)
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def test_join_utc_convert(self, join_type):
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rng = date_range("1/1/2011", periods=100, freq="H", tz="utc")
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left = rng.tz_convert("US/Eastern")
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right = rng.tz_convert("Europe/Berlin")
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result = left.join(left[:-5], how=join_type)
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assert isinstance(result, DatetimeIndex)
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assert result.tz == left.tz
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result = left.join(right[:-5], how=join_type)
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assert isinstance(result, DatetimeIndex)
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assert result.tz is timezone.utc
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def test_datetimeindex_union_join_empty(self, sort):
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dti = date_range(start="1/1/2001", end="2/1/2001", freq="D")
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empty = Index([])
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result = dti.union(empty, sort=sort)
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expected = dti.astype("O")
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tm.assert_index_equal(result, expected)
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result = dti.join(empty)
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assert isinstance(result, DatetimeIndex)
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tm.assert_index_equal(result, dti)
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def test_join_nonunique(self):
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idx1 = to_datetime(["2012-11-06 16:00:11.477563", "2012-11-06 16:00:11.477563"])
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idx2 = to_datetime(["2012-11-06 15:11:09.006507", "2012-11-06 15:11:09.006507"])
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rs = idx1.join(idx2, how="outer")
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assert rs.is_monotonic_increasing
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@pytest.mark.parametrize("freq", ["B", "C"])
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def test_outer_join(self, freq):
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# should just behave as union
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start, end = datetime(2009, 1, 1), datetime(2010, 1, 1)
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rng = date_range(start=start, end=end, freq=freq)
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# overlapping
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left = rng[:10]
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right = rng[5:10]
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the_join = left.join(right, how="outer")
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assert isinstance(the_join, DatetimeIndex)
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# non-overlapping, gap in middle
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left = rng[:5]
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right = rng[10:]
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the_join = left.join(right, how="outer")
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assert isinstance(the_join, DatetimeIndex)
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assert the_join.freq is None
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# non-overlapping, no gap
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left = rng[:5]
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right = rng[5:10]
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the_join = left.join(right, how="outer")
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assert isinstance(the_join, DatetimeIndex)
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# overlapping, but different offset
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other = date_range(start, end, freq=BMonthEnd())
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the_join = rng.join(other, how="outer")
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assert isinstance(the_join, DatetimeIndex)
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assert the_join.freq is None
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def test_naive_aware_conflicts(self):
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start, end = datetime(2009, 1, 1), datetime(2010, 1, 1)
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naive = date_range(start, end, freq=BDay(), tz=None)
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aware = date_range(start, end, freq=BDay(), tz="Asia/Hong_Kong")
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msg = "tz-naive.*tz-aware"
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with pytest.raises(TypeError, match=msg):
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naive.join(aware)
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with pytest.raises(TypeError, match=msg):
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aware.join(naive)
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@pytest.mark.parametrize("tz", [None, "US/Pacific"])
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def test_join_preserves_freq(self, tz):
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# GH#32157
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dti = date_range("2016-01-01", periods=10, tz=tz)
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result = dti[:5].join(dti[5:], how="outer")
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assert result.freq == dti.freq
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tm.assert_index_equal(result, dti)
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result = dti[:5].join(dti[6:], how="outer")
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assert result.freq is None
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expected = dti.delete(5)
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tm.assert_index_equal(result, expected)
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