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