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alkaline-ml / pandas   python

Repository URL to install this package:

Version: 1.1.1 

/ tests / indexes / datetimes / test_join.py

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)