import pytest
import pandas.core.dtypes.concat as _concat
from pandas import DatetimeIndex, Index, Period, PeriodIndex, Series, TimedeltaIndex
@pytest.mark.parametrize(
"to_concat, expected",
[
# int/float/str
([["a"], [1, 2]], ["i", "object"]),
([[3, 4], [1, 2]], ["i"]),
([[3, 4], [1, 2.1]], ["i", "f"]),
# datetimelike
([DatetimeIndex(["2011-01-01"]), DatetimeIndex(["2011-01-02"])], ["datetime"]),
([TimedeltaIndex(["1 days"]), TimedeltaIndex(["2 days"])], ["timedelta"]),
# datetimelike object
(
[
DatetimeIndex(["2011-01-01"]),
DatetimeIndex(["2011-01-02"], tz="US/Eastern"),
],
["datetime", "datetime64[ns, US/Eastern]"],
),
(
[
DatetimeIndex(["2011-01-01"], tz="Asia/Tokyo"),
DatetimeIndex(["2011-01-02"], tz="US/Eastern"),
],
["datetime64[ns, Asia/Tokyo]", "datetime64[ns, US/Eastern]"],
),
([TimedeltaIndex(["1 days"]), TimedeltaIndex(["2 hours"])], ["timedelta"]),
(
[
DatetimeIndex(["2011-01-01"], tz="Asia/Tokyo"),
TimedeltaIndex(["1 days"]),
],
["datetime64[ns, Asia/Tokyo]", "timedelta"],
),
],
)
@pytest.mark.parametrize("klass", [Index, Series])
def test_get_dtype_kinds(klass, to_concat, expected):
to_concat_klass = [klass(c) for c in to_concat]
result = _concat.get_dtype_kinds(to_concat_klass)
assert result == set(expected)
@pytest.mark.parametrize(
"to_concat, expected",
[
(
[PeriodIndex(["2011-01"], freq="M"), PeriodIndex(["2011-01"], freq="M")],
["period[M]"],
),
(
[
Series([Period("2011-01", freq="M")]),
Series([Period("2011-02", freq="M")]),
],
["period[M]"],
),
(
[PeriodIndex(["2011-01"], freq="M"), PeriodIndex(["2011-01"], freq="D")],
["period[M]", "period[D]"],
),
(
[
Series([Period("2011-01", freq="M")]),
Series([Period("2011-02", freq="D")]),
],
["period[M]", "period[D]"],
),
],
)
def test_get_dtype_kinds_period(to_concat, expected):
result = _concat.get_dtype_kinds(to_concat)
assert result == set(expected)