def test_concat_periods(self):
periods = pd.period_range("2000-01-01", periods=10)
indexes = [PandasIndex(periods[:5], "t"), PandasIndex(periods[5:], "t")]
expected = PandasIndex(periods, "t")
actual = PandasIndex.concat(indexes, dim="t")
assert actual.equals(expected)
assert isinstance(actual.index, pd.PeriodIndex)
positions = [list(range(5)), list(range(5, 10))]
actual = PandasIndex.concat(indexes, dim="t", positions=positions)
assert actual.equals(expected)
assert isinstance(actual.index, pd.PeriodIndex)
def test_concat_str_dtype(self, dtype) -> None:
a = PandasIndex(np.array(["a"], dtype=dtype), "x", coord_dtype=dtype)
b = PandasIndex(np.array(["b"], dtype=dtype), "x", coord_dtype=dtype)
expected = PandasIndex(np.array(["a", "b"], dtype=dtype),
"x",
coord_dtype=dtype)
actual = PandasIndex.concat([a, b], "x")
assert actual.equals(expected)
assert np.issubdtype(actual.coord_dtype, dtype)
def test_concat_dim_error(self) -> None:
indexes = [PandasIndex([0, 1], "x"), PandasIndex([2, 3], "y")]
with pytest.raises(ValueError,
match=r"Cannot concatenate.*dimensions.*"):
PandasIndex.concat(indexes, "x")
def test_concat_empty(self) -> None:
idx = PandasIndex.concat([], "x")
assert idx.coord_dtype is np.dtype("O")
