Function compare_against_pandas

xarray/tests/test_cftimeindex_resample.py:77–124

(
    da_datetimeindex,
    da_cftimeindex,
    freq,
    closed=None,
    label=None,
    offset=None,
    origin=None,
)

def compare_against_pandas(
    da_datetimeindex,
    da_cftimeindex,
    freq,
    closed=None,
    label=None,
    offset=None,
    origin=None,
) -> None:
    if isinstance(origin, tuple):
        origin_pandas = pd.Timestamp(datetime.datetime(*origin))
        origin_cftime = cftime.DatetimeGregorian(*origin)
    else:
        origin_pandas = origin
        origin_cftime = origin

    try:
        result_datetimeindex = da_datetimeindex.resample(
            time=freq,
            closed=closed,
            label=label,
            offset=offset,
            origin=origin_pandas,
        ).mean()
    except ValueError:
        with pytest.raises(ValueError):
            da_cftimeindex.resample(
                time=freq,
                closed=closed,
                label=label,
                origin=origin_cftime,
                offset=offset,
            ).mean()
    else:
        result_cftimeindex = da_cftimeindex.resample(
            time=freq,
            closed=closed,
            label=label,
            origin=origin_cftime,
            offset=offset,
        ).mean()
    # TODO (benbovy - flexible indexes): update when CFTimeIndex is an xarray Index subclass
    result_cftimeindex["time"] = (
        result_cftimeindex.xindexes["time"]
        .to_pandas_index()
        .to_datetimeindex(time_unit="ns")
    )
    xr.testing.assert_identical(result_cftimeindex, result_datetimeindex)


def da(index) -> xr.DataArray: