Tuples not accepted for dim keyword.

Describe the bug When passing dimensions to dim=... in .verify(...), tuples break it and they should not, since it’s a base python type similar to list.

Code Sample

import climpred

hind = climpred.tutorial.load_dataset("CESM-DP-SST-3D")
verif = climpred.tutorial.load_dataset("FOSI-SST-3D")
hindcast = climpred.HindcastEnsemble(hind).add_observations(verif)

# works
hindcast.verify(
    metric="acc", comparison="e2o", alignment="maximize", dim=("nlat")
)


# works
hindcast.verify(
    metric="acc", comparison="e2o", alignment="maximize", dim=["init", "nlat"]
)

# breaks
hindcast.verify(
    metric="acc", comparison="e2o", alignment="maximize", dim=("init", "nlat")
)

Expected behavior We should be able to pass in tuples of len > 1 to dim.

Additional context Should be an easy fix. Track wherever this error is thrown:

ValueError: Expected `dim` as `str`, `list` or None, found ('nlat', 'nlon') as type <class 'tuple'>.

[ahuang11]

If you want any Iterable (str, list, tuple, np.array, pd.Series, xr.DataArray), you can do

from collections.abc import Iterable
isisinstance(dim, Iterable)

Or define a constant somewhere

VALID_DIM_TYPES = (list, tuple, str)
isinstance(dim ,VALID_DIM_TYPES)

[ahuang11]

Haha yea true. The most dimensions I’ve worked with experiment, member, initialization, forecast_step, level, lat, lon

But ( just reminded me of pd.cut and the results are like (3, 4], where ] is inclusive of 4 or something