def multi_index_shape(index: pd.MultiIndex):
sets = [set() for _ in range(index.nlevels)]
for tple in index.tolist():
for i in range(index.nlevels):
sets[i].add(tple[i])
return tuple(len(x) for x in sets)
def _get_simplified_varname(variablesDict_index: pd.MultiIndex) -> pd.DataFrame:
tup_index = variablesDict_index.tolist()
last_valid_name_list = [[x for x in tup if str(x) != 'nan'][-1] for tup in tup_index]
return last_valid_name_list
