I found some problems while using data_frame sort_index, first, create dataframe

data = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]), columns=['a', 'b', 'c']) data = data.set_index('a') data.sort_index(level=['a'], ascending=[False]) 

Then I want to sort index "a" in descending order,

data.sort_index(level=['a'], ascending=[False]) 

The above code does not sort index a in descending order, I found the reason is that this dataframe is a single index structure, so when ascending = list is passed, it does not take effect

Because when it is used, the index may be single index or multi-index. In order to use the effect uniformly,I think there should be a judgment here. If index is a single index and ascending type == list, ascending should be equal to ascending [0]，This may be more user friendly

If yes, can I mention pr