Python pandas Multindex column

Question

First of all, I\'m using python 3.50 in a jupyter notebook.

I want to create a DataFrame for showing some data in a report. I want it to have two index column (Excuse me

Answer 1

There is one major difference between your code and the example: the example passes a numpy array as the input rather than a nested list. In fact, adding np.array(...) around your list works just fine:

cell_rise_Inv= pd.DataFrame(
        np.array([[0.00483211, 0.00511619, 0.00891821, 0.0449637, 0.205753], 
                  [0.00520049, 0.00561577, 0.010993, 0.0468998, 0.207461],
                  [0.00357213, 0.00429087, 0.0132186, 0.0536389, 0.21384],
                  [-0.0021868, -0.0011312, 0.0120546, 0.0647213, 0.224749],
                  [-0.0725403, -0.0700884, -0.0382486, 0.0899121, 0.313639]]), 
        index=[['transition [ns]'] * 5,
               [0.0005, 0.001, 0.01, 0.1, 0.5]],
        columns=[['capacitance [pF]'] * 5,
                 [0.01, 0.02, 0.05, 0.1, 0.5]])

I shortened the repeated strings in the index and swapped the order of the index levels, but those are not significant changes.

EDIT Did a little investigating. If you pass in a nested list (without the np.array call), the call will work without columns and even if columns is a 1D list. For some reason the nested list of two elements is not being interpreted as a multiindex unless the input is an ndarray.

I filed issue #14467 with pandas based on this question.