Pandas df.reset_index() fails with a multi index with Nan's

I believe this is the same issue as #6322 .

The code below returns the error: IndexError: cannot do a non-empty take from an empty axes.

import pandas as pd
import numpy as np
import random
import string



# Create 12 random strings 3 char long 
rndm_strgs = [''.join(random.SystemRandom().choice(string.ascii_uppercase + string.digits) for _ in range(3)) for i in range(12)]            
rndm_strgs[0] = None
rndm_strgs[5] = None

# Make Dataframe
df = pd.DataFrame({'A' : list('pandasisgood'),
                   'B' : np.nan,
                   'C' : rndm_strgs,
                   'D' : np.random.rand(12)})

# Set an Index -> Columns have Nans
df_w_idx = df.set_index(['A','B','C'])

df_w_idx.reset_index()

To get the result I wanted:

for clmNm in df_w_idx.index.names:
    print(clmNm)

    df_w_idx[clmNm] = df_w_idx.index.get_level_values(clmNm)


df_w_idx = df_w_idx.reset_index(drop=True).copy()
df_w_idx

Comment From: jreback

pls just put this example on the duplicated issue instead