[Python] Problem renaming index value in pandas multiindex series

Please consider this dataframe:

temp = pd.DataFrame({'has_exclamation': {('automotive', 0.0): 99.1814132659203,
('automotive', np.nan): 0.8185867340796917,
('beauty_spa', 0.0): 99.8,
('beauty_spa', np.nan): 0.15384615384615385,
('beauty_spa', 1.0): 0.04615384615384615},
'has_exclamation_end': {('automotive', 0.0): 99.1814132659203,
('automotive', np.nan): 0.8185867340796917,
('beauty_spa', 0.0): 99.83846153846154,
('beauty_spa', np.nan): 0.15384615384615385,
('beauty_spa', 1.0): 0.007692307692307693},
'has_all_cap': {('automotive', 0.0): 98.88046226074395,
('automotive', np.nan): 0.8185867340796917,
('beauty_spa', 0.0): 99.56153846153846,
('beauty_spa', np.nan): 0.15384615384615385,
('beauty_spa', 1.0): 0.28461538461538466}})


temp:



To replace the NaNs with 'Missing' in the index, why does this not work?

temp.rename(index={np.nan: 'Missing'}, level =1)

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