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Is this a bug? If this is intentional, it is pretty dangerous to fill missing values with True.
>>> df = pd.DataFrame([False, False], index=pd.MultiIndex.from_arrays([['a', 'b'], ['c', 'l']]), columns=['col'])
>>> df
col
a c False
b l False
>>> df.unstack()
col
c l
a False True
b True False
The text was updated successfully, but these errors were encountered:
Is this a bug? If this is intentional, it is pretty dangerous to fill missing values with
True
.The text was updated successfully, but these errors were encountered: