In [2]: df = pd.DataFrame({'x':['a', 'a', 'b'], 'y':['j', 'k', 'j'], 'z':[0, 1, 2]}) In [3]: df.set_index(['x', 'y']).unstack() Out[3]: z y j k x a 0 1 b 2 NaN
If I want to fill with -1, i need to fillna
and then astype
back to int
. Ideally:
In [3]: df.set_index(['x', 'y']).unstack(fill_value=-1) Out[3]: z y j k x a 0 1 b 2 -1
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