Python pandas unique value ignoring NaN

Define a function:

def unique_non_null(s):
    return s.dropna().unique()

Then use it in the aggregation:

df.groupby('b').agg({
    'a': ['min', 'max', unique_non_null], 
    'c': ['first', 'last', unique_non_null]
})