pd.Series.isin

pandas.Series.isin(values)

Supported Arguments

argument	datatypes
values	Series Array List

Note

values argument supports both distributed array/Series and replicated list/array/Series

Example Usage

>>> @bodo.jit
... def f(S):
...     return S.isin([3, 11, 98])
>>> S = pd.Series(np.arange(100))
>>> f(S)
0     False
1     False
2     False
3      True
4     False
      ...
95    False
96    False
97    False
98     True
99    False
Length: 100, dtype: bool