def isin(self, *cols):
        """
        A boolean expression that is evaluated to true if the value of this
        expression is contained by the evaluated values of the arguments.

        >>> df[df.name.isin("Bob", "Mike")].collect()
        [Row(age=5, name=u'Bob')]
        >>> df[df.age.isin([1, 2, 3])].collect()
        [Row(age=2, name=u'Alice')]
        """
        if len(cols) == 1 and isinstance(cols[0], (list, set)):
            cols = cols[0]
        cols = [c._jc if isinstance(c, Column) else _create_column_from_literal(c) for c in cols]
        sc = SparkContext._active_spark_context
        jc = getattr(self._jc, "isin")(_to_seq(sc, cols))
        return Column(jc)
def isin ( self , * cols ) : if len ( cols ) == 1 and isinstance ( cols [ 0 ] , ( list , set ) ) : cols = cols [ 0 ] cols = [ c . _jc if isinstance ( c , Column ) else _create_column_from_literal ( c ) for c in cols ] sc = SparkContext . _active_spark_context jc = getattr ( self . _jc , "isin" ) ( _to_seq ( sc , cols ) ) return Column ( jc )
A boolean expression that is evaluated to true if the value of this
        expression is contained by the evaluated values of the arguments.

        >>> df[df.name.isin("Bob", "Mike")].collect()
        [Row(age=5, name=u'Bob')]
        >>> df[df.age.isin([1, 2, 3])].collect()
        [Row(age=2, name=u'Alice')]