Parameter cannot be passed to pandas udf of type map_iter

Parameters can only be passed in the following way:

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from pyspark.sql.functions import pandas_udf, PandasUDFType

def map_iter_pandas_udf_example(spark):
    strr = "abcd
    df = spark.createDataFrame([(1, 21),(2,30)],("id", "age")) 

    @pandas_udf(df.schema, PandasUDFType.MAP_ITER)
    def filter_func(batch_iter, x = strr):
        print
        for pdf in batch_iter:
            yield pdf[pdf.id == 1]

    df.mapInPandas(filter_func).show()

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However, if the code edited as follow, error ccurred:

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from pyspark.sql.functions import pandas_udf, PandasUDFType

def map_iter_pandas_udf_example(spark):
    strr = "abcd
    df = spark.createDataFrame([(1, 21),(2,30)],("id", "age")) 

    @pandas_udf(df.schema, PandasUDFType.MAP_ITER)
    def filter_func(batch_iter, x = strr):
        print
        for pdf in batch_iter:
            yield pdf[pdf.id == 1]

    data = "dbca"

    df.mapInPandas(filter_func(data)).show()

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ValueError: Invalid udf: the udf argument must be a pandas_udf of type MAP_ITER.

Does anyone know if pandas udf of type map_iter can pass parameters, and if so, how to write the code? Thanks.