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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_json_object(col, path):
 """ Extracts json object from a json string based on json path specified, and returns json string of the extracted json object. It will return null if the input json string is invalid. :param col: string column in json format :param path: path to the json object to extract [Row(key=u'1', c0=u'value1', c1=u'value2'), Row(key=u'2', c0=u'value12', c1=None)] """

    sc = SparkContext._active_spark_context
    jc = sc._jvm.functions.get_json_object(_to_java_column(col), path)
    return Column(jc)