class_docstr: A standard ``string.Formatter`` in Python that can understand pandas-on-Spark instances
  with basic Python objects. This object must be clear after the use for single SQL
  query; cannot be reused across multiple SQL queries without cleaning.
class_docstr_tok: ["A","standard","``","string.Formatter","``","in","Python","that","can","understand","pandas-on-Spark","instances","with","basic","Python","objects",".","This","object","must","be","clear","after","the","use","for","single","SQL","query",";","can","not","be","reused","across","multiple","SQL","queries","without","cleaning","."]
code: def vformat(
      self,
      format_string: str,
      args: Sequence[Any],
      kwargs: Mapping[str, Any],
  ) -> str:
      ret = super(PandasSQLStringFormatter, self).vformat(
          format_string, args, kwargs
      )
  
      for ref, n in self._ref_sers:
          if not any(
              (ref is v for v in df._pssers.values())
              for df, _ in self._temp_views
          ):
              # If referred DataFrame does not hold the given Series, raise an error.
              raise ValueError(
                  "The series in {%s} does not refer any dataframe specified."
                  % n
              )
      return ret
  
imports: import os
  import string
  from typing import Any, Dict, Optional, Union, List, Sequence, Mapping, Tuple
  import uuid
  import warnings
  import pandas
  from pyspark.pandas.internal import InternalFrame
  from pyspark.pandas.namespace import _get_index_map
  from pyspark import pandas
  from pyspark.sql import SparkSession
  from pyspark.pandas.utils import default_session
  from pyspark.pandas.frame import DataFrame
  from pyspark.pandas.series import Series
  from pyspark.errors import PySparkTypeError
  from pyspark.sql.utils import is_remote
label_desc: Use image node_id 2 for calling the PandasSQLStringFormatter obj's underlying member method code with example usage: obj.vformat(format_string, args, kwargs) and returns: ret