class_docstr: The API necessary to provide a new Parquet reader/writer
docstr: Read a single piece of a Parquet dataset into a Pandas DataFrame
  
  This function is called many times in individual tasks
  
  Parameters
  ----------
  fs: FileSystem
  piece: object
      This is some token that is returned by Engine.read_metadata.
      Typically it represents a row group in a Parquet dataset
  columns: List[str]
      List of column names to pull out of that row group
  index: str, List[str], or False
      The index name(s).
  use_nullable_dtypes: boolean
      Whether to use pandas nullable dtypes (like "string" or "Int64")
      where appropriate when reading parquet files.
  dtype_backend: {"numpy_nullable", "pyarrow"}
      Whether to use pandas nullable dtypes (like "string" or "Int64")
      where appropriate when reading parquet files.
  convert_string: boolean
      Whether to use pyarrow strings when reading parquet files.
  **kwargs:
      Includes `"kwargs"` values stored within the `parts` output
      of `engine.read_metadata`. May also include arguments to be
      passed to the backend (if stored under a top-level `"read"` key).
  
  Returns
  -------
  A Pandas DataFrame
docstr_tok: ["Read","a","single","piece","of","a","Parquet","dataset","into","a","Pandas","DataFrame","This","function","is","called","many","times","in","individual","tasks","Parameters","--","--","--","--","--","fs",":","FileSystem","piece",":","object","This","is","some","token","that","is","returned","by","Engine.read_metadata",".","Typically","it","represents","a","row","group","in","a","Parquet","dataset","columns",":","List","[","str","]","List","of","column","names","to","pull","out","of","that","row","group","index",":","str",",","List","[","str","]",",","or","False","The","index","name","(","s",")",".","use_nullable_dtypes",":","boolean","Whether","to","use","pandas","nullable","dtypes","(","like","``","string","''","or","``","Int64","''",")","where","appropriate","when","reading","parquet","files",".","dtype_backend",":","{","``","numpy_nullable","''",",","``","pyarrow","''","}","Whether","to","use","pandas","nullable","dtypes","(","like","``","string","''","or","``","Int64","''",")","where","appropriate","when","reading","parquet","files",".","convert_string",":","boolean","Whether","to","use","pyarrow","strings","when","reading","parquet","files",".","*","*","kwargs",":","Includes","`","``","kwargs","''","`","values","stored","within","the","`","parts","`","output","of","`","engine.read_metadata","`",".","May","also","include","arguments","to","be","passed","to","the","backend","(","if","stored","under","a","top-level","`","``","read","''","`","key",")",".","Returns","--","--","--","-","A","Pandas","DataFrame"]
code: def read_partition(
      cls,
      fs,
      piece,
      columns,
      index,
      use_nullable_dtypes=False,
      **kwargs,
  ):
      """Read a single piece of a Parquet dataset into a Pandas DataFrame
  
      This function is called many times in individual tasks
  
      Parameters
      ----------
      fs: FileSystem
      piece: object
          This is some token that is returned by Engine.read_metadata.
          Typically it represents a row group in a Parquet dataset
      columns: List[str]
          List of column names to pull out of that row group
      index: str, List[str], or False
          The index name(s).
      use_nullable_dtypes: boolean
          Whether to use pandas nullable dtypes (like "string" or "Int64")
          where appropriate when reading parquet files.
      dtype_backend: {"numpy_nullable", "pyarrow"}
          Whether to use pandas nullable dtypes (like "string" or "Int64")
          where appropriate when reading parquet files.
      convert_string: boolean
          Whether to use pyarrow strings when reading parquet files.
      **kwargs:
          Includes `"kwargs"` values stored within the `parts` output
          of `engine.read_metadata`. May also include arguments to be
          passed to the backend (if stored under a top-level `"read"` key).
  
      Returns
      -------
      A Pandas DataFrame
      """
      raise NotImplementedError()
  
imports: from __future__ import annotations
  import re
  import warnings
  import numpy
  import pandas
  from fsspec.core import expand_paths_if_needed, get_fs_token_paths, stringify_path
  from fsspec.spec import AbstractFileSystem
  from dask import config
  from dask.dataframe.io.utils import _is_local_fs
  from dask.utils import natural_sort_key, parse_bytes
label_desc: Use image node_id 4 for calling the Engine obj's underlying member method code with example usage: obj.read_partition(cls, fs, piece, columns, index, use_nullable_dtypes) without return types