code: def read_pandas(source, columns=None, **kwargs):
      return read_table(
          source, columns=columns, use_pandas_metadata=True, **kwargs
      )
  
imports: from collections import defaultdict
  from contextlib import nullcontext
  from functools import reduce
  import inspect
  import json
  import os
  import re
  import operator
  import warnings
  import pyarrow
  from pyarrow._parquet import ParquetReader, Statistics, FileMetaData, RowGroupMetaData, ColumnChunkMetaData, ParquetSchema, ColumnSchema, ParquetLogicalType, FileEncryptionProperties, FileDecryptionProperties, SortingColumn
  from pyarrow.fs import LocalFileSystem, FileSystem, FileType, _resolve_filesystem_and_path, _ensure_filesystem
  from pyarrow import filesystem
  from pyarrow.util import guid, _is_path_like, _stringify_path, _deprecate_api
label_desc: Use image node_id 10 for calling a global function with example usage: read_pandas(source, columns) and returns: read_table