code: def to_pandas(self):
      import pandas as pd
  
      def make_attribute_value(
          attribute: AttributeWithProperties,
      ) -> Optional[Union[str, float, datetime]]:
          _type = attribute.type
          _properties = attribute.properties
          if _type == AttributeType.RUN_STATE:
              return RunState.from_api(_properties.get("value")).value
          if _type in (
              AttributeType.FLOAT,
              AttributeType.INT,
              AttributeType.BOOL,
              AttributeType.STRING,
              AttributeType.DATETIME,
          ):
              return _properties.get("value")
          if (
              _type == AttributeType.FLOAT_SERIES
              or _type == AttributeType.STRING_SERIES
          ):
              return _properties.get("last")
          if _type == AttributeType.IMAGE_SERIES:
              return None
          if (
              _type == AttributeType.FILE
              or _type == AttributeType.FILE_SET
          ):
              return None
          if _type == AttributeType.STRING_SET:
              return ",".join(_properties.get("values"))
          if _type == AttributeType.GIT_REF:
              return _properties.get("commit", {}).get("commitId")
          if _type == AttributeType.NOTEBOOK_REF:
              return _properties.get("notebookName")
          if _type == AttributeType.ARTIFACT:
              return _properties.get("hash")
          logger.error(
              "Attribute type %s not supported in this version, yielding None. Recommended client upgrade.",
              _type,
          )
          return None
  
      def make_row(
          entry: LeaderboardEntry,
      ) -> Dict[str, Optional[Union[str, float, datetime]]]:
          row: Dict[str, Union[str, float, datetime]] = dict()
          for attr in entry.attributes:
              value = make_attribute_value(attr)
              if value is not None:
                  row[attr.path] = value
          return row
  
      def sort_key(attr):
          domain = attr.split("/")[0]
          if domain == "sys":
              return 0, attr
          if domain == "monitoring":
              return 2, attr
          return 1, attr
  
      rows = dict(
          (n, make_row(entry))
          for (n, entry) in enumerate(self._entries)
      )
  
      df = pd.DataFrame.from_dict(data=rows, orient="index")
      df = df.reindex(sorted(df.columns, key=sort_key), axis="columns")
      return df
  
imports: import logging
  from datetime import datetime
  from typing import Any, Dict, List, Optional, Union
  from neptune.exceptions import MetadataInconsistency
  from neptune.internal.backends.api_model import AttributeType, AttributeWithProperties, LeaderboardEntry
  from neptune.internal.backends.neptune_backend import NeptuneBackend
  from neptune.internal.container_type import ContainerType
  from neptune.internal.utils.paths import join_paths, parse_path
  from neptune.internal.utils.run_state import RunState
label_desc: Use image node_id 3 for calling the Table obj's underlying member method code with example usage: obj.to_pandas() and returns: df, None, row, int,  attr, RunState, _properties, _properties, None, None, str, _properties, _properties, _properties, int,  attr, int,  attr