docstr: Returns the result as a pandas DataFrame.
  
  Returns:
      pandas.DataFrame: The result as a DataFrame.
  
  Raises:
      Exception: If no valid result is available with the current connection.
  
  Examples:
      >>> result = cursor.query("CREATE TABLE IF NOT EXISTS youtube_video_text AS SELECT SpeechRecognizer(audio) FROM youtube_video;").df()
      >>> result
      Empty DataFrame
      >>> relation = cursor.table("youtube_video_text").select('*').df()
          speechrecognizer.response
      0   "Sample Text from speech recognizer"
docstr_tok: ["Returns","the","result","as","a","pandas","DataFrame",".","Returns",":","pandas.DataFrame",":","The","result","as","a","DataFrame",".","Raises",":","Exception",":","If","no","valid","result","is","available","with","the","current","connection",".","Examples",":",">",">",">","result","=","cursor.query","(","``","CREATE","TABLE","IF","NOT","EXISTS","youtube_video_text","AS","SELECT","SpeechRecognizer","(","audio",")","FROM","youtube_video",";","''",")",".df","(",")",">",">",">","result","Empty","DataFrame",">",">",">","relation","=","cursor.table","(","``","youtube_video_text","''",")",".select","(","'","*","'",")",".df","(",")","speechrecognizer.response","0","``","Sample","Text","from","speech","recognizer","''"]
code: def df(self) -> pandas.DataFrame:
      """
      Returns the result as a pandas DataFrame.
  
      Returns:
          pandas.DataFrame: The result as a DataFrame.
  
      Raises:
          Exception: If no valid result is available with the current connection.
  
      Examples:
          >>> result = cursor.query("CREATE TABLE IF NOT EXISTS youtube_video_text AS SELECT SpeechRecognizer(audio) FROM youtube_video;").df()
          >>> result
          Empty DataFrame
          >>> relation = cursor.table("youtube_video_text").select('*').df()
              speechrecognizer.response
          0	"Sample Text from speech recognizer"
      """
      # This df is only used by `create_vector_index`. All other APIs use the `df()` in EvaDBQuery.
      if not self._result:
          raise Exception("No valid result with the current cursor")
      return self._result.frames
  
imports: import asyncio
  import multiprocessing
  import pandas
  from evadb.configuration.constants import EvaDB_DATABASE_DIR
  from evadb.database import EvaDBDatabase, init_evadb_instance
  from evadb.expression.tuple_value_expression import TupleValueExpression
  from evadb.functions.function_bootstrap_queries import init_builtin_functions
  from evadb.interfaces.relational.relation import EvaDBQuery
  from evadb.interfaces.relational.utils import try_binding
  from evadb.models.server.response import Response
  from evadb.models.storage.batch import Batch
  from evadb.parser.alias import Alias
  from evadb.parser.select_statement import SelectStatement
  from evadb.parser.utils import parse_create_function, parse_create_table, parse_create_vector_index, parse_drop_function, parse_drop_index, parse_drop_table, parse_explain, parse_insert, parse_load, parse_query, parse_rename, parse_show, parse_table_clause
  from evadb.server.command_handler import execute_statement
  from evadb.utils.generic_utils import find_nearest_word, is_ray_enabled_and_installed
  from evadb.utils.job_scheduler import JobScheduler
  from evadb.utils.logging_manager import logger
label_desc: Use image node_id 6 for calling the EvaDBCursor obj's underlying member method code with example usage: obj.df() and returns: self