class_docstr: Executes a SELECT query.
  
  Parameters
  ----------
  df : pd.DataFrame
      Dataframe to query.
  selected_columns : List[Text]
      List of columns to select.
  where_conditions : List[List[Text]]
      List of where conditions.
  order_by_conditions : Dict[Text, List[Text]]
      Dictionary of order by conditions.
  result_limit : int
      Number of results to return.
class_docstr_tok: ["Executes","a","SELECT","query",".","Parameters","--","--","--","--","--","df",":","pd.DataFrame","Dataframe","to","query",".","selected_columns",":","List","[","Text","]","List","of","columns","to","select",".","where_conditions",":","List","[","List","[","Text","]","]","List","of","where","conditions",".","order_by_conditions",":","Dict","[","Text",",","List","[","Text","]","]","Dictionary","of","order","by","conditions",".","result_limit",":","int","Number","of","results","to","return","."]
docstr: Execute the limit clause of the query.
docstr_tok: ["Execute","the","limit","clause","of","the","query","."]
code: def execute_limit_clause(self):
      """
      Execute the limit clause of the query.
      """
      if self.result_limit:
          self.df = self.df.head(self.result_limit)
  
imports: import pandas
  from mindsdb_sql.parser import ast
  from typing import Text, List, Dict, Tuple
  from mindsdb_sql.parser import ast
  from mindsdb.integrations.utilities.sql_utils import sort_dataframe
  from mindsdb.integrations.handlers.utilities.query_utilities.base_query_utilities import BaseQueryParser
  from mindsdb.integrations.handlers.utilities.query_utilities.base_query_utilities import BaseQueryExecutor
label_desc: Use image node_id 5 for calling the SELECTQueryExecutor obj's underlying member method code with example usage: obj.execute_limit_clause() without return types