docstr: Select data from the collected weather data and return it as a pandas DataFrame.
  
  Args:
      query (ast.Select): The SQL query to be executed.
  
  Returns:
      pandas.DataFrame: A pandas DataFrame containing the selected data.
docstr_tok: ["Select","data","from","the","collected","weather","data","and","return","it","as","a","pandas","DataFrame",".","Args",":","query","(","ast.Select",")",":","The","SQL","query","to","be","executed",".","Returns",":","pandas.DataFrame",":","A","pandas","DataFrame","containing","the","selected","data","."]
code: def select(self, query: ast.Select) -> pd.DataFrame:
      """Select data from the collected weather data and return it as a pandas DataFrame.
  
      Args:
          query (ast.Select): The SQL query to be executed.
  
      Returns:
          pandas.DataFrame: A pandas DataFrame containing the selected data.
      """
      conditions = extract_comparison_conditions(query.where)
  
      params = {}
      for op, arg1, arg2 in conditions:
          if arg1 in self.allowed_select_keys:
              if op == "=":
                  params[arg1] = arg2
              else:
                  raise NotImplementedError(
                      f"Operator for argument {arg1} is not supported: {op}"
                  )
  
      if "latitude" not in params or "longitude" not in params:
          raise ValueError("Latitude and longitude are required")
  
      result = self.handler.call_application_api(
          method_name=self.table_name, params=params
      )
  
      # Reparse the query and run through SELECTQueryExecutor
      query_parser = SELECTQueryParser(
          query, table=self.table_name, columns=self.get_columns()
      )
      (
          selected_columns,
          where_conditions,
          order_by_conditions,
          result_limit,
      ) = query_parser.parse_query()
  
      # Remove request parameters from where conditions
      where_conditions = [
          c
          for c in where_conditions
          if c[1] not in self.allowed_select_keys
      ]
  
      query_executor = SELECTQueryExecutor(
          result,
          selected_columns,
          where_conditions,
          order_by_conditions,
          result_limit,
      )
  
      return query_executor.execute_query()
  
imports: import os
  from collections import OrderedDict
  from typing import Any
  import pandas
  import requests
  from mindsdb_sql import parse_sql
  from mindsdb_sql.parser import ast
  from mindsdb.api.executor.data_types.response_type import RESPONSE_TYPE
  from mindsdb.integrations.handlers.utilities.query_utilities import SELECTQueryParser, SELECTQueryExecutor
  from mindsdb.integrations.libs.api_handler import APIHandler, APITable
  from mindsdb.integrations.libs.const import HANDLER_CONNECTION_ARG_TYPE
  from mindsdb.integrations.libs.response import HandlerResponse, HandlerStatusResponse
  from mindsdb.integrations.utilities.sql_utils import extract_comparison_conditions
  from mindsdb.utilities.config import Config
label_desc: Use image node_id 2 for calling the PirateWeatherAPIBaseTable obj's underlying member method code with example usage: obj.select(query) and returns: query_executor