docstr: Concatenate existing DataFrame with new data.
  Args:
      existing_df: Existing DataFrame
      data: New data to be added to the DataFrame
  Returns:
      Concatenated DataFrame
docstr_tok: ["Concatenate","existing","DataFrame","with","new","data",".","Args",":","existing_df",":","Existing","DataFrame","data",":","New","data","to","be","added","to","the","DataFrame","Returns",":","Concatenated","DataFrame"]
code: def concat_dataframes(self, existing_df, data):
      """
      Concatenate existing DataFrame with new data.
      Args:
          existing_df: Existing DataFrame
          data: New data to be added to the DataFrame
      Returns:
          Concatenated DataFrame
      """
      return pd.concat(
          [existing_df, pd.DataFrame(data, columns=self.get_columns())],
          ignore_index=True,
      )
  
file_path: mindsdb/mindsdb/integrations/handlers/google_analytics_handler/google_analytics_tables.py
imports: import pandas
  from typing import List
  from google.analytics.admin_v1beta import ListConversionEventsRequest, ConversionEvent, CreateConversionEventRequest, UpdateConversionEventRequest, DeleteConversionEventRequest
  from mindsdb_sql import Constant
  from mindsdb_sql.parser import ast
  from mindsdb.integrations.libs.api_handler import APITable
  from mindsdb.integrations.utilities.sql_utils import extract_comparison_conditions
label_desc: Use image node_id 10 for calling the ConversionEventsTable obj's underlying member method code with example usage: obj.concat_dataframes(existing_df, data) and returns: pd