code: def transform_dataframe(
      self, dataframe: pd.DataFrame
  ) -> pd.DataFrame:
      processed_df = super().transform_dataframe(dataframe)
      # Train/Test split like https://www.kaggle.com/competitions/1056lab-fraud-detection-in-credit-card/overview
      processed_df = processed_df.sort_values(by=["Time"])
      processed_df.loc[:198365, "split"] = 0
      processed_df.loc[198365:, "split"] = 2
      processed_df.split = processed_df.split.astype(int)
      return processed_df
  
imports: import pandas
  from ludwig.datasets.loaders.dataset_loader import DatasetLoader
label_desc: Use image node_id 1 for calling the CreditCardFraudLoader obj's underlying member method code with example usage: obj.transform_dataframe(dataframe) and returns: processed_df