code: def df_to_array(self, df, if_vix) -> np.array:
      (
          price_array,
          tech_array,
          turbulence_array,
      ) = self.processor.df_to_array(
          df, self.tech_indicator_list, if_vix
      )
      # fill nan and inf values with 0 for technical indicators
      tech_nan_positions = np.isnan(tech_array)
      tech_array[tech_nan_positions] = 0
      tech_inf_positions = np.isinf(tech_array)
      tech_array[tech_inf_positions] = 0
  
      return price_array, tech_array, turbulence_array
  
file_path: FinRL/finrl/meta/data_processor.py
imports: from __future__ import annotations
  import numpy
  import pandas
  from finrl.meta.data_processors.processor_alpaca import AlpacaProcessor
  from finrl.meta.data_processors.processor_wrds import WrdsProcessor
  from finrl.meta.data_processors.processor_yahoofinance import YahooFinanceProcessor
label_desc: Use image node_id 10 for calling the DataProcessor obj's underlying member method code with example usage: obj.df_to_array(df, if_vix) and returns: price_array,  tech_array,  turbulence_array