code: def df_to_array(self, df, tech_indicator_list):
      unique_ticker = df.tic.unique()
      print(unique_ticker)
      if_first_time = True
      for tic in unique_ticker:
          if if_first_time:
              price_array = df[df.tic == tic][["close"]].values
              # price_ary = df[df.tic==tic]['close'].values
              tech_array = df[df.tic == tic][tech_indicator_list].values
              turbulence_array = df[df.tic == tic]["turbulence"].values
              if_first_time = False
          else:
              price_array = np.hstack(
                  [price_array, df[df.tic == tic][["close"]].values]
              )
              tech_array = np.hstack(
                  [
                      tech_array,
                      df[df.tic == tic][tech_indicator_list].values,
                  ]
              )
      print("Successfully transformed into array")
      return price_array, tech_array, turbulence_array
  
file_path: FinRL/finrl/meta/data_processors/processor_wrds.py
imports: from __future__ import annotations
  import datetime
  import exchange_calendars
  import numpy
  import pandas
  import pytz
  import wrds
  from stockstats import StockDataFrame
label_desc: Use image node_id 9 for calling the WrdsProcessor obj's underlying member method code with example usage: obj.df_to_array(df, tech_indicator_list) and returns: price_array,  tech_array,  turbulence_array