code: def extract_time(f, c):
      r"""Extract time into its components: hour, minute, second.
  
      Parameters
      ----------
      f : pandas.DataFrame
          Dataframe containing the time column ``c``.
      c : str
          Name of the time column in the dataframe ``f``.
  
      Returns
      -------
      time_features : pandas.DataFrame
          The dataframe containing the time features.
      """
  
      fc = pd.to_datetime(f[c])
      time_features = pd.DataFrame()
      try:
          fhour = pd.Series(fc.dt.hour, name="year")
          fminute = pd.Series(fc.dt.minute, name="month")
          fsecond = pd.Series(fc.dt.second, name="day")
          frames = [fhour, fminute, fsecond]
          time_features = pd.concat(frames, axis=1)
      except:
          logger.info(
              "Could not extract time information from %s column", c
          )
      return time_features
  
imports: from alphapy.calendrical import biz_day_month
  from alphapy.calendrical import biz_day_week
  from alphapy.globals import NULLTEXT
  from alphapy.globals import BSEP, PSEP, USEP
  from alphapy.variables import vexec
  import itertools
  import logging
  import math
  import numpy
  import pandas
label_desc: Use image node_id 16 for calling a global function with example usage: extract_time(f, c) and returns: time_features