code: def texplode(f, c):
      r"""Get dummy values for a text column.
  
      Parameters
      ----------
      f : pandas.DataFrame
          Dataframe containing the column ``c``.
      c : str
          Name of the text column in the dataframe ``f``.
  
      Returns
      -------
      dummies : pandas.DataFrame
          The dataframe containing the dummy variables.
  
      Example
      -------
  
      This function is useful for columns that appear to
      have separate character codes but are consolidated
      into a single column. Here, the column ``c`` is
      transformed into five dummy variables.
  
      === === === === === ===
       c  0_a 1_x 1_b 2_x 2_z
      === === === === === ===
      abz   1   0   1   0   1
      abz   1   0   1   0   1
      axx   1   1   0   1   0
      abz   1   0   1   0   1
      axz   1   1   0   0   1
      === === === === === ===
  
      """
      fc = f[c]
      maxlen = fc.astype(str).str.len().max()
      fc.fillna(maxlen * BSEP, inplace=True)
      fpad = str().join(["{:", BSEP, ">", str(maxlen), "}"])
      fcpad = fc.apply(fpad.format)
      fcex = fcpad.apply(lambda x: pd.Series(list(x)))
      dummies = pd.get_dummies(fcex)
      return dummies
  
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 44 for calling a global function with example usage: texplode(f, c) and returns: dummies