class_docstr: Creates plots for Automated Exploratory Data Analysis.
class_docstr_tok: ["Creates","plots","for","Automated","Exploratory","Data","Analysis","."]
docstr: Prepare the column to be used as file name.
docstr_tok: ["Prepare","the","column","to","be","used","as","file","name","."]
code: def prepare(column):
      """Prepare the column to be used as file name."""
      valid_chars = "-_.() %s%s" % (string.ascii_letters, string.digits)
      valid_chars = frozenset(valid_chars)
      col = "".join(c for c in column if c in valid_chars)
      if not len(col):
          col = base64.urlsafe_b64encode(column.encode("utf-8"))
          col = col.decode("utf-8")
      return col.replace(" ", "_")
  
imports: import logging
  import os
  import re
  import warnings
  from collections import defaultdict
  import matplotlib.pyplot
  import numpy
  import pandas
  import seaborn
  from wordcloud import STOPWORDS, WordCloud
  from supervised.exceptions import AutoMLException
  from supervised.preprocessing.preprocessing_utils import PreprocessingUtils
  from supervised.utils.config import LOG_LEVEL
  import base64
  import string
label_desc: Use image node_id 1 for calling the EDA obj's underlying member method code with example usage: obj.prepare(column) and returns: col