text: import string
  
  import numpy as np
  from scattertext.CorpusFromParsedDocuments import CorpusFromParsedDocuments
  
  from scattertext.features.FeatsFromSpacyDoc import FeatsFromSpacyDoc
  
  
  class CorpusWithoutCategoriesFromParsedDocuments(object):
      def __init__(self,
                   df,
                   parsed_col,
                   feats_from_spacy_doc=FeatsFromSpacyDoc()):
  
          '''
          Parameters
          ----------
          df : pd.DataFrame
           contains category_col, and parse_col, were parsed col is entirely spacy docs
          parsed_col : str
              name of spacy parsed column in convention_df
          feats_from_spacy_doc : FeatsFromSpacyDoc
          '''
          self.df = df
          self.parsed_col = parsed_col
          self.feats_from_spacy_doc = feats_from_spacy_doc
  
      def build(self):
          '''
  
          :return: ParsedCorpus
          '''
          category_col = 'Category'
          while category_col in self.df:
              category_col = 'Category_' + ''.join(np.random.choice(string.ascii_letters) for _ in range(5))
          return CorpusFromParsedDocuments(
              self.df.assign(**{category_col: '_'}), category_col, self.parsed_col
          ).build()