docstr: 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
docstr_tok: ["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"]
code: 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
  
file_path: scattertext/scattertext/CorpusWithoutCategoriesFromParsedDocuments.py
imports: import string
  import numpy
  from scattertext.CorpusFromParsedDocuments import CorpusFromParsedDocuments
  from scattertext.features.FeatsFromSpacyDoc import FeatsFromSpacyDoc
label_desc: Use image node_id 1 to create a new CorpusWithoutCategoriesFromParsedDocuments object from inherited base classes: object with example: obj = CorpusWithoutCategoriesFromParsedDocuments(df, parsed_col, feats_from_spacy_doc)