docstr: Parameters
  ----------
  lexicon_df: pd.DataFrame, Indexed on terms, columns are scores for each category
  
  Other parameters from FeatsFromSpacyDoc.__init__
  
  Example:
  >>> print(lexicon_df)
               activation  imagery  pleasantness
  word
  a                1.3846      1.0        2.0000
  abandon          2.3750      2.4        1.0000
  abandoned        2.1000      3.0        1.1429
  abandonment      2.0000      1.4        1.0000
  abated           1.3333      1.2        1.6667
docstr_tok: ["Parameters","--","--","--","--","--","lexicon_df",":","pd.DataFrame",",","Indexed","on","terms",",","columns","are","scores","for","each","category","Other","parameters","from","FeatsFromSpacyDoc.__init__","Example",":",">",">",">","print","(","lexicon_df",")","activation","imagery","pleasantness","word","a","1.3846","1.0","2.0000","abandon","2.3750","2.4","1.0000","abandoned","2.1000","3.0","1.1429","abandonment","2.0000","1.4","1.0000","abated","1.3333","1.2","1.6667"]
code: def __init__(self, lexicon_df, use_lemmas=False, **kwargs):
      """
      Parameters
      ----------
      lexicon_df: pd.DataFrame, Indexed on terms, columns are scores for each category
  
      Other parameters from FeatsFromSpacyDoc.__init__
  
      Example:
      >>> print(lexicon_df)
                   activation  imagery  pleasantness
      word
      a                1.3846      1.0        2.0000
      abandon          2.3750      2.4        1.0000
      abandoned        2.1000      3.0        1.1429
      abandonment      2.0000      1.4        1.0000
      abated           1.3333      1.2        1.6667
      """
      assert type(lexicon_df) == pd.DataFrame
      self._lexicon_df = lexicon_df
      super(FeatsFromScoredLexicon, self).__init__(use_lemmas, **kwargs)
  
imports: import pandas
  from scattertext.features.FeatsFromSpacyDoc import FeatsFromSpacyDoc
label_desc: Use image node_id 1 to create a new FeatsFromScoredLexicon object from inherited base classes: FeatsFromSpacyDoc with example: obj = FeatsFromScoredLexicon(lexicon_df, use_lemmas)