code: def get_term_projection(self):
      if self.term_projection is None:
          # np.ndarray(self.category_counts.values) * self._get_x_y_projection()
          dim_term = np.matmul(
              self.category_counts.values, self._get_x_y_projection()
          )
      else:
          dim_term = self.term_projection
  
      df = pd.DataFrame(
          dim_term,
          index=self.category_corpus.get_terms(),
          columns=["x", "y"],
      )
      return df
  
imports: from abc import ABC, abstractmethod
  import pandas
  import numpy
  from scattertext.Scalers import stretch_neg1_to_1
label_desc: Use image node_id 9 for calling the CategoryProjectionBase obj's underlying member method code with example usage: obj.get_term_projection() and returns: df