original_docstring: 
          Add pseudocount first and then normalize to make sure that
          column sums are the same.
          
docstring: Add pseudocount first and then normalize to make sure that
  column sums are the same.
docstring_tokens: Add pseudocount first and then normalize to make sure that column sums are the same .
code: def _div_by(self, denominator_matrix, pseudocount) -> pd.DataFrame:
          """
          Add pseudocount first and then normalize to make sure that
          column sums are the same.
          """
          numerator_matrix_values = self.matrix_values() + pseudocount
          denominator_matrix_values = denominator_matrix.matrix_values() + pseudocount
          diff_matrix = numerator_matrix_values / denominator_matrix_values
          return pd.concat([self.hic_matrix_df[[
              "HiCMatrix", "Regions"]], diff_matrix],
                           axis=1, join_axes=[self.hic_matrix_df.index])
code_tokens: def _div_by ( self , denominator_matrix , pseudocount ) -> pd . DataFrame : numerator_matrix_values = self . matrix_values ( ) + pseudocount denominator_matrix_values = denominator_matrix . matrix_values ( ) + pseudocount diff_matrix = numerator_matrix_values / denominator_matrix_values return pd . concat ( [ self . hic_matrix_df [ [ "HiCMatrix" , "Regions" ] ] , diff_matrix ] , axis = 1 , join_axes = [ self . hic_matrix_df . index ] )
short_docstring: Add pseudocount first and then normalize to make sure that
  column sums are the same.
short_docstring_tokens: Add pseudocount first and then normalize to make sure that column sums are the same .
comment: """
          Add pseudocount first and then normalize to make sure that
          column sums are the same.
          """