original_docstring: Needed as the sums are not completely identical and some row sums
          are 0. Assumption: input is an iced matrix.
          
docstring: Needed as the sums are not completely identical and some row sums
  are 0. Assumption: input is an iced matrix.
docstring_tokens: Needed as the sums are not completely identical and some row sums are 0 . Assumption : input is an iced matrix .
code: def _calc_column_sum_median(self):
          """Needed as the sums are not completely identical and some row sums
          are 0. Assumption: input is an iced matrix.
          """
          return np.median([
              self.hic_matrix_df[col].sum()
              for col in self.hic_matrix_df.columns[2:]])
code_tokens: def _calc_column_sum_median ( self ) : return np . median ( [ self . hic_matrix_df [ col ] . sum ( ) for col in self . hic_matrix_df . columns [ 2 : ] ] )
short_docstring: Needed as the sums are not completely identical and some row sums
  are 0.
short_docstring_tokens: Needed as the sums are not completely identical and some row sums are 0 .
comment: """Needed as the sums are not completely identical and some row sums
          are 0. Assumption: input is an iced matrix.
          """