code: def front(self, n):
          
          new_dtypes = (
              self._dtype_cache if self._dtype_cache is None else self._dtype_cache[:n]
          )
          # See head for an explanation of the transposed behavior
          if self._is_transposed:
              result = self.__constructor__(
                  self.data.transpose().take(0, n).transpose(),
                  self.index,
                  self.columns[:n],
                  new_dtypes,
              )
              result._is_transposed = True
          else:
              result = self.__constructor__(
                  self.data.take(1, n), self.index, self.columns[:n], new_dtypes
              )
          return result
docs: Returns the first n columns.
  
          Args:
              n: Integer containing the number of columns to return.
  
          Returns:
              DataManager containing the first n columns of the original DataManager.