code: def mean(self, **kwargs):
          
          if self._is_transposed:
              kwargs["axis"] = kwargs.get("axis", 0) ^ 1
              return self.transpose().mean(**kwargs)
          # Pandas default is 0 (though not mentioned in docs)
          axis = kwargs.get("axis", 0)
          sums = self.sum(**kwargs)
          counts = self.count(axis=axis, numeric_only=kwargs.get("numeric_only", None))
          if sums._is_transposed and counts._is_transposed:
              sums = sums.transpose()
              counts = counts.transpose()
          result = sums.binary_op("truediv", counts, axis=axis)
          return result.transpose() if axis == 0 else result
docs: Returns the mean for each numerical column or row.
  
          Return:
              A new QueryCompiler object containing the mean from each numerical column or
              row.