code: def reindex(self, axis, labels, **kwargs):
          
  
          # To reindex, we need a function that will be shipped to each of the
          # partitions.
          def reindex_builer(df, axis, old_labels, new_labels, **kwargs):
              if axis:
                  while len(df.columns) < len(old_labels):
                      df[len(df.columns)] = np.nan
                  df.columns = old_labels
                  new_df = df.reindex(columns=new_labels, **kwargs)
                  # reset the internal columns back to a RangeIndex
                  new_df.columns = pandas.RangeIndex(len(new_df.columns))
                  return new_df
              else:
                  while len(df.index) < len(old_labels):
                      df.loc[len(df.index)] = np.nan
                  df.index = old_labels
                  new_df = df.reindex(index=new_labels, **kwargs)
                  # reset the internal index back to a RangeIndex
                  new_df.reset_index(inplace=True, drop=True)
                  return new_df
  
          old_labels = self.columns if axis else self.index
          new_index = self.index if axis else labels
          new_columns = labels if axis else self.columns
          func = self._prepare_method(
              lambda df: reindex_builer(df, axis, old_labels, labels, **kwargs)
          )
          # The reindex can just be mapped over the axis we are modifying. This
          # is for simplicity in implementation. We specify num_splits here
          # because if we are repartitioning we should (in the future).
          # Additionally this operation is often followed by an operation that
          # assumes identical partitioning. Internally, we *may* change the
          # partitioning during a map across a full axis.
          new_data = self._map_across_full_axis(axis, func)
          return self.__constructor__(new_data, new_index, new_columns)
docs: Fits a new index for this Manger.
  
          Args:
              axis: The axis index object to target the reindex on.
              labels: New labels to conform 'axis' on to.
  
          Returns:
              A new QueryCompiler with updated data and new index.