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# pandas.DataFrame.rmod

`DataFrame.``rmod`(other, axis='columns', level=None, fill_value=None)

  Binary operator rmod with support to substitute a fill_value for missing data in one of the inputs

  Parameters : | other : Series, DataFrame, or constant axis : {0, 1, ‘index’, ‘columns’} For Series input, axis to match Series index on fill_value : None or float value, default None Fill missing (NaN) values with this value. If both DataFrame locations are missing, the result will be missing level : int or name Broadcast across a level, matching Index values on the passed MultiIndex level
  Returns : | result : DataFrame

  Notes

  Mismatched indices will be unioned together

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