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# pandas.Series.add

Series.add(other, level=None, fill_value=None, axis=0)

  Return Addition of series and other, element-wise (binary operator add).

  Equivalent to `series + other`, but with support to substitute a fill_value for missing data in either one of the inputs.

  Parameters:
    otherSeries or scalar value
    levelint or name

      Broadcast across a level, matching Index values on the passed MultiIndex level.

    fill_valueNone or float value, default None (NaN)

      Fill existing missing (NaN) values, and any new element needed for successful Series alignment, with this value before computation. If data in both corresponding Series locations is missing the result of filling (at that location) will be missing.

    axis{0 or ‘index’}

      Unused. Parameter needed for compatibility with DataFrame.

  Returns:
    Series

      The result of the operation.

  See also

  `Series.radd`

    Reverse of the Addition operator, see Python documentation for more details.

  Examples

      >>> a = pd.Series([1, 1, 1, np.nan], index=['a', 'b', 'c', 'd'])
      >>> a
      a    1.0
      b    1.0
      c    1.0
      d    NaN
      dtype: float64
      >>> b = pd.Series([1, np.nan, 1, np.nan], index=['a', 'b', 'd', 'e'])
      >>> b
      a    1.0
      b    NaN
      d    1.0
      e    NaN
      dtype: float64
      >>> a.add(b, fill_value=0)
      a    2.0
      b    1.0
      c    1.0
      d    1.0
      e    NaN
      dtype: float64