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# pandas.Series.mul

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

  Return Multiplication of series and other, element-wise (binary operator mul).

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

  Parameters:
    other Series or scalar value

      With which to compute the multiplication.

    level int or name

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

    fill_value None 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.rmul`

    Reverse of the Multiplication 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.multiply(b, fill_value=0)
      a    1.0
      b    0.0
      c    0.0
      d    0.0
      e    NaN
      dtype: float64
      >>> a.mul(5, fill_value=0)
      a    5.0
      b    5.0
      c    5.0
      d    0.0
      dtype: float64