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# pandas.Series.rmul

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

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

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

  Parameters:
    other object

      When a Series is provided, will align on indexes. For all other types, will behave the same as `*` but with possibly different results due to the other arguments.

    level int or name

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

    fill_value scalar or None, default None

      Fill NA values, whether present in the original data or introduced by alignment, with this value before computation. Positions where both inputs are NA are left unfilled and behave as NA does for the operation.

    axis{0 or ‘index’}

      Unused. Parameter needed for compatibility with DataFrame.

  Returns:
    Series

      The result of the operation.

  See also

  `Series.mul`

    Element-wise Multiplication, 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.rmul(b, fill_value=0)
      a    1.0
      b    0.0
      c    0.0
      d    0.0
      e    NaN
      dtype: float64