pandas.Series.rdiv¶
-
Series.
rdiv
(other, level=None, fill_value=None, axis=0)[source]¶ Floating division of series and other, element-wise (binary operator rtruediv).
Equivalent to
other / series
, but with support to substitute a fill_value for missing data in one of the inputs.Parameters: - other : Series or scalar value
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 will be missing
level : int or name
Broadcast across a level, matching Index values on the passed MultiIndex level
Returns: - result : Series
See also
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