pandas.Series.divmod#

Series.divmod(other, level=None, fill_value=None, axis=0)[source]#

Return Integer division and modulo of series and other, element-wise (binary operator divmod).

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

Parameters:

otherobject: When a Series is provided, will align on indexes. For all other types, will behave the same as // and % but with possibly different results due to the other arguments.
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:

2-Tuple of Series: The result of the operation.

See also

Series.rdivmod: Reverse of the Integer division and modulo 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.divmod(b, fill_value=0)
(a    1.0
 b    inf
 c    inf
 d    0.0
 e    NaN
 dtype: float64,
 a    0.0
 b    NaN
 c    NaN
 d    0.0
 e    NaN
 dtype: float64)