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_valuescalar 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:

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)