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Classe « Series »

Méthode pandas.Series.rdivmod

Signature de la méthode rdivmod

def rdivmod(self, other, level=None, fill_value=None, axis: 'Axis' = 0) -> 'Series' 

Description

help(Series.rdivmod)

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

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

Parameters
----------
other : Series or scalar value
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
-------
2-Tuple of Series
    The result of the operation.

See Also
--------
Series.divmod : Element-wise Integer division and modulo, see
    `Python documentation
    <https://docs.python.org/3/reference/datamodel.html#emulating-numeric-types>`_
    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)

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