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Classe « Series »

Méthode pandas.Series.rmul

Signature de la méthode rmul

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

Description

help(Series.rmul)

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

See Also
--------
Series.mul : Element-wise Multiplication, 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.multiply(b, fill_value=0)
a    1.0
b    0.0
c    0.0
d    0.0
e    NaN
dtype: float64

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