pandas.Series.multiply documentation examples correction

[rneubig]

Code Sample, a copy-pastable example if possible

Series.multiply(other, level=None, fill_value=None, axis=0)

Multiplication of series and other, element-wise (binary operator mul).

...

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

# Your code here

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

Problem description

[Example in pandas.Series.multiply Examples demonstrates the wrong function (add). Update to show multiply function as suggested above.]

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Expected Output

Output of pd.show_versions()

[paste the output of pd.show_versions() here below this line]

[WillAyd]

Makes sense - PRs are always welcome