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Pandas Series: rmul() function

Multiplication of Pandas series and other, element-wise

The rmul() function is used to get multiplication of series and other, element-wise (binary operator rmul).

Syntax:

Series.rmul(self, other, level=None, fill_value=None, axis=0)
Pandas Series rmul() function

Parameters:

Name Description Type/Default Value Required / Optional
other       Series or scalar value Required
fill_value  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 will be missing. None or float value
Default Value: None (NaN)
Required
level Broadcast across a level, matching Index values on the passed MultiIndex level. int or name Required

Returns: Series
The result of the operation.

Example:

Python-Pandas Code:

import numpy as np
import pandas as pd
x = pd.Series([1, 2, 1, np.nan], index=['p', 'q', 'r', 's'])
x

Output:

p    1.0
q    2.0
r    1.0
s    NaN
dtype: float64
Pandas Series rmul() function

Python-Pandas Code:

import numpy as np
import pandas as pd
y = pd.Series([2, np.nan, 2, np.nan], index=['p', 'q', 's', 't'])
y

Output:

p    2.0
q    NaN
s    2.0
t    NaN
dtype: float64
Pandas Series rmul() function

Python-Pandas Code:

import numpy as np
import pandas as pd
x = pd.Series([1, 2, 1, np.nan], index=['p', 'q', 'r', 's'])
y = pd.Series([2, np.nan, 2, np.nan], index=['p', 'q', 's', 't'])
x.rmul(y, fill_value=0)

Output:

p    2.0
q    0.0
r    0.0
s    0.0
t    NaN
dtype: float64

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Next: Floating division of Pandas series



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