Python | Pandas Series.rmul()

Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index.

Pandas Series.rmul() function perform the multiplication of series and other, element-wise (binary operator rmul). The operation is equivalent to other * series, but with support to substitute a fill_value for missing data in one of the inputs.

Syntax: Series.rmul(other, level=None, fill_value=None, axis=0)

Parameter :
other : Series or scalar value
fill_value : Fill existing missing (NaN) value
level : Broadcast across a level,

Returns : result : Series

Example #1: Use Series.rmul() function to perform the multiplication of a scalar with the given series object.

# importing pandas as pd
import pandas as pd

# Creating the Series
sr = pd.Series([10, 25, 3, 11, 24, 6])

# Create the Index
index_ = ['Coca Cola', 'Sprite', 'Coke', 'Fanta', 'Dew', 'ThumbsUp']

# set the index
sr.index = index_

# Print the series
print(sr)

Output :

Now we will use Series.rmul() function to perform the reverse multiplication of scalar with the series.

# multiply the given value with series
result = sr.rmul(2)

# Print the result
print(result)

Output :

As we can see in the output, the Series.rmul() function has returned the result of multiplication of the given scalar with the series object.

Example #2: Use Series.rmul() function to perform the multiplication of a scalar with the given series object. The given series object contains some missing values.

# importing pandas as pd
import pandas as pd

# Creating the Series
sr = pd.Series([19.5, 16.8, None, 22.78, None, 20.124, None, 18.1002, None])

# Print the series
print(sr)

Output :

Now we will use Series.rmul() function to perform the reverse multiplication of scalar with the series. We will also fill 10 at the place of all the missing values.

# multiply the given value with series
result = sr.rmul(2, fill_value = 10)

# Print the result
print(result)

Output :

As we can see in the output, the Series.rmul() function has returned the result of multiplication of the given scalar with the series object.