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.multiply()
function perform the multiplication of series and other, element-wise. The operation is equivalent to series * other
, but with support to substitute a fill_value for missing data in one of the inputs.
Syntax: Series.multiply(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.multiply()
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.multiply()
function to perform the multiplication of scalar with the series.
# multiply the given value with series result = sr.multiply(other = 10 ) # Print the result print (result) |
Output :
As we can see in the output, the Series.multiply()
function has returned the result of multiplication of the given scalar with the series object.
Example #2: Use Series.multiply()
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.multiply()
function to perform the multiplication of scalar with the series.
# multiply the given value with series # fill 5 at the place of all the missing values result = sr.multiply(other = 10 , fill_value = 5 ) # Print the result print (result) |
Output :
As we can see in the output, the Series.multiply()
function has returned the result of multiplication of the given scalar with the series object.