Python | Pandas Series.rsub()
Last Updated :
07 Feb, 2019
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.rsub()
function return the subtraction of series and other, element-wise (binary operator rsub). It is equivalent to other - series
, but with support to substitute a fill_value for missing data in one of the inputs.
Syntax: Series.rsub(other, level=None, fill_value=None, axis=0)
Parameter :
other : Series or scalar value
fill_value : Fill existing missing (NaN) values
level : Broadcast across a level, matching Index values on the passed MultiIndex level
Returns : result : Series
Example #1: Use Series.rsub()
function to perform reverse subtraction of the given Series object with a scalar element-wise.
import pandas as pd
sr = pd.Series([ 100 , 25 , 32 , 118 , 24 , 65 ])
index_ = [ 'Coca Cola' , 'Sprite' , 'Coke' , 'Fanta' , 'Dew' , 'ThumbsUp' ]
sr.index = index_
print (sr)
|
Output :
Now we will use Series.rsub()
function to perform element-wise reverse subtraction of the given Series object with a scalar.
selected_items = sr.rsub(other = 1000 )
print (selected_items)
|
Output :
As we can see in the output, the Series.rsub()
function has successfully returned the reverse subtraction of the given Series object with the scalar.
Example #2 : Use Series.rsub()
function to perform reverse subtraction of the given Series object with a scalar element-wise. The given Series object also contains some missing values.
import pandas as pd
sr = pd.Series([ 19.5 , 16.8 , None , 22.78 , None , 20.124 , None , 18.1002 , None ])
print (sr)
|
Output :
Now we will use Series.rsub()
function to perform element-wise reverse subtraction of the given Series object with a scalar. We will also substitute 100 at the place of all the missing values in the given Series object.
selected_items = sr.rsub(other = 1000 , fill_value = 100 )
print (selected_items)
|
Output :
As we can see in the output, the Series.rsub()
function has successfully returned the reverse subtraction of the given Series object with the scalar.
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