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Python | Pandas Series.abs()
  • Difficulty Level : Easy
  • Last Updated : 10 Oct, 2018

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

Pandas Series.abs() method is used to get the absolute numeric value of each element in Series/DataFrame.

Syntax: Series.abs()

Parameters: No parameters

Returns: Return the Series or DataFrame containing the absolute value of each element.



Code #1:




# importing pandas module 
import pandas as pd 
  
# creating lists
lst = [2, -10.87, -3.14, 0.12]
lst2 = [-10.87 + 4j]
  
ser = pd.Series(lst)
ser1 = pd.Series(lst2)
  
# printing values explaining abs()
print(ser1.abs(), '\n\n', ser.abs())

Output:

0    11.582612
dtype: float64 

 0     2.00
1    10.87
2     3.14
3     0.12
dtype: float64

 
Code #2: Explaning use of abs() on specific row




# importing pandas module 
import pandas as pd 
  
df = pd.DataFrame({'Name': ['John', 'Hari', 'Peter', 'Loani'],
                  'Age': [31, 29, 57, 40],
                  'val': [98, 48, -80, -14]})
  
  
df['ope'] = (df.val - 87).abs()
  
df

Output:

Name    Age    val    ope
0    John    31    98    11
1    Hari    29    48    39
2    Peter    57    -80    167
3    Loani    40    -14    101

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