Python | Pandas Series.abs()

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:

filter_none

edit
close

play_arrow

link
brightness_4
code

# 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())

chevron_right


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

filter_none

edit
close

play_arrow

link
brightness_4
code

# 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

chevron_right


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


My Personal Notes arrow_drop_up

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.