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Python | Pandas Panel.abs()

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  • Last Updated : 01 Jan, 2019

In Pandas, Panel is a very important container for three-dimensional data. The names for the 3 axes are intended to give some semantic meaning to describing operations involving panel data and, in particular, econometric analysis of panel data.

Panel.abs() function is used to return a Series/DataFrame with absolute numeric value of each element.

Syntax: Panel.abs()

Parameters: None

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

Code #1:




# importing pandas module 
import pandas as pd 
import numpy as np
  
df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks', 'real'], 
                    'b': [-11, +1.025, -114.48, 1333]})
                      
data = {'item1':df1, 'item2':df1}
  
# creating Panel 
panel = pd.Panel.from_dict(data, orient ='minor')
print(panel, "\n")
print(panel['b'], '\n')
  
print(panel['b'].abs())

Output:

 

Code #2:




# importing pandas module 
import pandas as pd 
import numpy as np
  
df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks'], 
                    'b': np.random.randn(3)})
                      
data = {'item1':df1, 'item2':df1}
  
# creating Panel 
panel = pd.Panel.from_dict(data, orient ='minor')
  
print(panel['b'])
  
  
df2 = pd.DataFrame({'b': [11, 12, 13]})
print(panel['b'].abs())

Output:


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