Python | Pandas Panel.pow()

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.

In Pandas Panel.pow() function is used to get the exponential power of series and dataframe/Panel.

Syntax: Panel.pow(other, axis=0)

Parameters:
other : DataFrame or Panel
axis : Axis to broadcast over

Returns: Panel

Code #1:

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# importing pandas module 
import pandas as pd 
import numpy as np 
  
df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks', 'real'], 
                    'b': [111, 123, 425, 1333]}) 
  
df2 = pd.DataFrame({'a': ['I', 'am', 'dataframe', 'two'], 
                    'b': [2, 3, 2, 2]}) 
                      
data = {'item1':df1, 'item2':df2}
  
# creating Panel 
panel = pd.Panel.from_dict(data, orient ='minor'
print("panel['b'] is - \n\n", panel['b']) 
  
print("\nExponential power of panel['b']['item1'] with df2['b'] using pow() method - \n"
print("\n", panel['b']['item1'].pow(df2['b'], axis = 0)) 

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Output:

 
Code #2:

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# importing pandas module 
import pandas as pd 
import numpy as np 
  
df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks', 'for', 'real'], 
                    'b': [11, 1.025, 333, 114.48, 1333]}) 
  
data = {'item1':df1, 'item2':df1} 
  
# creating Panel 
panel = pd.Panel.from_dict(data, orient ='minor'
print("panel['b'] is - \n\n", panel['b'], '\n'
  
# Create a 5 * 5 dataframe 
df2 = pd.DataFrame(np.random.rand(5, 2), columns =['item1', 'item2']) 
print("Newly create dataframe with random values is - \n\n", df2)
  
print("\nExponential power of panel['b'] with df2 using pow() method - \n"
print(panel['b'].pow(df2, axis = 0)) 

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Output:

 

Code #3:

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# importing pandas module 
import pandas as pd 
import numpy as np 
  
df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks', 'for', 'real'], 
                    'b': [2, 4, 6, 6, 10]}) 
                      
df2 = pd.DataFrame({'a': ['I', 'am', 'DataFrame', 'number', 'two'], 
                    'b': [10, 5, 3, 6, 7]})                     
                      
data = {'item1':df1, 'item2':df2} 
  
# creating Panel 
panel = pd.Panel.from_dict(data, orient ='minor'
  
print("panel['b'] is - \n\n", panel['b'], '\n'
  
print("\nExponential power of panel['b']['item1'] with df2['b'] or panel['b']['item2'] using pow() method - \n"
print("\n", panel['b']['item1'].pow(df2['b'], axis = 0)) 

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Output:

 



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