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:

# 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))

Output:

Code #2:

# 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))

Output:

Code #3:

# 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))

Output: