Applying pow() function on to a Pandas DataFrame instance

Overview:

The built-in function pow() raises a Python numeric variable to a power exponent.
In the similar way, the pow() method of a pandas DataFame instance, raises its elements to a numeric power as given by the elements of another pandas DataFrame instance.

# Example Python program to raise a dataframe elements

# to the power exponent as defined by the elements of

# another dataframe

import pandas as pd

# Data 1

m1 = [(0, 1, 2),

(3, 4, 5),

(6, 7, 8)];

# Data 2

m2 = [(1, 1, 1),

(2, 2, 2),

(3, 3, 3)];

# Create pandas dataframe instances from lists of tuples

dataFrameInstance1 = pd.DataFrame(data=m1);

dataFrameInstance2 = pd.DataFrame(data=m2);

raised = dataFrameInstance1.pow(dataFrameInstance2);

# Print input data

print("Pandas DataFrame Instance1:");

print(dataFrameInstance1);

print("Pandas DataFrame Instance2:");

print(dataFrameInstance2);

# Print resultant data

print("Dataframe1 elements raised to the power of Dataframe2 elements: " );

print(raised);

Pandas DataFrame Instance1:

0 1 2

0 0 1 2

1 3 4 5

2 6 7 8

Pandas DataFrame Instance2:

0 1 2

0 1 1 1

1 2 2 2

2 3 3 3

Dataframe1 elements raised to the power of Dataframe2 elements:

0 1 2

0 0 1 2

1 9 16 25

2 216 343 512