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Pandas DataFrame: Get the powers of an array values element-wise

Pandas: DataFrame Exercise-1 with Solution

Write a Pandas program to get the powers of an array values element-wise.
Note: First array elements raised to powers from second array
Sample data: {'X':[78,85,96,80,86], 'Y':[84,94,89,83,86],'Z':[86,97,96,72,83]}

Sample Solution :

Python Code :

import pandas as pd
df = pd.DataFrame({'X':[78,85,96,80,86], 'Y':[84,94,89,83,86],'Z':[86,97,96,72,83]});
print(df)

Sample Output:

    X   Y   Z                                                          
0  78  84  86                                                          
1  85  94  97                                                          
2  96  89  96                                                          
3  80  83  72                                                          
4  86  86  83                                       

Python Code Editor:


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Python: Tips of the Day

Dictionary comprehension:

>>> m = {x: x ** 2 for x in range(5)}
>>> m
{0: 0, 1: 1, 2: 4, 3: 9, 4: 16}