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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-Pandas Code Editor:

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Python: Tips of the Day

Inserting if statements using conditional list comprehensions:

x = [1, 2, 3, 4, 5, 6]
result = []
for idx in range(len(x)):
    if x[idx] % 2 == 0:
        result.append(x[idx] * 2)
    else:
        result.append(x[idx])
result

Output:

[1, 4, 3, 8, 5, 12]
[(element * 2 if element % 2 == 0 else element) for element in x]

Output:

[1, 4, 3, 8, 5, 12]
[element * 2 for element in x if element % 2 == 0]

Output:

[4, 8, 12]