﻿ Python Pandas: Get the powers of an array values element-wise - w3resource # Python Pandas: Get the powers of an array values element-wise

## Python Pandas: DataFrame Exercise-1 with Solution

Write a Pandas program to get the powers of an array values element-wise.

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

Creates a dictionary with the same keys as the provided dictionary and values generated by running the provided function for each value

Example:

```def tips_map_values(obj, fn):
ret = {}
for key in obj.keys():
ret[key] = fn(obj[key])
return ret
users = {
'Owen': { 'user': 'Owen', 'age': 29 },
'Eddie': { 'user': 'Eddie', 'age': 15 }
}

print(tips_map_values(users, lambda u : u['age'])) # {'Owen': 29, 'Eddie': 15}
```

Output:

```{'Owen': 29, 'Eddie': 15}
```