﻿ NumPy: Make the length of each element 15 of a given array and the string centered / left-justified / right-justified with paddings of _ - w3resource # NumPy: Make the length of each element 15 of a given array and the string centered / left-justified / right-justified with paddings of _

## NumPy String: Exercise-4 with Solution

Write a NumPy program to make the length of each element 15 of a given array and the string centered / left-justified / right-justified with paddings of _.

Sample Solution:-

Python Code:

``````import numpy as np
x = np.array(['python exercises', 'PHP', 'java', 'C++'], dtype=np.str)
print("Original Array:")
print(x)
centered = np.char.center(x, 15, fillchar='_')
left = np.char.ljust(x, 15, fillchar='_')
right = np.char.rjust(x, 15, fillchar='_')
print("\nCentered =", centered)
print("Left =", left)
print("Right =", right)
```
```

Sample Input:

```(['python exercises', 'PHP', 'java', 'C++'], dtype=np.str)
```

Sample Output:

```Original Array:
['python exercises' 'PHP' 'java' 'C++']

Centered = ['python exercise' '______PHP______' '______java_____' '______C++______']
Left = ['python exercise' 'PHP____________' 'java___________' 'C++____________']
Right = ['python exercise' '____________PHP' '___________java' '____________C++']
```

Pictorial Presentation: Python Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

What is the difficulty level of this exercise?

Test your Python skills with w3resource's quiz

﻿

## Python: Tips of the Day

Merges two or more lists into a list of lists, combining elements from each of the input lists based on their positions

Example:

```def tips_merge(*args, fill_value=None):
max_length = max([len(lst) for lst in args])
result = []
for i in range(max_length):
result.append([
args[k][i] if i < len(args[k])
else fill_value for k in range(len(args))
])
return result
print(tips_merge(['x', 'y'], [1, 2], [True, False]))
print(tips_merge(['x'], [1, 2], [True, False]))
print(tips_merge(['x'], [1, 2], [True, False], fill_value = '_'))
```

Output:

```[['x', 1, True], ['y', 2, False]]
[['x', 1, True], [None, 2, False]]
[['x', 1, True], ['_', 2, False]]
```