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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:

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

Python Code Editor:

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Previous: Write a NumPy program to capitalize the first letter, lowercase, uppercase, swapcase, title-case of all the elements of a given array.
Next: Write a NumPy program to insert a space between characters of all the elements of a given array.

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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]]