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NumPy: Test comparison operators

NumPy String: Exercise-14 with Solution

Write a NumPy program to test equal, not equal, greater equal, greater and less test of all the elements of two given arrays.

Sample Solution:-

Python Code:

import numpy as np
x1 = np.array(['Hello', 'PHP', 'JS', 'examples', 'html'], dtype=np.str)
x2 = np.array(['Hello', 'php', 'Java', 'examples', 'html'], dtype=np.str)
print("\nArray1:")
print(x1)
print("Array2:")
print(x2)
print("\nEqual test:")
r = np.char.equal(x1, x2)
print(r)
print("\nNot equal test:")
r = np.char.not_equal(x1, x2)
print(r)
print("\nLess equal test:")
r = np.char.less_equal(x1, x2)
print(r)
print("\nGreater equal test:")
r = np.char.greater_equal(x1, x2)
print(r)
print("\nLess test:")
r = np.char.less(x1, x2)
print(r)

Sample Input:

['Hello' 'PHP' 'JS' 'examples' 'html']

['Hello' 'php' 'Java' 'examples' 'html']

Sample Output:

Array1:
['Hello' 'PHP' 'JS' 'examples' 'html']
Array2:
['Hello' 'php' 'Java' 'examples' 'html']

Equal test:
[ True False False  True  True]

Not equal test:
[False  True  True False False]

Less equal test:
[ True  True  True  True  True]

Greater equal test:
[ True False False  True  True]

Less test:
[False  True  True False False]

Pictorial Presentation:

NumPy String: Test comparison operators

Python Code Editor:

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Previous: Write a NumPy program to replace "PHP" with "Python" in the element of a given array.
Next: Write a NumPy program to count the number of "P" in a given array, element-wise.

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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]]