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NumPy: Compute cross-correlation of two given arrays

NumPy Statistics: Exercise-9 with Solution

Write a NumPy program to compute cross-correlation of two given arrays.

Sample Solution:-

Python Code:

import numpy as np
x = np.array([0, 1, 3])
y = np.array([2, 4, 5])
print("\nOriginal array1:")
print(x)
print("\nOriginal array1:")
print(y)
print("\nCross-correlation of the said arrays:\n",np.cov(x, y))

Sample Output:

Original array1:
[0 1 3]

Original array1:
[2 4 5]

Cross-correlation of the said arrays:
 [[2.33333333 2.16666667]
 [2.16666667 2.33333333]]

Python Code Editor:

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Next: Write a NumPy program to compute pearson product-moment correlation coefficients of two given arrays.

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Python: Tips of the Day

Python: The Zip() Function

>>> students = ('John', 'Mary', 'Mike')
>>> ages = (15, 17, 16)
>>> scores = (90, 88, 82, 17, 14)
>>> for student, age, score in zip(students, ages, scores):
...     print(f'{student}, age: {age}, score: {score}')
... 
John, age: 15, score: 90
Mary, age: 17, score: 88
Mike, age: 16, score: 82
>>> zipped = zip(students, ages, scores)
>>> a, b, c = zip(*zipped)
>>> print(b)
(15, 17, 16)