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NumPy: Compute the weighted of a given array

NumPy Statistics: Exercise-6 with Solution

Write a NumPy program to compute the weighted of a given array.

Sample Solution:-

Python Code:

import numpy as np
x = np.arange(5)
print("\nOriginal array:")
print(x)
weights = np.arange(1, 6)
r1 = np.average(x, weights=weights)
r2 = (x*(weights/weights.sum())).sum()
assert np.allclose(r1, r2)
print("\nWeighted average of the said array:")
print(r1)

Sample Output:

Original array:
[0 1 2 3 4]

Weighted average of the said array:
2.6666666666666665

Python Code Editor:

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Previous: Write a NumPy program to compute the median of flattened given array.
Next: Write a NumPy program to compute the mean, standard deviation, and variance of a given array along the second axis.

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Python: Tips of the Day

Chain Operators

You can chain comparison operators in Python as following: n = 10 result = 1 < n < 20

distance = 200
checker = 100 < distance < 350

print(checker)

Output:

True