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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-Numpy Code Editor:

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Python: Tips of the Day

Find current directory and file's directory:

To get the full path to the directory a Python file is contained in, write this in that file:

import os 
dir_path = os.path.dirname(os.path.realpath(__file__))

(Note that the incantation above won't work if you've already used os.chdir() to change your current working directory, since the value of the __file__ constant is relative to the current working directory and is not changed by an os.chdir() call.)

To get the current working directory use

import os
cwd = os.getcwd()

Documentation references for the modules, constants and functions used above:

  • The os and os.path modules.
  • The __file__ constant
  • os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
  • os.path.dirname(path) (returns "the directory name of pathname path")
  • os.getcwd() (returns "a string representing the current working directory")
  • os.chdir(path) ("change the current working directory to path")

Ref: https://bit.ly/3fy0R6m