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NumPy: Find the most frequent value in an array

NumPy: Random Exercise-13 with Solution

Write a NumPy program to find the most frequent value in an array.

Sample Solution:

Python Code:

import numpy as np
x = np.random.randint(0, 10, 40)
print("Original array:")
print(x)
print("Most frequent value in the above array:")
print(np.bincount(x).argmax())

Sample Output:

Original array:                                                        
[4 7 3 8 4 8 6 3 1 8 6 3 3 9 7 8 3 3 0 6 8 3 1 8 2 2 9 7 8 9 8 5 9 6 8 
5 3                                                                    
 8 9 1]                                                                
Most frequent value in the above array:                                
8

Pictorial Presentation:

NumPy Random: Find the most frequent value in an array.

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