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NumPy: Count number of occurrences of each value in a given array of non-negative integers

NumPy Statistics: Exercise-13 with Solution

Write a Python program to count number of occurrences of each value in a given array of non-negative integers.

Note: bincount() function count number of occurrences of each value in an array of non-negative integers in the range of the array between the minimum and maximum values including the values that did not occur.

Sample Solution:-

Python Code:

import numpy as np
array1 = [0, 1, 6, 1, 4, 1, 2, 2, 7] 
print("Original array:")
print(array1)
print("Number of occurrences of each value in array: ")
print(np.bincount(array1))

Sample Output:

Original array:
[0, 1, 6, 1, 4, 1, 2, 2, 7]
Number of occurrences of each value in array: 
[1 3 2 0 1 0 1 1]

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