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Find the most frequent value in a NumPy array
  • Last Updated : 29 Aug, 2020

In this article, let’s discuss how to find the most frequent value in the NumPy array. 

Steps to find the most frequency value in a NumPy array:

  • Create a NumPy array.
  • Apply bincount() method of NumPy to get the count of occurrences of each element in the array.
  • The n, apply argmax() method to get the value having a maximum number of occurrences(frequency).

Example 1:

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import numpy as np
  
  
# create array
x = np.array([1,2,3,4,5,1,2,1,1,1])
print("Original array:")
print(x)
  
print("Most frequent value in the above array:")
print(np.bincount(x).argmax())

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Output:

1

This code will generate a single output only, it will not work fine if the array contains more than one element having the maximum number of frequency.

Example 2: If the array has more than one element having maximum frequency

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import numpy as np
  
  
x = np.array([1, 1, 1, 2, 3, 4, 2, 4, 3, 3, ])
print("Original array:")
print(x)
  
print("Most frequent value in above array")
y = np.bincount(x)
maximum = max(y)
  
for i in range(len(y)):
    if y[i] == maximum:
        print(i, end=" ")

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Output:

1 3

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