Find the most frequent value in a NumPy array
Last Updated :
15 Jul, 2025
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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:
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())
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
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=" ")
Output:
1 3
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