Find the most frequent value in a NumPy array
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:
Python3
import numpy as np # create arrayx = 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
Python3
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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