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Finding the most frequent value in a NumPy array
schedule Aug 12, 2023
Last updated local_offer
Tags Python●NumPy
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To find the most frequent value in a NumPy array we can use the bincount(~) method together with argmax(~).
Example
Consider the following array:
array([1, 2, 2, 2, 3, 3])
To find the most frequent value:
2
Note here that:
bincounts(~)returns an array with the number of occurrences of each number in the range 0 ~ largest number in the arrayargmax(~)then allows us to find the index position of the value with the most occurrences as counted bybincount(~), which is just the most frequent number itself
WARNING
This method will only work when we are dealing with an array containing non-negative integers as bincounts(~) will raise a ValueError if it encounters negative values.
Published by Arthur Yanagisawa
Edited by 0 others
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