Find the item with maximum occurrences in a list

Viewed 178438

In Python, I have a list:

L = [1, 2, 45, 55, 5, 4, 4, 4, 4, 4, 4, 5456, 56, 6, 7, 67]  

I want to identify the item that occurred the highest number of times. I am able to solve it but I need the fastest way to do so. I know there is a nice Pythonic answer to this.

14 Answers

If you're using Python 3.8 or above, you can use either statistics.mode() to return the first mode encountered or statistics.multimode() to return all the modes.

>>> import statistics
>>> data = [1, 2, 2, 3, 3, 4] 
>>> statistics.mode(data)
2
>>> statistics.multimode(data)
[2, 3]

If the list is empty, statistics.mode() throws a statistics.StatisticsError and statistics.multimode() returns an empty list.

Note before Python 3.8, statistics.mode() (introduced in 3.4) would additionally throw a statistics.StatisticsError if there is not exactly one most common value.

A simple way without any libraries or sets

def mcount(l):
  n = []                  #To store count of each elements
  for x in l:
      count = 0
      for i in range(len(l)):
          if x == l[i]:
              count+=1
      n.append(count)
  a = max(n)              #largest in counts list
  for i in range(len(n)):
      if n[i] == a:
          return(l[i],a)  #element,frequency
  return                  #if something goes wrong

Simple and best code:

def max_occ(lst,x):
    count=0
    for i in lst:
        if (i==x):
            count=count+1
    return count

lst=[1, 2, 45, 55, 5, 4, 4, 4, 4, 4, 4, 5456, 56, 6, 7, 67]
x=max(lst,key=lst.count)
print(x,"occurs ",max_occ(lst,x),"times")

Output: 4 occurs 6 times

if you are using numpy in your solution for faster computation use this:

import numpy as np
x = np.array([2,5,77,77,77,77,77,77,77,9,0,3,3,3,3,3])
y = np.bincount(x,minlength = max(x))
y = np.argmax(y)   
print(y)  #outputs 77

My (simply) code (three months studying Python):

def more_frequent_item(lst):
    new_lst = []
    times = 0
    for item in lst:
        count_num = lst.count(item)
        new_lst.append(count_num)
        times = max(new_lst)
    key = max(lst, key=lst.count)
    print("In the list: ")
    print(lst)
    print("The most frequent item is " + str(key) + ". Appears " + str(times) + " times in this list.")


more_frequent_item([1, 2, 45, 55, 5, 4, 4, 4, 4, 4, 4, 5456, 56, 6, 7, 67])

The output will be:

In the list: 
[1, 2, 45, 55, 5, 4, 4, 4, 4, 4, 4, 5456, 56, 6, 7, 67]
The most frequent item is 4. Appears 6 times in this list.

may something like this:

testList = [1, 2, 3, 4, 2, 2, 1, 4, 4] print(max(set(testList), key = testList.count))

Related