 # Python | Find the most common item in each column in a 2D list

Examples :

`  Input:  [[1, 1, 3], [2, 3, 3], [3, 2, 2], [2, 1, 3]]  Output:  [2, 1, 3]  Input:  [[`y`,` y`], [`y `,` x`], [`x`,` x`]]  Output:  [`y`,` x`] `

Method # 1: Using most_common () from the collections

most_common () module returns a list from n the most common elements and their number from the most common to the smallest. This way we can easily find the most common elements in each column using a list comprehension.

 ` # Python3 program to find the most common ` ` # item in every column in the 2D list ` ` from ` ` collections ` ` import ` ` Counter `   ` def ` ` mostCommon (lst): `   ` ` ` return ` ` [Counter (col) .most_common (` ` 1 ` `) [` ` 0 ` `] [` ` 0 ` `] ` ` for ` ` col ` ` in ` ` zip ` ` (` ` * ` ` lst)] `   ` # Driver code ` ` lst ` ` = ` ` [[` ` 1 ` `, ` ` 1 ` `, ` ` 3 ` `], ` ` [` ` 2 ` `, ` ` 3 ` `, ` ` 3 ` `], ` `  [ 3 , 2 , 2 ], ```` [ 2 , 1 , 3 ]] print (mostCommon (lst)) ```

Exit:

``` [2, 1, 3]    Method # 3:  Using  mode ()  from  statistics module         ` # Python3 program for finding common ones `  ` # item in every column in 2D list `   ` from ` ` scipy.stats ` ` import `  mode   ` import ` ` numpy as np `      ` def ` ` mostCommon (lst): `       ` val, count ` ` = ` ` mode (lst, axis ` ` =   0  ) ``    return   val.ravel (). tolist ()       # Driver code     lst   =   [[  1  ,   1  ,   3  ],     [  2  ,   3  ,   3  ],     [  3  ,   2  ,   2  ],      [  2  ,   1  ,   3  ]]     print   (mostCommon (lst)) `     Exit:  [2, 1, 3]

```