Applying the counter from collection to a column in a dataframe-CodePudding

I have a column of strings, where each row is a list of strings. I want to count the elements of the column in its entirety and not just the rows which one gets with the value.counts() in pandas. I want to apply the Counter() from the Collections module, but that runs only on a list. My column in the DataFrame looks like this:

[['FollowFriday', 'Awesome'],
 ['Covid_19', 'corona', 'Notagain'],
 ['Awesome'],
 ['FollowFriday', 'Awesome'],
 [],
 ['corona', Notagain],
....]

I want to get the counts, such as

[('FollowFriday', 2),
 ('Awesome', 3),
 ('Corona', 2),
 ('Covid19'),
 ('Notagain', 2),
 .....]

The basic command that I am using is:

from collection import Counter
Counter(df['column'])

from collections import Counter
Counter(" ".join(df['column']).split()).most_common()

Any help would be greatly appreciated!

CodePudding user response：

IIUC, your comparison to pandas was only to explain your goal and you want to work with lists?

You can use:

l = [['FollowFriday', 'Awesome'],
     ['Covid_19', 'corona', 'Notagain'],
     ['Awesome'],
     ['FollowFriday', 'Awesome'],
     [],
     ['corona', 'Notagain'],
    ]

from collections import Counter
from itertools import chain

out = Counter(chain.from_iterable(l))

or if you have a Series of lists, use explode:

out = Counter(df['column'].explode())
# OR
out = df['column'].explode().value_counts()

output:

Counter({'FollowFriday': 2,
         'Awesome': 3,
         'Covid_19': 1,
         'corona': 2,
         'Notagain': 2})