word_count_pandas.py

## Import Pandas to make dataframe
import pandas as pd

## Import Regular Expression - Used to replace all special characters other than alphanumeric
import re

## Import Counter from collections
from datetime import datetime

## Input
giventext = "This is Medium article presented by ramstkp in the month of October. On the day of writing it was cold, and autumn started early this in the october month. October month is relatively less cold compared to winter months"

## Replacing all other characters other than alphanumerics
giventext = re.sub('[^a-zA-Z0-9 \n]', '', giventext)

## Converting to lower and splitting the text to list by word (split by space)
text_to_list = giventext.lower().split()

## Create dataframe and group by "word" and get largest 10 words with count
df = pd.DataFrame(text_to_list, columns=['word']).groupby("word")['word'].count().nlargest(10)

print(df)