Data sanitization

Problem Statement

The company ABC is into social media analytics. It wants to analyse the feed from twitter. For that it needs to clean the data.

Write a function that keeps only the alphabets and spaces, and removes all other characters from the given string.

Input

The first line of input is a string: text, representing the data from social media feed.

Output

Print the cleaned string.

As is

The boilerplate code is already there to read the inputs from user, in the main() function, and to print the value returned by the cleanString() function. Do not edit this code.

To do ✍

cleanString() has one parameter: text. Write code inside the function body to remove the characters other than alphabets and spaces, and return the cleaned text.

Example 1

Test input

This is 0 sample, paragr..aph.

Test output

This is  sample paragraph

Explanation

Since we need to keep only the alphabets, and whitespace characters, rest all characters are replaced with an empty string.

Useful References

• Python re.sub() – Replace using Regular Expression

import re

# Complete the following function
def cleanString(text):




# Boilerplate code - Do not edit the following
def main():
    text = input()
    print(cleanString(text))

if __name__ == "__main__":
    main()

Apple is red. *#fruit 41 supply

Apple is red fruit  supply

hell23o worl01

hello worl

This is 0 sample, paragr..aph.

This is  sample paragraph

import re

# Complete the following function
def cleanString(text):
    cleaned_text = re.sub(r'[^a-zA-Z\s]', '', text)
    return cleaned_text

# Boilerplate code - Do not edit the following
def main():
    text = input()
    print(cleanString(text))

if __name__ == "__main__":
    main()