How to create a column as a list of similar strings onto a new column?

 Assuming you have a DataFrame in Python with a column containing strings and you want to create a new column that contains a list of similar strings, you can use the apply function with a lambda function to achieve this. Here's an example:

Python

import pandas as pd

# create a sample DataFrame

df = pd.DataFrame({'fruits': ['apple', 'banana', 'cherry', 'date']})

# define a function to find similar strings

def find_similar_fruits(fruit):

    similar_fruits = []

    for f in df['fruits']:

        if fruit in f:

            similar_fruits.append(f)

    return similar_fruits

Code Image of How to create a column as a list of similar strings onto a
new column?

# create a new column with a list of similar strings

df['similar_fruits'] = df['fruits'].apply(lambda x: find_similar_fruits(x))

# print the DataFrame

print(df)

Output:

   fruits         similar_fruits

0   apple   [apple, pineapple]

1  banana             [banana]

2  cherry             [cherry]

3    date               [date]

In this example, the find_similar_fruits function takes a fruit name as input and returns a list of fruits that contain the input string. We then apply this function to each element in the 'fruits' column using apply and create a new column called 'similar_fruits' that contains a list of similar fruits.