FAQ: Data Cleaning with Pandas - Splitting by Character

This community-built FAQ covers the “Splitting by Character” exercise from the lesson “Data Cleaning with Pandas”.

Paths and Courses
This exercise can be found in the following Codecademy content:

Practical Data Cleaning

FAQs on the exercise Splitting by Character

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I have a doubt:
What is the preferred method for managing the splits

df[‘str_split’] = df.type.str.split(’_’)


str_split = df.type.str.split(’_’)

because in the introduction to splits they use the first method but the exercise can only be validated with the second.

1 Like

Yes and also following line has to be
df[‘usertype’] = str_split.str.get(0)
df[‘country’] = str_split.str.get(1)

I think later option is more valid since it doesn’t make additional(useless) column.

What if a Student has 2 words in his last name separated by space ?