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”.

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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(’_’)

or

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.

3 Likes

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

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

1 Like

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

1 Like

I’m finding a lot of this throughout the course. There’s a given example of how to do what they are asking you to do - except if you use their example to complete the lesson it’s invalid.

Aside from reading the error messages I would not guess “DO NOT USE WHAT WE ARE TEACHING YOU” to complete the lesson.
I get that it’s important to use your coding knowledge to figure out alternatives/better ways to code but when you’re learning something - especially on a platform where you have to enter semi specific code to progress - why would you not use the methods you are taught?

THIS!!! Came here to complain about the same thing. Two lessons in a row that teach you one thing and then just don’t accept the answer at all when you try it out. So frustrating

I wondered if we can skip the step 1 with the following code

students['first_name'] = students['full_name'].str_split.str.get(0)

students['last_name'] = students['full_name'].str_split.str.get(1)

It seems that doesn’t work though. I am not sure why… Someone knows why it doesn’t work?

After the data is split, why does the get(0) on the string return the last names and get(1) on the string return the first names?

name_split = students.full_name.str.split(" ")

students[‘first_name’] = name_split.str.get(0)

students[‘last_name’] = name_split.str.get(1)

Did you define “str_split”?

I believe this could be done with the following:

students[‘first_name’] = students.full_name.str.split(’ ‘).str.get(0)
students[‘last_name’] = students.full_name.str.split(’ ').str.get(1)

Question 1 asks us to make a “series object.” That was the missing link for me in understanding this exercise. The lesson taught us how to make an intermediate column to get the columns we need, but the question wants us to use a series object to do the same thing.

While question 1 is somewhat confusing, I think it is fair for them to ask this, as we have learned about series objects in this course.

Also, thanks for posting on this thread, your comments helped me a lot!

You are not telling it where to split the full_name (at the space) anywhere.