JS Problems geeksforgeeks Exercises and Solutions for Beginners

How to Remove Everything After a Delimiter in a Pandas Column String [All Method]️

It’s also a question How to Remove Everything After a Delimiter in a Pandas Column String? By following this guide, you will be able to deal with these sorts of difficulties.
Question: What is the best way to approach this problem? Answer: Check out this blog code to learn how to fix errors How to Remove Everything After a Delimiter in a Pandas Column String. Question: What are the reasons for this code mistake and how can it be fixed? Answer: You can find a solution by following the advice in this blog.

How can we remove everything after a delimiter in a string of a Pandas DataFrame column?

Example scenario

Suppose we have DataFrame df:

         col
0    A:text1
1    B:text2
2    C:text3
3    D:text4
4    E:text5

We want to modify DataFrame to contain the column col with these values:

   col
0    A
1    B
2    C
3    D
4    E

Remove delimiter using split and str

We can use str to use standard string methods on a Pandas series.

df['col'] = df['col'].str.split(':').str[0]

The str.split() function will give us a list of strings.

[A, text1]
[B, text2]
[C, text3]
[D, text4]
[E, text5]

The str[0] will allow us to grab the first element of the list.

The assignment operator will allow us to update the existing column.


Revise the code and make it more robust with proper test case and check an error there before implementing into a production environment.
If you need help at any point, please send me a message and I will do my best to assist you.

Related Articles

Leave a Reply

Your email address will not be published.

Back to top button