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?
Suppose we have DataFrame
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
We can use
str to use standard string methods on a Pandas series.
df['col'] = df['col'].str.split(':').str
str.split() function will give us a list of strings.
[A, text1] [B, text2] [C, text3] [D, text4] [E, text5]
str 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.
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