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Snowflake Exam DSA-C02 Topic 4 Question 26 Discussion

Actual exam question for Snowflake's DSA-C02 exam
Question #: 26
Topic #: 4
[All DSA-C02 Questions]

Which Python method can be used to Remove duplicates by Data scientist?

Show Suggested Answer Hide Answer
Suggested Answer: D

The drop_duplicates() method removes duplicate rows.

dataframe.drop_duplicates(subset, keep, inplace, ignore_index)

Remove duplicate rows from the DataFrame:

1. import pandas as pd

2. data = {

3. 'name': ['Peter', 'Mary', 'John', 'Mary'],

4. 'age': [50, 40, 30, 40],

5. 'qualified': [True, False, False, False]

6. }

7.

8. df = pd.DataFrame(data)

9. newdf = df.drop_duplicates()


Contribute your Thoughts:

Emelda
3 months ago
I'm picturing a data scientist yelling 'C) drop_duplicates()!' while sipping their coffee and staring at a screen full of data. It's the obvious choice.
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Bulah
1 months ago
It's so satisfying to see those duplicates disappear with just one line of code.
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Kirby
2 months ago
I always use drop_duplicates() to clean up my data.
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Fannie
2 months ago
I agree, it's a common method used by data scientists.
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Dolores
3 months ago
C) drop_duplicates() is definitely the way to go.
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Vincent
3 months ago
C) drop_duplicates() is the way to go. It's like taking out the trash in your data - gotta keep it clean!
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Solange
3 months ago
Hmm, I'd say C) drop_duplicates(). Sounds like the most straightforward way to deal with those pesky duplicates.
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Bambi
3 months ago
I think remove_duplicates() might work too, but drop_duplicates() seems more common.
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Denna
3 months ago
I agree, drop_duplicates() is the way to go.
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My
3 months ago
I believe C) drop_duplicates() is the correct method because it is commonly used in data science libraries
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Glory
3 months ago
I'm going to go with C) drop_duplicates(). It just makes sense, you know? Remove the duplicates, keep the unique ones.
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Audry
3 months ago
Yeah, drop_duplicates() is definitely the method to use for removing duplicates in Python.
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Dulce
3 months ago
I agree, drop_duplicates() seems like the most logical choice here.
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Candra
3 months ago
I'm not sure, but I think A) remove_duplicates() could also work
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Sylvie
3 months ago
I'm pretty sure the answer is C) drop_duplicates(). It's a super useful function for cleaning up datasets.
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Pilar
2 months ago
I've used drop_duplicates() before, it's really handy for data cleaning tasks.
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Edgar
3 months ago
Yes, drop_duplicates() is commonly used by data scientists for cleaning up datasets.
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Amalia
3 months ago
I think you're right, drop_duplicates() is the method to remove duplicates in Python.
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Barbra
4 months ago
I agree with Ivette, drop_duplicates() makes sense for removing duplicates
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Ivette
4 months ago
I think the answer is C) drop_duplicates()
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Lynelle
4 months ago
Definitely C) drop_duplicates(). It's the go-to method for removing duplicates in Pandas, which is a popular library used by data scientists.
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Kimberely
2 months ago
I've never had any issues with drop_duplicates().
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Dominic
3 months ago
drop_duplicates() is so convenient for data cleaning.
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Dominga
3 months ago
I always use drop_duplicates() for cleaning up my data.
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Huey
3 months ago
I agree, drop_duplicates() is the way to go.
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