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Snowflake DSA-C02 Exam - 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()


by Zita at Aug 23, 2024, 01:06 PM

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Pilar
4 months ago
I’m not sure about that, seems off.
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Starr
4 months ago
Wait, is clean_duplicates() not a thing?
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Renea
4 months ago
I thought it was remove_duplicates() at first.
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Cora
5 months ago
Agreed, that's the one!
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Meaghan
5 months ago
It's definitely drop_duplicates()!
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Tammara
5 months ago
I feel like clean_duplicates() sounds familiar, but I don’t think that’s the correct method. It must be one of the others.
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Devorah
5 months ago
I’m a bit confused; I thought there was a method called remove_duplicates(), but it might not be the right one for this.
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Beth
5 months ago
I remember practicing a question about removing duplicates, and I think it was definitely drop_duplicates() that was used in pandas.
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Ariel
6 months ago
I think the method is something like drop_duplicates(), but I’m not entirely sure.
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Janet
6 months ago
I've got this one! The answer is definitely C. drop_duplicates(). It's a super useful Pandas function that makes it easy to identify and remove duplicate rows in a DataFrame. Definitely the way to go for data scientists.
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Kina
6 months ago
I'm a little confused by this question. I don't recognize any of those method names. Is there a more generic way to remove duplicates in Python that I should be looking at instead? I want to make sure I understand the best approach.
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Isreal
6 months ago
Ah, this is a good one! I remember learning about this in my data science course. I believe the correct answer is C. drop_duplicates(). It's a handy Pandas function for cleaning up duplicate data.
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Tonette
6 months ago
I'm pretty sure the answer is C. drop_duplicates() is the method I've used before to remove duplicates in my data science work.
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Walker
6 months ago
Hmm, I'm a bit unsure about this one. I know there are a few different ways to remove duplicates in Python, but I can't recall the exact method name off the top of my head. I'll have to think this through carefully.
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Cecil
6 months ago
Hmm, this is a tricky one. I'll need to carefully examine the FortiGate configuration and FortiAnalyzer logs to identify the potential issues.
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Rozella
6 months ago
This one seems pretty straightforward. I think the default package is set in the report properties, so I'll go with option D.
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Emelda
2 years 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 year ago
It's so satisfying to see those duplicates disappear with just one line of code.
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Kirby
1 year ago
I always use drop_duplicates() to clean up my data.
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Fannie
1 year ago
I agree, it's a common method used by data scientists.
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Dolores
2 years ago
C) drop_duplicates() is definitely the way to go.
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Vincent
2 years 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
2 years 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
2 years ago
I think remove_duplicates() might work too, but drop_duplicates() seems more common.
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Denna
2 years ago
I agree, drop_duplicates() is the way to go.
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My
2 years ago
I believe C) drop_duplicates() is the correct method because it is commonly used in data science libraries
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Glory
2 years 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
2 years ago
Yeah, drop_duplicates() is definitely the method to use for removing duplicates in Python.
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Dulce
2 years ago
I agree, drop_duplicates() seems like the most logical choice here.
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Candra
2 years ago
I'm not sure, but I think A) remove_duplicates() could also work
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Sylvie
2 years 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 years ago
I've used drop_duplicates() before, it's really handy for data cleaning tasks.
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Edgar
2 years ago
Yes, drop_duplicates() is commonly used by data scientists for cleaning up datasets.
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Amalia
2 years ago
I think you're right, drop_duplicates() is the method to remove duplicates in Python.
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Barbra
2 years ago
I agree with Ivette, drop_duplicates() makes sense for removing duplicates
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Ivette
2 years ago
I think the answer is C) drop_duplicates()
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Lynelle
2 years 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 years ago
I've never had any issues with drop_duplicates().
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Dominic
2 years ago
drop_duplicates() is so convenient for data cleaning.
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Dominga
2 years ago
I always use drop_duplicates() for cleaning up my data.
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Huey
2 years ago
I agree, drop_duplicates() is the way to go.
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