Hello! I am currently self-taught pandas library using python right now, but I can not figure out the attached question.   This is the link that I found this problem, so if you needed, feel free to look it up! Thank you in advance.

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Hello! I am currently self-taught pandas library using python right now, but I can not figure out the attached question.
 
This is the link that I found this problem, so if you needed, feel free to look it up! Thank you in advance.


https://datascienceinpractice.github.io/assignments/D2_Pandas.html

Оба: Slicing
The concept of slicing can be combined with conditionals. For
example, you can return all rows of a particular value.
Using value_counts() above on the fruity_choco column
we created, we see that there is one candy that is both
chocolate and fruity in our dataset. Let's figure out which
candy that was!
Use slicing to return the row from df where fruity_choco
indicated the candy was both fruity and chocolate.
Store this DataFrame (which will have a single row) as both.
Again using indexing, store the name of the candy that is both
fruity and chocolate in the variable candy_name.
# YOUR CODE HERE
raise NotImplementedError()
assert type(both)
assert both.shape
assert isinstance(candy_name, str)
pd. DataFrame
(1, 10)
Transcribed Image Text:Оба: Slicing The concept of slicing can be combined with conditionals. For example, you can return all rows of a particular value. Using value_counts() above on the fruity_choco column we created, we see that there is one candy that is both chocolate and fruity in our dataset. Let's figure out which candy that was! Use slicing to return the row from df where fruity_choco indicated the candy was both fruity and chocolate. Store this DataFrame (which will have a single row) as both. Again using indexing, store the name of the candy that is both fruity and chocolate in the variable candy_name. # YOUR CODE HERE raise NotImplementedError() assert type(both) assert both.shape assert isinstance(candy_name, str) pd. DataFrame (1, 10)
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