A | Assignment |
๐ Working with Books CSV
Please save your solutions for Exercises 1 to 3 in a single Python script named unit07__ex(1-3)code.py
.
For Bonus Exercise, use a separate script named unit07__ex4code.py
.
Save both scripts in the same unit07
folder, compress the folder into a .zip
file, and upload it to ILIAS.
For more information, please visit the following link:
https://geomoer.github.io/moer-base-python/unit00/unit00-04_submission_guidelines.html
Make sure your code is clearly structured and includes comments where helpful.
Introduction
Use the online CSV file and follow the steps to explore the dataset using pandas
.
๐ฅ CSV URL:
https://geomoer.github.io/moer-base-python/assets/tests/unit07/books.csv
๐ Task 1: Count Books in the Genre โFantasyโ
- Filter the DataFrame to find all books where the
"Genre"
is"Fantasy"
. - Count how many such books there are.
- Print the number.
๐ Task 2: List All Books Before the Year 1950
- Filter the DataFrame to include only books with a
"Year"
before 1950. - Print the titles and years of those books.
๐ก Hint: Donโt forget to convert "Year"
to int
before comparing.
๐ Task 3: Print All Unique Genres
- Print a list of all unique values in the
"Genre"
column. - Then, print how many different genres there are in total.
๐ Task 4 (Bonus): Mark Old Books with apply()
- Use the
.apply()
method withaxis=1
to create a new column called"Old"
. - If the
"Year"
of a book is before 1950, set โOldโ to โyesโ or โnoโ - Export the new DataFrame with the
"Old"
columns.
๐ก Hint: Inside your function, make sure to convert "Year"
to an integer before comparing.