FAQ: Recreate graphs using Matplotlib! - Side By Side Bars

FAQ Python FAQ
#1

Community%20FAQs%20on%20Codecademy%20Exercises
Community FAQs on Codecademy Exercises.jpeg1000×208 141 KB

This community-built FAQ covers the “Side By Side Bars” exercise from the lesson “Recreate graphs using Matplotlib!”.

Paths and Courses
This exercise can be found in the following Codecademy content:

Data Science

Data Visualization in Python

FAQs on the exercise Side By Side Bars

Join the Discussion. Help a fellow learner on their journey.

Ask or answer a question about this exercise by clicking reply (reply) below!

Agree with a comment or answer? Like (like) to up-vote the contribution!

Need broader help or resources? Head here.

Looking for motivation to keep learning? Join our wider discussions.

Learn more about how to use this guide.

Found a bug? Report it!

Have a question about your account or billing? Reach out to our customer support team!

None of the above? Find out where to ask other questions here!

#2

When going through the first instruction I was confused as of what what to do. It instructs me to make two variable lists that have already been created previously. So instead of using the function given I just pressed next and it worked fine. Is there a reason to follow the first instruction other than to get used to the bar format or is it a mistake to have the list variables there in the first place?

Link to lesson

3 Likes
#3

It seems to be a mistake because the two lists under create_x disappeared when I reset the exercise.

#4

In case someone is wondering as by following the instructions you end up with a different graph, the axes are something like this:

plt.axis([0, 10, 70, 90])

10 because the final bar is centered on 9.6, and the bars are 0.8 in width; the value at [-1] index of x_values for the last bar in your graph, + half the width of your bars.

-Twan

#5

Hi
I would like to have a reminder on how to create a figure, for a reason that I don’t know there is no example in the cheat sheet.

https://www.codecademy.com/learn/paths/data-science/tracks/data-visualization/modules/dspath-matplotlib/cheatsheet

Cheer