Bar chart
Bar charts visualize data that is organized according to categories as a series of bars, where the height of each bar represents the values of the data in this category.
For example, in this exercise, you will visualize the number of gold medals won by each country in the provided medals DataFrame. The DataFrame contains the countries as the index, and a column called "Gold" that contains the number of gold medals won by each country, according to their rows.
This exercise is part of the course
Introduction to Data Visualization with Matplotlib
Exercise instructions
- Call the
ax.barmethod to plot the"Gold"column as a function of the country. - Use the
ax.set_xticklabelsto set the x-axis tick labels to be the country names. - In the call to
ax.set_xticklabelsrotate the x-axis tick labels by 90 degrees by using therotationkey-word argument. - Set the y-axis label to
"Number of medals".
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
fig, ax = plt.subplots()
# Plot a bar-chart of gold medals as a function of country
____
# Set the x-axis tick labels to the country names
____.set_xticklabels(____, ____)
# Set the y-axis label
____
plt.show()