Get startedGet started for free

Complex jointplots

The jointplot is a convenience wrapper around many of the JointGrid functions. However, it is possible to overlay some of the JointGrid plots on top of the standard jointplot. In this example, we can look at the different distributions for riders that are considered casual versus those that are registered.

This exercise is part of the course

Intermediate Data Visualization with Seaborn

View Course

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Create a jointplot of temp vs. casual riders
# Include a kdeplot over the scatter plot
g = sns.___(x="temp",
             y="casual",
             kind='___',
             data=df,
             marginal_kws=dict(bins=10))
g.plot_joint(sns.___)
    
plt.show()
plt.clf()
Edit and Run Code