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Removing spines

In general, visualizations should minimize extraneous markings so that the data speaks for itself. Seaborn allows you to remove the lines on the top, bottom, left and right axis, which are often called spines.

Cet exercice fait partie du cours

<cours>Intermediate Data Visualization with Seaborn</cours>
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Instructions de l’exercice

  • Use a white style for the plot.
  • Create a lmplot() comparing the pop2010 and the fmr_2 columns.
  • Remove the top and right spines using despine().

Exercice interactif pratique

Essayez cet exercice en complétant ce code d’exemple.

# Set the style to white
sns.set_style('____')

# Create a regression plot
sns.lmplot(data=df,
           x='pop2010',
           y='fmr_2')

# Remove the spines
sns.____()

# Show the plot and clear the figure
plt.show()
plt.clf()
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