Using Seaborn Styles
Intermediate Data Visualization with Seaborn
Chris Moffitt
Instructor
Setting Styles
- Seaborn has default configurations that can be applied with
sns.set() - These styles can override matplotlib and pandas plots as well
sns.set()
df['Tuition'].plot.hist()
Theme examples with sns.set_style()
for style in ['white','dark','whitegrid','darkgrid','ticks']:
sns.set_style(style)
sns.displot(df['Tuition'])
plt.show()
Removing axes with despine()
- Sometimes plots are improved by removing elements
- Seaborn contains a shortcut for removing the spines of a plot
sns.set_style('white')
sns.displot(df['Tuition'])
sns.despine(left=True)
