Plots Style and Color
We’ve shown a few times how to control figure aesthetics in seaborn, but let’s now go over it formally:
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
tips = sns.load_dataset('tips')
Styles
You can set particular styles:
sns.countplot(x='sex',data=tips)
<matplotlib.axes._subplots.AxesSubplot at 0x7f1d2f3651d0>
sns.set_style('white')
sns.countplot(x='sex',data=tips)
<matplotlib.axes._subplots.AxesSubplot at 0x7f1d2f2bf3c8>
sns.set_style('ticks')
sns.countplot(x='sex',data=tips,palette='deep')
<matplotlib.axes._subplots.AxesSubplot at 0x7f1d2f279ef0>
Spine Removal
sns.countplot(x='sex',data=tips)
sns.despine()
sns.countplot(x='sex',data=tips)
sns.despine(left=True)
Size and Aspect
You can use matplotlib’s **plt.figure(figsize=(width,height) ** to change the size of most seaborn plots.
You can control the size and aspect ratio of most seaborn grid plots by passing in parameters: size, and aspect. For example:
# Non Grid Plot
plt.figure(figsize=(12,3))
sns.countplot(x='sex',data=tips)
<matplotlib.axes._subplots.AxesSubplot at 0x7f1d2f4d8b38>
# Grid Type Plot
sns.lmplot(x='total_bill',y='tip',height=2,aspect=4,data=tips)
/home/ggilmore/.local/lib/python3.6/site-packages/seaborn/axisgrid.py:375: UserWarning: Tight layout not applied. The bottom and top margins cannot be made large enough to accommodate all axes decorations.
fig.tight_layout()
/home/ggilmore/.local/lib/python3.6/site-packages/seaborn/axisgrid.py:848: UserWarning: Tight layout not applied. The bottom and top margins cannot be made large enough to accommodate all axes decorations.
self.fig.tight_layout()
<seaborn.axisgrid.FacetGrid at 0x7f1d2f1e7860>
Scale and Context
The set_context() allows you to override default parameters:
sns.set_context('poster',font_scale=4)
sns.countplot(x='sex',data=tips,palette='coolwarm')
<matplotlib.axes._subplots.AxesSubplot at 0x7f1d2f1e7b70>
Check out the documentation page for more info on these topics: https://stanford.edu/~mwaskom/software/seaborn/tutorial/aesthetics.html