Scale and Context
The set_context() allows us to override default parameters. This affects things like the size of the labels, lines, and other elements of the plot, but not the overall style.
The context are:
- poster
- paper
- notebook
- talk
Example 1: using poster.
Python3
import seaborn as snsimport matplotlib.pyplot as plt tips = sns.load_dataset('tips')sns.set_context('poster', font_scale = 2)sns.countplot(x ='sex', data = tips, palette ='coolwarm') |
Output:
Example 2: Using paper.
Python3
import seaborn as snsimport matplotlib.pyplot as plt tips = sns.load_dataset('tips')sns.set_context('paper', font_scale = 2)sns.countplot(x ='sex', data = tips, palette = 'coolwarm') |
Output:
Example 3: Using notebook.
Python3
import seaborn as snsimport matplotlib.pyplot as plt tips = sns.load_dataset('tips')sns.set_context('notebook', font_scale = 2)sns.countplot(x ='sex', data = tips, palette ='coolwarm') |
Output:
Example 4: Using talk.
Python3
import seaborn as snsimport matplotlib.pyplot as plt tips = sns.load_dataset('tips')sns.set_context('talk', font_scale = 2)sns.countplot(x ='sex', data = tips, palette ='coolwarm') |
Output:
Seaborn | Style And Color
Seaborn is a statistical plotting library in python. It has beautiful default styles. This article deals with the ways of styling the different kinds of plots in seaborn.
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