Seaborn Figure Backgound Setting¶

import pandas as pd
from IPython.display import display

import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns

# load_data
iris = pd.melt(sns.load_dataset('iris'), "species", var_name="measurement")
display(iris.head())

	species	measurement	value
0	setosa	sepal_length	5.1
1	setosa	sepal_length	4.9
2	setosa	sepal_length	4.7
3	setosa	sepal_length	4.6
4	setosa	sepal_length	5.0

Default¶

sns.stripplot(x="measurement", y="value", hue="species", data=iris, jitter=0.2, dodge = True, linewidth=0.5, edgecolor = "white")
plt.show()

White¶

sns.set_style('white')
sns.stripplot(x="measurement", y="value", hue="species", data=iris, jitter=0.2, dodge = True, linewidth=0.5, edgecolor = "white")
plt.show()

Whitegrid¶

sns.set_style('whitegrid')
sns.stripplot(x="measurement", y="value", hue="species", data=iris, jitter=0.2, dodge = True, linewidth=0.5, edgecolor = "white")
plt.show()

Dark¶

sns.set_style('dark')
sns.stripplot(x="measurement", y="value", hue="species", data=iris, jitter=0.2, dodge = True, linewidth=0.5, edgecolor = "white")
plt.show()

Darkgrid¶

sns.set_style('darkgrid')
sns.stripplot(x="measurement", y="value", hue="species", data=iris, jitter=0.2, dodge = True, linewidth=0.5, edgecolor = "white")
plt.show()

Ticks¶

ticks on axes

sns.set_style('ticks')
sns.stripplot(x="measurement", y="value", hue="species", data=iris, jitter=0.2, dodge = True, linewidth=0.5, edgecolor = "white")
plt.show()

Reference¶

https://seaborn.pydata.org/tutorial/aesthetics.html