Libraries
Let's start by loading a few libraries:
- matplotlib: for plotting
- seaborn: for the themes
numpyfor data generationpandasfor storing the data
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import pandas as pdDataset
Our dataset will consist of 6 columns of numeric values:
data = np.random.normal(size=(20, 6)) + np.arange(6) / 2
df = pd.DataFrame(data)
df.head()| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| 0 | -0.305213 | -0.850624 | -0.024465 | 0.992168 | 2.508927 | 0.833733 |
| 1 | 0.625631 | 1.469616 | 1.325944 | 1.108628 | 2.616785 | 1.712886 |
| 2 | -2.046518 | 0.102678 | 1.763569 | 1.885340 | 2.637508 | 2.632234 |
| 3 | 0.682349 | 0.591841 | 1.808995 | 1.269958 | 3.388124 | 3.758841 |
| 4 | -0.082201 | 0.391850 | 1.580840 | 1.603169 | 1.548844 | 0.812924 |
Default theme
sns.boxplot(data=data)
plt.show()
White grid
sns.set_style("whitegrid")
sns.boxplot(data=data)
plt.title("whitegrid")
plt.show()
Dark grid
sns.set_style("darkgrid")
sns.boxplot(data=data);
plt.title("darkgrid")
plt.show()
White
sns.set_style("white")
sns.boxplot(data=data);
plt.title("white")
plt.show()
Dark
sns.set_style("dark")
sns.boxplot(data=data);
plt.title("dark")
plt.show()
Ticks
sns.set_style("ticks")
sns.boxplot(data=data);
plt.title("ticks")
plt.show()
Going further
This post explains how to set the style of a seaborn plot.
You might be interested in how to custom axis in seaborn and how to add a title in seaborn
