Seaborn

python
Run Inline
import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
# Load built-in dataset
df = sns.load_dataset('tips')
# Distribution
sns.histplot(df['total_bill'], kde=True)
plt.title('Distribution of Total Bill')
plt.show()
# Box plot by category
sns.boxplot(data=df, x='day', y='total_bill', hue='sex')
plt.show()
# Pairplot
sns.pairplot(df, hue='smoker')
plt.show()
# Regression plot
sns.lmplot(data=df, x='total_bill', y='tip', hue='sex')
plt.show()
# FacetGrid
g = sns.FacetGrid(df, col='time', row='sex')
g.map(sns.histplot, 'total_bill')
plt.show()