We can pass various parameters to FacetGrid like row, col, col_order, hue, palette, height, aspect etc. To add legend to Facet Grid, you can use add_legend() function.
Lets explore Facet Grid with Tips dataset.
Step 1: Import required libraries
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
Step 2: Load Tips datasets
tips=sns.load_dataset(‘tips')
tips.head()
Step 3: Explore data using Facet Grid
Facet Grid with Histogram
x = sns.FacetGrid(tips, row='smoker', col='time')
x = x.map(plt.hist, ‘total_bill')
x = sns.FacetGrid(tips, row='smoker', col='time')
x = x.map(plt.hist, ‘total_bill', bins=15, color='green')
Facet Grid with Scatter Plot
x = sns.FacetGrid(tips, row='smoker', col='time')
x = x.map(plt.scatter, ‘total_bill', ‘tip')
Facet Grid with Regression Plot
x = sns.FacetGrid(tips, row='smoker', col='time', height=6, aspect=0.7)
x = x.map(sns.regplot, ‘total_bill', ‘tip')
x = sns.FacetGrid(tips, col='time', hue='smoker', palette='husl')
x = x.map(sns.regplot, ‘total_bill', ‘tip')
x = sns.FacetGrid(tips, col='time', hue='smoker')
x = x.map(sns.regplot, ‘total_bill', ‘tip').add_legend()
Facet Grid with Box Plot
x = sns.FacetGrid(tips, col='day', height=10, aspect=0.2)
x = x.map(sns.boxplot, ‘time', ‘total_bill')
x = sns.FacetGrid(tips, col='day', height=10, aspect=0.2, col_order=[‘Sat', ‘Sun', ‘Thur', ‘Fri'])
x = x.map(sns.boxplot, ‘time', ‘total_bill', color='red')
You can download my Jupyter notebook from here. I recommend to also try above code with Iris dataset.
