Grouped barplot
Let's consider the total bills paid by a set of people at a restaurant. Those bills are split:
- in groups: the day of the week
- in subgroups: wether the clients were smokers or not
This kind of data allows to build a grouped barplot. Each bar represents the mean bill price for each group and subgroups. The groups are provided the the x parameter of the barplot() function, the subgroups are passed to the hue parameter and will control the color.
# import libraries
import seaborn as sns
import matplotlib.pyplot as plt
# set plot style: grey grid in the background:
sns.set_theme(style="darkgrid")
# load dataset
tips = sns.load_dataset("tips")
# Set the figure size
plt.figure(figsize=(8, 8))
# grouped barplot
sns.barplot(x="day", y="total_bill", hue="smoker", data=tips, ci=None);
More than 2 groups
With more than 2 groups you can use the catplot() function to split the plot window. There will be one distinct plot for each of the last subgroup levels.
sns.catplot(x="sex", y="total_bill",
hue="smoker", col="day",
data=tips, kind="bar",
height=4, aspect=.7);
Color
You can create an array of colors to use on the chart, pass it to the color_palette() function to create a palette with it, and set it as the palette to use thanks to set_palette()
# Create an array with the colors you want to use
colors = ["#69b3a2", "#4374B3"]
sns.set_palette(sns.color_palette(colors))
# Set the figure size
plt.figure(figsize=(10, 10))
# grouped barplot
ax = sns.barplot(
x="day",
y="total_bill",
hue="smoker",
data=tips,
ci=None
)
# Customize the axes and title
ax.set_title("Smokers have bigger bills")
ax.set_ylabel("Bill value")
# Remove top and right borders
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
