# Grouped Barplot using Seaborn

This post explains how to draw a grouped barplot using seaborn. Note that you can check this post to see how to make a basic barplot using seaborn.

## 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(style="darkgrid")

# 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)
``````

Barplot

Wordcloud

Parallel

Lollipop

Circular Barplot

## Contact & Edit

👋 This document is a work by Yan Holtz. Any feedback is highly encouraged. You can fill an issue on Github, drop me a message onTwitter, or send an email pasting `yan.holtz.data` with `gmail.com`.

Violin

Density

Histogram

Boxplot

Ridgeline

Scatterplot

Heatmap

Correlogram

Bubble

Connected Scatter

2D Density

Barplot

Wordcloud

Parallel

Lollipop

Circular Barplot

Treemap

Venn Diagram

Donut

Pie Chart

Dendrogram

Circular Packing

Line chart

Area chart

Stacked Area

Streamgraph

Timeseries

Map

Choropleth

Hexbin

Cartogram

Connection

Bubble

Chord Diagram

Network

Sankey

Arc Diagram

Edge Bundling

Colors

Interactivity

Animation

Cheat sheets

Caveats

3D