Table of Contents
Barplots with Seaborn are a type of graph that displays categorical data in the form of rectangular bars. Each bar usually represents a different category or group of data, with the height of the bar indicating the value of the data. Seaborn is a Python visualization library based on matplotlib that provides a high-level interface for drawing attractive and informative statistical graphics. Examples of barplots with Seaborn include bar charts of the number of items sold by a company, the number of students who passed a test, and the average income of a city.
A barplot is a type of plot that displays the numerical values for different categorical variables.
This tutorial explains how to create heatmaps using the Python visualization library with the built-in tips dataset:
import seaborn as sns #load tips dataset data = sns.load_dataset("tips") #view first five rows of tips dataset data.head() total_bill tip sex smoker day time size 0 16.99 1.01 Female No Sun Dinner 2 1 10.34 1.66 Male No Sun Dinner 3 2 21.01 3.50 Male No Sun Dinner 3 3 23.68 3.31 Male No Sun Dinner 2 4 24.59 3.61 Female No Sun Dinner 4
Make a Basic Barplot
The following syntax shows how to make a simple barplot that displays the time of day along the x-axis and the mean tip along the y-axis:
sns.barplot(x="time", y="tip", data=data)
The barplot displays the standard error of the mean for each bar by default, but we can turn these off by using the argument ci=None as follows:
sns.barplot(x="time", y="tip", data=data, ci=None)
Order the Bars in the Barplot
We can use the order argument to quickly put the bars in a certain order:
sns.barplot(x="time", y="tip", data=data, order=["Dinner", "Lunch"])
Make a Grouped Barplot
We can make a grouped barplot by using the hue argument. For example, we can use the following syntax to display the mean tip grouped by day and sex:
sns.barplot(x="time", y="tip", hue="sex", data=data)
Make a Horizontal Barplot
To create a horizontal barplot, we simply need to pass a categorical variable to the y argument and a numerical variable to the x argument:
sns.barplot(x="tip", y="time", data=data)
Modify the Colors of the Barplot
We can use the palette argument to pass a list of colors to use for the bars in the barplot:
sns.barplot(x="tip", y="time", palette=["pink", "green"], data=data)
The following tutorials explain how to create other common charts in seaborn: