A collection of boxplot examples made with Python, coming with explanation and reproducible code

For an overview of the plotting methods we provide, see Plot types. This page contains example plots. Click on any image to see the full image and source code. For longer tutorials, see our tutorials page. You can also find external resources and a FAQ in our user guide.

Visualizing boxplots with matplotlib. The following examples show off how to visualize boxplots with Matplotlib. There are many options to control their appearance and the statistics that they use to summarize the data.

Draw a box and whisker plot. The box extends from the first quartile (Q1) to the third quartile (Q3) of the data, with a line at the median. The whiskers extend from the box to the farthest data point lying within 1.5x the inter-quartile range (IQR) from the box.

How to make Box Plots in Python with Plotly. New to Plotly? A box plot is a statistical representation of the distribution of a variable through its quartiles. The ends of the box represent the lower and upper quartiles, while the median (second quartile) is marked by …

Apr 14, 2025 · The matplotlib.pyplot module of matplotlib library provides boxplot () function with the help of which we can create box plots. The data values given to the ax.boxplot () method can be a Numpy array or Python list or Tuple of arrays.

In this post, we will explore how to use Matplotlib to customize boxplots, creating visually informative representations of data distribution while exploring available customization options. First, you need to install the following librairies: import pandas as pd. import numpy as np.

Feb 24, 2023 · In this tutorial, we'll cover how to plot Box Plots in Matplotlib with Python. We'll cover basic Box Plots and Customization with examples in detail.

Drawing a grouped boxplot with Seaborn is a common way to show the distribution of mutliple groups for a variable. In this post, we'll detail how to create these boxplots and how to customize them. First, you need to install the following libraries: We'll use a dataset on customers in a bar that you can easily load with the code below.

Jun 16, 2024 · Continuing on in our data visualization series… last week, we covered scatter plots and this week, we’re moving on into the elusive box plot. In this post, we go over what box plots are, the 6 key components of each box plot, when to use box plots, how to make them in Python, how to understand them as well as their limitations. What are Box ...