Visualization with Plotly.Express: Comprehensive guide. One dataset and over 70 charts. Interactivity and animation often in a single line of code
I frequently come up with an ideal visualization and then struggle to code it. It would be to the point, expressive, and easy to interpret, but it’s impossible to create. When I found Plotly it made plotting, well, much easier.
Plotly.Express, first introduced in version 4.0.0 is a high-level abstraction to Plotly API optimized to work perfectly with data frames. It’s very good, though not flawless. I see the biggest gap in the number of examples or links to the API documentation. That’s why I have decided to use my experience with the library to write a guide.
To run the chart and exercises, please use the Plotly Express — Comprehensive Guide.ipynb notebook on Github. All the code in this article is in python.
Table of contents:
Plotly.Express is a regular part of the Plotly python package, so the easiest is to install it all.
## pip pip install plotly ## anaconda conda install -c anaconda plotly
Plotly Express also requires pandas to be installed, otherwise, you will get this error when you try to import it.
[In]: import plotly.express as px [Out]: ImportError: Plotly express requires pandas to be installed.
There are additional requirements if you want to use the plotly in Jupyter notebooks. For Jupyter Lab you need jupyterlab-plotly. In a regular notebook, I had to install
conda install -c anaconda nbformat)
Plotly Express is probably my new favorite data viz tool in python, especially after learning how to take control of it to make it look even nicer. Here, I’ll walk you through the basics to help you on your way to mastering making pretty charts with Plotly Express.
In this article, you will learn how to create a grouped bar chart by using Plotly.express. Plotly Express is a high-level interface for data visualization.
In this exercise, I’ll walk you through the process of drawing a thick colored line on the top of the shaded progress of the concurrent events.
In this tutorial, I would like to introduce a very cool Python hand-painted style visualization package: cutecharts. How to Make the Cutest Chart in Python - Visualize your data with hand-drawn Charts
This is a detailed tutorial on Plotting Bar Charts in Python. Learn to draw different kinds of bar graphs with a lot of options using the matplotlib module.