In this section, we provide a reference gallery for Python programmers who are looking for an easy and quick way to visualize data.

There are three options to access this reference gallery:

• Option 1: Check a shared file on Google Colab (Only supporting Chrome, with Table of contents):
• Option 2: Online or download to view it offline (without Table of contents):
• Option 3: Check the file published on Github (without Table of contents):

How to use the reference gallery:

To use this reference, take the following steps:

• have a look at the Table of Contents on the left hand
• find the type of graphs you aim to use (if not familiar with graphs, read our tutorial about it)
• check the example graphs (three options mentioned below)
• pick one that fits your aim of visualization
• use the example code to remake one graph for your data
• use the example code to style and export your graph

Google Colaboratory

Additional materials to read

• More information about graphs from Origin
• More information from The Data Visualisation Catalogue
• About Plotly
• Plotly's high-level interface