Great Tables: Make beautiful, publication quality tables in Python | Rich Iannone & Michael Chow

Tables are undeniably useful for data work. We have many great DataFrame libraries available in Python, and they give us flexibility in terms of manipulating data at will, but what happens when presenting tables to others?

It's nice to display tables. Tables can efficiently carry information, just like plots do, and at times it is the better way of presenting data. Indeed, it is time to bridge the divide between raw DataFrame output and wondrously structured tables suitable for publication.

Now, let us turn our attention to the state of 'display tables' in 2024. Let us go over what comprises key components for building effective information displays in tables. It may surprise one how new a well-crafted table can be hewn. We'll take a look at the combinations of Python packages that fit together to make this important task possible, and marvel together at the tabular results they can provide!

Learn more at https://posit-dev.github.io/great-tab...

Timestamps:
0:00 Intro: Meet Rich and Michael
0:41 What we mean by "publication ready tables"
1:29 Overview of what we'll talk about in this video
1:44 Table Goals: Ways to make a table beautiful
4:41 Tables made from reproducible code!
5:11 The history of table generation to influence our API
6:15 Our modern take on a table display framework
6:35 The problem with Excel
7:38 Introducing Great Tables!
8:00 Key Ingredients of making a Great Table
8:24 Structure: Title, column spanners and nice column labels
8:52 Format: Compact dollar values and percentages
9:23 Styling: Fill color and bold text
10:09 Imports and Polars Selectors
11:08 Coding the structure
12:27 Coding the format
13:07 Coding the styling
15:03 Putting images and plots in your table cells
15:49 Advanced Design
16:07 .fmt_nanoplot(): Small plots within table cells
19:08 .data_color(): Heat maps in tales
20:51 Powerful and plentiful methods to format cell values
22:48 To sum up: TABLES RULE.