Okay, so I wanted to mess around with this “waffle” thing I kept hearing about. I’m not even sure what it really is, but it sounded fun, and the name “waffle two” got me curious. It’s probably some kind of charting library, right? Let’s dive in!
![Waffle Two vs. [Competitor Shoe]: Which One Should You Pick?](https://www.m3rof.com/wp-content/uploads/2025/02/6f7b73d9c74accf5359006d15181fbe0.jpeg)
Getting Started
First things first, I needed to figure out how to even get this thing. No idea if it was a Python thing, a Javascript thing, or what. I just Googled “waffle two” and poked around until it looked like I found something that might work I Think.
It seemed I have to get the packages, It feels very easy to start
Making the Basic Waffle
I copy and pasted the example the found online into my file, messed with the numbers a bit, and boom, I had a waffle-looking grid! It was super simple, just a few lines of code to define the data and then another line to actually create the chart.
- I started by making a list of the category.
- Then, I figured out the how to setup the number I want.
- Finally, I add the code for show.
It’s not rocket science. and it’s done!
Playing with Colors and Styles
The default colors were kinda boring, so I dug into the documentation (which, honestly, wasn’t the greatest) to see if I could change them. Turns out, it was pretty easy! I just added a parameter, I guess that is, to customize the colors for each category.
![Waffle Two vs. [Competitor Shoe]: Which One Should You Pick?](https://www.m3rof.com/wp-content/uploads/2025/02/699aad1cd0017f411cd857e017e0f7fd.jpeg)
I also messed with the size of the little squares, and change them to rounded. Make it more stylish.
My Final Thoughts
Overall, playing with “waffle two” was way easier than I expected. I mean, I went in knowing absolutely nothing, and within like, an hour, I had a pretty decent-looking chart. The documentation could be better, and I’m sure there are tons of features I haven’t even touched yet, but for a quick and dirty way to visualize some data, it seems pretty solid. Might use this again for some other projects!