Style your data plots in Python with Pygal – An introduction one of the more stylish Python plotting libraries
Python is full of libraries that can visualize data. One of the more interactive options comes from Pygal, which I consider the library for people who like things to look good. It generates beautiful SVG (Scalable Vector Graphics) files that users can interact with. SVG is a standard format for interactive graphics, and it can lead to rich user experiences with only a few lines of Python.
By: Shaun Taylor-Morgan | Opensource.com.
In this introduction, we want to recreate this multi-bar plot, which represents the UK election results from 1966 to 2020:
Before we go further, note that you may need to tune your Python environment to get this code to run, including the following.
The data is available online and can be imported using pandas:
import pandas as pd df = pd.read_csv('https://anvil.works/blog/img/plotting-in-python/uk-election-results.csv')
Now we’re ready to go. The data looks like this:
year conservative labour liberal others 0 1966 253 364 12 1 1 1970 330 287 6 7 2 Feb 1974 297 301 14 18 .. ... ... ... ... ... 12 2015 330 232 8 80 13 2017 317 262 12 59 14 2019 365 202 11 72
