For the past few years my go-to environment for putting together data
visualizations has been an iPython notebook (now Jupyter
notebook) loaded up with the
magic. It’s great for iterating through revisions of a plot for whatever
presentation or manuscript I’m preparing. Eventually, some of these plots make it
into a manuscript and matplotlib provides the tools to make them publication-quality.
I’ve put together a jupyter notebook outlining a few of the common plot types I find myself routinely assembling as well as some of the styling I regularly use.
You can find this notebook in my notebooks repo or rendered in HTML here: