Thank you to everyone who has used prettyplotlib
and made it what it is today! Unfortunately, I no longer have the bandwidth to maintain prettyplotlib. I recommend using seaborn
. Using seaborn
, to get the prettyplotlib
style, do:
import seaborn as sns
sns.set(style='ticks', palette='Set2')
And to remove "chartjunk", do:
sns.despine()
If you have discrete pull requests, I will accept them, but I personally will no longer fix bugs.
If you are a biological scientist looking for ways to analyze your big-ish (20+ samples) data, check out my main project, flotilla
.
Python matplotlib-enhancer library which painlessly creates beautiful default matplotlib
plots. Inspired by Edward Tufte's work on information design and Cynthia Brewer's work on color perception.
I truly believe that scientific progress is impeded when improper data visualizations are used. I spent a lot of time tweaking my figures to make them more understandable, and realized the scientific world could be a better place if the default parameters for plotting libraries followed recent advances in information design research. And thus prettyplotlib
was born.
Requirements:
matplotlib
. Can be installed via pip install matplotlib
or easy_install matplotlib
brewer2mpl
. Can be installed via pip install brewer2mpl
or easy_install brewer2mpl
matplotlib
"Dis ain't no uglyplotlib" - Anonymous