PRLPlot is a collection of simple opinionated plotting tools for generating high-quality plots for scientific papers. The aim of this library is to make it as easy as possible to create beautiful plots in a specific style.
PRLPlot currently supports a limited number of types of plots, and welcomes feature additions and enhancements!
A demo of PRLPlot and a comparison against standard matplotlib plots is available in a Colab notebook here.
Install with:
pip install git+https://github.com/personalrobotics/PRLPlot.gitPlotting with PRLPlot is very easy, and very similar to regular pyplot. The plots are also very customizable, as PRLPlot is unintrusive to your plotting pipeline. A runnable notebook is available here.
from matplotlib import pyplot as plt
import numpy as np
import prlplot
X = np.linspace(0, 1, 5)
ours = X**0.3
theirs = X**0.7
# Plotting with PRLPlot is easy!
with prlplot.figure() as fig:
ax = fig.add_subplot()
ax.set_title("Ours vs Theirs")
ax.plot(X, ours, label="Ours", **prlplot.line_plot_kwargs(baseline=None))
ax.plot(X, theirs, label="Theirs", **prlplot.line_plot_kwargs(baseline=0))
ax.legend()
ax.set_xlabel("X Axis")
ax.set_ylabel("Y Axis")
# Save losslessly as a PDF (OUTSIDE of the with block!)
prlplot.savefig_pdf(fig, "plot.pdf")
plt.show()