(Not so) Generic plotting tools
To install, run
pip install plottery
or simply clone the latest version from github:
git clone https://github.com/cristobal-sifon/plottery.git
The plottery package contains four modules, astroplots, patches,
plotutils, and statsplots
Below is a brief description of each module's functions. See their help pages for more details.
astroplots:
contour_overlay -- Overlay contours from one image on to another (new in v0.3.1).
phase_space -- Plot phase space diagram (i.e., velocity vs. distance).
wcslabels -- Generate HMS and DMS labels for RA and Dec given in decimal degrees.
patches: additional matplotlib.patches objects
Bracket -- a square bracket used to highlight a region in a figure.
LogEllipse -- a finely-sampled polygon that appears as an ellipse in a log-log plot.
plotutils:
colorscale -- Generate a colorbar and associated array of colors from a given data set.
savefig -- Convenience wrapper around functions used when commonly saving a figure.
update_rcParams -- Update rcParam configuration to make plots look nicer.
statsplots:
contour_levels -- Calculate contour levels at chosen percentiles for 2-dimensional data.
corner -- Make a corner plot.
- v0.7.0 (Aug 2025):
astLibno longer required if not usingastroplots.contour_overlay
- v0.6.6 (Dec 2022):
statsplots.cornersupports strings inbinsandbins1dfor automatic bin width calculation
- v0.6.5 (Dec 2022):
statsplots.cornerbug fix when attempting to plot likelihood in diagonal panels (#27)
Last updated: Aug 2025
(c) Cristóbal Sifón 2013-2025