plottery 0.6.6

Custom plotting tools

plottery

(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.

Changelog

• v0.6.6 (Dec 2022):
  • statsplots.corner supports strings in bins and bins1d for automatic bin width calculation
• v0.6.5 (Dec 2022):
  • statsplots.corner bug fix when attempting to plot likelihood in diagonal panels (#27)

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Last updated: Dec 2022

(c) Cristóbal Sifón 2013-2022