Dionysus includes simple plotting functions, in module dionysus.plot
, to
visualize persistence diagrams. These functions internally use Matplotlib, so it has to be installed.
First we generate some diagrams (Vietoris–Rips complex of a 100 random points in a square):
>>> points = np.random.random((100, 2))
>>> f = d.fill_rips(points, 2, 1.)
>>> p = d.homology_persistence(f)
>>> dgms = d.init_diagrams(p, f)
We can scatter plot the points, using plot_diagram()
.
>>> d.plot.plot_diagram(dgms[1], show = True)
Alternatively, we can look at the barcode, using
plot_bars()
. It’s possible to reorder the bars by death,
by passing order = 'death'
to the function.
>>> d.plot.plot_bars(dgms[1], show = True)
When the diagram is very dense, it’s often convenient to look at the histogram
of point density, using plot_diagram_density()
:
>>> a = np.random.random((800,800))
>>> f_lower_star = d.fill_freudenthal(a)
>>> p = d.homology_persistence(f_lower_star)
>>> dgms = d.init_diagrams(p, f_lower_star)
>>> d.plot.plot_diagram_density(dgms[1], show = True)