marsilea.plotter.Arc

class marsilea.plotter.Arc(anchors, links, weights=None, width=None, colors=None, labels=None, legend_kws=None, label=None, label_loc=None, props=None, **kwargs)

Bases: StatsBase

Arc diagram.

Parameters:

anchorsarray-like

Anchors of the arcs.

linksarray-like

Links of the arcs.

weightsarray-like, optional

Weights of the links. If not specified, all links will have the same width.

widthfloat or tuple of float, optional

Width of the links. If weights is specified, width must be a tuple of two floats, where the first float is the minimum width and the second float is the maximum width. If weights is not specified, width must be a float.

colorsstr or array-like, optional

Colors of the links. If not specified, all links will have the same color.

labelsarray-like, optional

Labels of the links. If not specified, no legend will be shown.

legend_kwsdict, optional

Keyword arguments passed to legendkit.cat_legend.

labelstr, optional

Label of the plot.

label_locstr, optional

Location of the label. Must be one of the following: “left”, “right”, “top”, “bottom”, “center”.

propsdict, optional

Keyword arguments passed to matplotlib.text.Text.

**kwargs

Keyword arguments passed to matplotlib.patches.Arc.

Examples

>>> import marsilea as ma
>>> from marsilea.plotter import Arc
>>> anchors = np.arange(10)
>>> links = [(0, 7), (1, 5), (3, 10), (0, 9), (5, 8), (2, 6), (4, 8)]
>>> weights = [1, 2, 3, 5, 2, 1, 2]
>>> colors = ["C0", "C1", "C2", "C3", "C4", "C5", "C6"]
>>> labels = ["A", "B", "C", "D", "E", "F", "G"]
>>> h = ma.Heatmap(np.random.rand(10, 10))
>>> h.add_top(Arc(anchors, links, weights=weights,
...               colors=colors, labels=labels))
>>> h.render()

render_main = False