ScatterGlyph¶

ScatterGlyph draws 2-D point clouds. A per-point values array drives colour through the shared scalar-mapping pipeline (with a matching colorbar); an independent per-point sizes array drives marker area, so colour and size can encode two quantities at once.

In [1]:

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
from cleopatra.scatter_glyph import ScatterGlyph
rng = np.random.default_rng(0)

%matplotlib inline import numpy as np import matplotlib.pyplot as plt from cleopatra.scatter_glyph import ScatterGlyph rng = np.random.default_rng(0)

1. Value-coloured points¶

In [2]:

x, y = rng.random(150), rng.random(150)
values = x + y  # colour by position sum
sg = ScatterGlyph(x, y, values=values, cmap='viridis')
fig, ax, paths = sg.plot(title='Value-coloured points')

x, y = rng.random(150), rng.random(150) values = x + y # colour by position sum sg = ScatterGlyph(x, y, values=values, cmap='viridis') fig, ax, paths = sg.plot(title='Value-coloured points')

2. Colour and size encoding two quantities¶

values drives colour, sizes drives marker area — independently. Set size_legend=True to add a size legend.

In [3]:

x, y = rng.random(60), rng.random(60)
values = rng.random(60)
sizes = rng.random(60) * 12
sg = ScatterGlyph(x, y, values=values, sizes=sizes,
                  size_legend=True, cmap='plasma')
fig, ax, paths = sg.plot(title='Colour + size')

x, y = rng.random(60), rng.random(60) values = rng.random(60) sizes = rng.random(60) * 12 sg = ScatterGlyph(x, y, values=values, sizes=sizes, size_legend=True, cmap='plasma') fig, ax, paths = sg.plot(title='Colour + size')