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# Scatter plot of a gaussian distribution
# with varying color and point sizes
from vedo import Text2D, Plotter
from vedo.pyplot import plot
import numpy as np
n = 500
x = np.random.randn(n)
y = np.random.randn(n)
# Define what size must have each marker:
marker_sizes = np.sin(2*x)/8
# Define a (r,g,b) list of colors for each marker:
marker_cols = np.c_[np.cos(2*x), np.zeros(n), np.zeros(n)]
txt0 = Text2D("A scatter plot of a\n2D gaussian distribution")
fig0 = plot(
x, y,
lw=0, # no joining of lines
marker="*", # marker style
xtitle="variable A",
ytitle="variable B",
grid=False,
)
txt1 = Text2D("marker size proportional to sin(2x) ")
fig1 = plot(
x, y,
lw=0,
marker="*",
ms=marker_sizes, # VARIABLE marker sizes
mc='purple5', # same fixed color for markers
grid=False,
)
txt2 = Text2D("marker size proportional to sin(2x)\nred level proportional to cos(2x)")
fig2 = plot(
x, y, lw=0,
marker=">",
ms=marker_sizes, # VARIABLE marker sizes
mc=marker_cols, # VARIABLE marker colors
grid=False,
)
plt = Plotter(N=3, size=(1800,500))
plt.at(0).show(fig0, txt0)
plt.at(1).show(fig1, txt1)
plt.at(2).show(fig2, txt2, zoom=1.2)
plt.interactive().close()
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