I\'m making some scatterplots using Matplotlib (python 3.4.0, matplotlib 1.4.3, running on Linux Mint 17). It\'s easy enough to set alpha transparency for each point individuall
Yes, interesting question. You can get this scatterplot with Shapely. Here is the code :
import matplotlib.pyplot as plt
import matplotlib.patches as ptc
import numpy as np
from shapely.geometry import Point
from shapely.ops import cascaded_union
n = 100
size = 0.02
alpha = 0.5
def points():
x = np.random.uniform(size=n)
y = np.random.uniform(size=n)
return x, y
x1, y1 = points()
x2, y2 = points()
polygons1 = [Point(x1[i], y1[i]).buffer(size) for i in range(n)]
polygons2 = [Point(x2[i], y2[i]).buffer(size) for i in range(n)]
polygons1 = cascaded_union(polygons1)
polygons2 = cascaded_union(polygons2)
fig = plt.figure(figsize=(4,4))
ax = fig.add_subplot(111, title="Test scatter")
for polygon1 in polygons1:
polygon1 = ptc.Polygon(np.array(polygon1.exterior), facecolor="red", lw=0, alpha=alpha)
ax.add_patch(polygon1)
for polygon2 in polygons2:
polygon2 = ptc.Polygon(np.array(polygon2.exterior), facecolor="blue", lw=0, alpha=alpha)
ax.add_patch(polygon2)
ax.axis([-0.2, 1.2, -0.2, 1.2])
fig.savefig("test_scatter.png")
and the result is :