%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
n = 100
r = 2 * np.random.rand(n)
theta = 2 * np.pi * np.random.rand(n)
area = 200 * r**2 * np.random.rand(n)
colors = theta
Full list of colormaps: http://wiki.scipy.org/Cookbook/Matplotlib/Show_colormaps
c = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.RdYlGn)
c1 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.Blues)
c2 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.BrBG)
c3 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.Greens)
c4 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.RdGy)
c5 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.YlOrRd)
c6 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.autumn)
c7 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.binary)
c8 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.gist_earth)
c9 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.gist_heat)
c10 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.hot)
c11 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.spring)
c12 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.summer)
c12 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.winter)
c13 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.bone)
c14 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.cool)
c15 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.YlGn)
c16 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.RdBu)
c17 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.PuOr)
c18 = plt.scatter(theta, r, c=colors, s=area, cmap=plt.cm.Oranges)