# Take care of some environmental stuff
%pylab inline
import matplotlib.pyplot as plt
import numpy as np

figsize(10,10)

bubs = 100

x = np.random.rand(bubs)
y = np.random.rand(bubs)

plt.scatter(x,y)

bubs = 100

x = np.random.rand(bubs)
y = np.random.rand(bubs)

colors = plt.cm.jet(np.random.rand(bubs))

plt.scatter(x,y,color=colors)

bubs = 100

x = np.random.rand(bubs)
y = np.random.rand(bubs)

colors = plt.cm.jet(np.random.rand(bubs))
sizes = 2*np.pi*(20*np.random.rand(bubs))**2 # Area of markers

plt.scatter(x,y,color=colors,s=sizes)

bubs = 100

x = np.random.rand(bubs)
y = np.random.rand(bubs)

colors = plt.cm.jet(np.random.rand(bubs))
sizes = 2*np.pi*(20*np.random.rand(bubs))**2 # Area of markers

plt.scatter(x,y, color=colors, s=sizes, alpha=0.4, lw=0)

bubs = 100
cm = plt.cm.terrain

x = 2*np.pi*np.arange(bubs)/float(bubs)
y = 100*sin(x)
colors = cm(x/x.max())
sizes = np.pi*(8*(x+1))**2

plt.scatter(x, y, color=colors, s=sizes , alpha=0.4, edgecolor='w',lw=3)

bubs = 100
cm = plt.cm.terrain

x = 2*np.pi*np.arange(bubs)/float(bubs)
y = 100*sin(x)
colors = cm(np.random.rand(bubs))
sizes = np.pi*(8*(x+1))**2

plt.scatter(x, y, color=colors, s=sizes , alpha=0.4, edgecolor='w',lw=3)

bubs = 100
cm = plt.cm.brg

x = 2*np.pi*np.arange(bubs)/float(bubs)
y = 100*sin(x)
colors = cm(np.random.rand(bubs))
sizes = np.pi*(8*(x+1))**2

plt.scatter(x, y, color=colors, s=sizes , alpha=0.4, edgecolor='w',lw=3)

bubs = 100
cm = plt.cm.terrain

x = 2*np.pi*np.arange(bubs)/float(bubs)
y = 100*sin(x)
colors = cm(np.random.rand(bubs))
sizes = np.pi*(10*np.random.rand(bubs))**2

plt.scatter(x, y, color=colors, s=sizes , alpha=0.5, edgecolor='w',lw=3)

# Spiral
num_points = 200
p = linspace(0,10*np.pi,num_points)

x = 10*p*sin(p)
y = 10*p*cos(p)

p1 = np.log(1+p/10)
colors = cm(np.append(p1[:99],p1[99::-1]))
sizes = 5*p*2*np.pi*(0.5+2*np.random.rand(num_points))**2

plt.scatter(x,y, color=colors, s=sizes, alpha=0.5, edgecolor='k', linewidth=0)