Make cover go now

cover.py

%pylab
import scipy.stats as stats

print "Best to use custom matplotlibrc located in /styles directory of BMH project."

figure( figsize= ( 8, 11 ) )

#means = np.random.uniform( -4, 4, size = 5 )
means = np.array([ 3.90933614, -1.15148996,  1.70045292, -3.27613385, -0.71058847])

std = [0.5, .3, 1, .7, 2]
#params = [ (0, 0.5), (3, .3), (2,1), (-3, .7 ), (-1, 2 ) ]
params = zip( means, std )
x = np.linspace(-5, 5, 250 )
norm = stats.norm
N = 1500
colors = ["#348ABD", "#A60628", "#7A68A6", "#467821","#D55E00"]

i=0
for m, s in params:
    y = norm.pdf( x, m ,scale = s )
    plot( x, y, lw = 6, alpha = 0.8)
    
    plt.scatter(norm.rvs(m ,scale = 1.1*s, size = N ), 1.5*np.random.beta(1,9*s,N) , c = colors[i], alpha = .2, s = 50 )
    i+=1
    

    
plt.text( 4.9,1.27, "Probabilistic Programming &\nBayesian Methods \nfor Hackers",
         fontsize=30, alpha = 0.4, horizontalalignment = "right" )
plt.text( 4.9,1.27, "\nBayesian Methods \nfor Hackers",
         fontsize=30, alpha = 0.5, horizontalalignment = "right" )
#plt.xticks([])
plt.yticks(np.linspace(0, 1.5, 6), 6*[""])
plt.xticks(np.linspace(-5, 5, 10), 10*[""]);
xlim(-5,5)
ylim( .007,1.5)

plt.savefig( "cover.png", bbox_inches = "tight", pad_inches=0 )