# Red for Halton sequence # Green for normal random numbers # Blue for points on a hypersphere ax1.plot(x[0], x[1], 'o', color=(1,0,0)) ax1.plot(xn[0], xn[1], 'o', color=(0,1,0)) ax1.plot(xs[0], xs[1], 'o', color=(0,0,1)) ii+=1 if mskips>0: print "# of skipped points due to s>=1 :", mskips if rskips>0: print "# of skipped points due to small r:", rskips ax1.set_xlim(-1.2, 1.2) ax1.set_ylim(-1.2, 1.2) ax1.grid(True) ax1.hold(False) # Draw figure on screen pyopl.draw(f1) # Unlock GUI pyopl.lock(False) # Handle keyboard interrupts properly. pyopl.join()
# Red for Halton sequence
# Green for normal random numbers
# Blue for points on a hypersphere
ax1.plot(x[0], x[1], 'o', color=(1, 0, 0))
ax1.plot(xn[0], xn[1], 'o', color=(0, 1, 0))
ax1.plot(xs[0], xs[1], 'o', color=(0, 0, 1))
ii += 1
if mskips > 0:
print "# of skipped points due to s>=1 :", mskips
if rskips > 0:
print "# of skipped points due to small r:", rskips
ax1.set_xlim(-1.2, 1.2)
ax1.set_ylim(-1.2, 1.2)
ax1.grid(True)
ax1.hold(False)
# Draw figure on screen
pyopl.draw(f1)
# Unlock GUI
pyopl.lock(False)
# Handle keyboard interrupts properly.
pyopl.join()