import matplotlib.pyplot as plt
import numpy as np
ax = plt.subplot(111)
t1 = np.arange(0.0, 1.0, 0.01)
for n in [1, 2, 3, 4]:
plt.plot(t1, t1**n, label="n=%d"%(n,))
leg = plt.legend(loc='best', ncol=2, mode="expand", shadow=True, fancybox=True)
leg.get_frame().set_alpha(0.5)
plt.show()