def plot_dist_normal(s, mu, sigma):
import matplotlib.pyplot as plt<EOL>count, bins, ignored = plt.hist(s, <NUM_LIT:30>, normed=True)<EOL>plt.plot(bins, <NUM_LIT:1>/(sigma * np.sqrt(<NUM_LIT:2> * np.pi))* np.exp( - (bins - mu)**<NUM_LIT:2> / (<NUM_LIT:2> * sigma**<NUM_LIT:2>) ),linewidth = <NUM_LIT:2>, color = '<STR_LIT:r>')<EOL>plt.show()<EOL>
plot distribution