def _histogram(self, which, mu, sigma, data):
weights = np.ones_like(data)/len(data) <EOL>n, bins, patches = plt.hist(data, bins=<NUM_LIT>, weights=weights, facecolor='<STR_LIT>', alpha=<NUM_LIT:0.5>)<EOL>plt.title(r'<STR_LIT>' % (self.name, which.capitalize(), mu, sigma))<EOL>plt.xlabel('<STR_LIT>' if which == '<STR_LIT:count>' else '<STR_LIT>')<EOL>plt.ylabel('<STR_LIT>')<EOL>plt.gca().yaxis.set_major_formatter(FuncFormatter(lambda y, position: "<STR_LIT>".format(y*<NUM_LIT:100>)))<EOL>
plot a histogram. For internal use only