python怎么画出分布图?

# encoding=utf-8

import matplotlib.pyplot as plt

from pylab import *  # 支持中文

mpl.rcParams['font.sans-serif'] = ['SimHei']

# 'mentioned0cluster',

names = ['mentioned1cluster','mentioned2cluster', 'mentioned3cluster', 'mentioned4cluster', 'mentioned5cluster', 'mentioned6cluster', 'mentioned7cluster', 'mentioned8cluster', 'mentioned9cluster', 'mentioned10cluster']

x = range(len(names))

# y_0625 = [39266,56796,42996,24872,13849,8609,5331,1971,554,169,26]

y_0626_1=[4793,100,0,0,0,0,0,0,0,0]

# y_0626_2=[2622,203,0,0,0,0,0,0,0,0,0]

# plt.plot(x, y, 'ro-')

# plt.plot(x, y1, 'bo-')

# pl.xlim(-1, 11) # 限定横轴的范围

# pl.ylim(-1, 110) # 限定纵轴的范围

plt.plot(x, y_0626_1, marker='o', mec='r', mfc='w', label='HighRating:MentionedClusterNum Distribution')

# plt.plot(x, y_0626_2, marker='o', mec='r', mfc='w', label='LowRating:MentionedClusterNum Distribution')

# plt.plot(x, y1, marker='*', ms=10, label=u'y=x^3曲线图')

plt.legend()  # 让图例生效

plt.xticks(x, names, rotation=45)

plt.margins(0)

plt.subplots_adjust(bottom=0.15)

# plt.xlabel(u"time(s)邻居")  # X轴标签

plt.xlabel("clusters")

plt.ylabel("number of reviews")  # Y轴标签

plt.title("A simple plot")  # 标题

plt.show()