Python数据可视化图实现过程详解

我就是我 2023-02-18 08:24 8阅读 0赞

Python数据可视化图实现过程详解

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python画分布图代码示例：

# 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 #