python数据可视化实现步骤,Python数据可视化图实现过程详
解
Python数据可视化图实现过程详解
python画分布图代码⽰例：good的比较级和最高级
# encoding=utf-8
import matplotlib.pyplot as plt
from pylab import * # ⽀持中⽂
‘mentioned0cluster’,
names = [‘mentioned1cluster’,‘mentioned2cluster’, ‘mentioned3cluster’, ‘mentioned4cluster’,真成
‘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.margins(0)
plt.subplots_adjust(bottom=0.15)图片加密>近视眼的防治
plt.xlabel(u"time(s)邻居") # X轴标签
柳色plt.xlabel(“clusters”)
妈妈买绿豆
plt.ylabel(“number of reviews”) # Y轴标签
plt.title(“A simple plot”) # 标题
消防管理员
plt.show()
效果如下：
python画分布图的思路：
爵位等级先在列表中定义分布图x、y轴的数值，然后使⽤plt.plot()⽅法即可将分布图绘制出来。以上就是本⽂的全部内容，希望对⼤家的学习有所帮助，也希望⼤家多多
