python用matplotlib画折线图

2019年6月16日 248次阅读 来源: 庆CP3

折线图：
import matplotlib.pyplot as plt
y1=[10,13,5,40,30,60,70,12,55,25]
x1=range(0,10)
x2=range(0,10)
y2=[5,8,0,30,20,40,50,10,40,15]
plt.plot(x1,y1,label='Frist line',linewidth=3,color='r',marker='o',
markerfacecolor='blue',markersize=12)
plt.plot(x2,y2,label='second line')
plt.xlabel('Plot Number')
plt.ylabel('Important var')
plt.title('Interesting Graph\nCheck it out')
plt.legend()
plt.show()

《python用matplotlib画折线图》

条形图

import matplotlib.pyplot as plt
y1=[10,13,5,40,30,60,70,12,55,25]
x1=range(0,20,2)
x2=range(1,21,2)
y2=[5,8,0,30,20,40,50,10,40,15]
plt.bar(x1,y1,label='Frist line')
#plt.bar(x2,y2,label='second line',color='r')
plt.xlabel('Plot Number')
plt.ylabel('Important var')
plt.title('Interesting Graph\nCheck it out')
plt.legend()
plt.show()

《python用matplotlib画折线图》

直方图：

import matplotlib.pyplot as plt
population_ages = [22,55,62,45,21,22,34,42,42,4,99,102,
                   110,120,121,122,130,111,115,112,80,75,
                   65,54,44,43,42,48]
x=range(0,130,10)
plt.hist(population_ages,x,rwidth=0.8,color='r',histtype='stepfilled')

plt.xlabel('Plot Number')
plt.ylabel('Important var')
plt.title('Interesting Graph\nCheck it out')
plt.legend()
plt.show()

《python用matplotlib画折线图》

散点图：

import matplotlib.pyplot as plt
population_ages = [22,55,62,45,21,22,34,42,42,4,99,102,
                   110,120,121,122,130,111,115,112,80,75,
                   65,54,44,43,42,48]
x=range(0,len(population_ages))
plt.scatter(x,population_ages,label='frist label',s=20)
help(plt.scatter)
plt.xlabel('x')
plt.ylabel('y')
plt.title('Interesting Graph\nCheck it out')
plt.legend()
plt.show()

《python用matplotlib画折线图》

    原文作者：庆CP3
    原文地址: https://blog.csdn.net/hecongqing/article/details/55522276
    本文转自网络文章，转载此文章仅为分享知识，如有侵权，请联系博主进行删除。
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