python编程从入门到实践-p286matplotlib安装及数据可视化

python编程从入门到实践-p286安装matplotlib
教程 https://blog.youkuaiyun.com/Jia_jinjin/article/details/80428598

下一步，先进python环境

15.2绘制简单折线图

import matplotlib.pyplot as plt
squares = [1,4,9,16,25]
plt.plot(squares)
plt.show()

15.2.1

python数据分析与展示-Matplotlib基础https://blog.youkuaiyun.com/weixin_40793311/article/details/89669287

import matplotlib.pyplot as plt
squares = [1,4,9,16,25]
plt.plot(squares,linewidth = 5)
plt.title("title",fontsize = 24)
plt.xlabel("xlabel",fontsize = 14)
plt.ylabel("ylabel",fontsize = 14)
plt.tick_params(axis = 'both',labelsize = 14)
plt.show()

15.2.2矫正图形

import matplotlib.pyplot as plt

input_values = [1,2,3,4,5]
squares = [1,4,9,16,25]
plt.plot(input_values,squares,linewidth = 5)
plt.title("title",fontsize = 24)
plt.xlabel("xlabel",fontsize = 14)
plt.ylabel("ylabel",fontsize = 14)
plt.tick_params(axis = 'both',labelsize = 14)
plt.show()

15.2.3散点图

import matplotlib.pyplot as plt

plt.scatter(2,4)#坐标
plt.show()

import matplotlib.pyplot as plt

plt.scatter(2,4,s = 2000)#s是点的大小 
plt.title("title",fontsize = 24)
plt.xlabel("xlabel",fontsize = 14)
plt.ylabel("ylabel",fontsize = 14)
plt.tick_params(axis = 'both',which = 'major',labelsize = 14)

plt.show()

15.2.4散点图

import matplotlib.pyplot as plt

x_values = [1,2,3,4,5]
y_values = [1,4,9,16,25]

plt.scatter(x_values,y_values,s = 100) 
plt.title("title",fontsize = 24)
plt.xlabel("xlabel",fontsize = 14)
plt.ylabel("ylabel",fontsize = 14)
plt.tick_params(axis = 'both',which = 'major',labelsize = 14)

plt.show()

15.2.5自动计算

import matplotlib.pyplot as plt

x_values = list(range(1,1001))
y_values = [x**2 for x in x_values]

plt.scatter(x_values,y_values,s = 10) 
plt.title("title",fontsize = 20)
plt.xlabel("xlabel",fontsize = 14)
plt.ylabel("ylabel",fontsize = 14)
plt.tick_params(axis = 'both',which = 'major',labelsize = 14)
plt.axis([0,1100,0,1100000])

plt.show()

实际上，是散点组成的。

edgecolor = 'none'没看到有何差别。

15.2.7自定义颜色

import matplotlib.pyplot as plt

x_values = list(range(1,1001))
y_values = [x**2 for x in x_values]

#plt.scatter(x_values,y_values,c='red',edgecolor = 'none',s = 10) 
plt.scatter(x_values,y_values,c=(0.8,1,1),edgecolor = 'none',s = 10) 
plt.title("title",fontsize = 20)
plt.xlabel("xlabel",fontsize = 14)
plt.ylabel("ylabel",fontsize = 14)
plt.tick_params(axis = 'both',which = 'major',labelsize = 14)
plt.axis([0,1100,0,1100000])

plt.show()

15.2.8颜色映射

import matplotlib.pyplot as plt

x_values = list(range(1,1001))
y_values = [x**2 for x in x_values]
 
plt.scatter(x_values,y_values,c=y_values,cmap = plt.cm.Blues,edgecolor = 'none',s = 10) 
plt.title("title",fontsize = 20)
plt.xlabel("xlabel",fontsize = 14)
plt.ylabel("ylabel",fontsize = 14)
plt.tick_params(axis = 'both',which = 'major',labelsize = 14)
plt.axis([0,1100,0,1100000])

plt.show()

15.2.9自动保存图表到原文件夹

import matplotlib.pyplot as plt

x_values = list(range(1,1001))
y_values = [x**2 for x in x_values]
 
plt.scatter(x_values,y_values,c=y_values,cmap = plt.cm.Blues,edgecolor = 'none',s = 10) 
plt.title("title",fontsize = 20)
plt.xlabel("xlabel",fontsize = 14)
plt.ylabel("ylabel",fontsize = 14)
plt.tick_params(axis = 'both',which = 'major',labelsize = 14)
plt.axis([0,1100,0,1100000])

plt.savefig('squares_plot.png',bbox_inches = 'tight')
# plt.show()