Python数据可视化图像库MatPlotLib基本图像操作

什么是MatPlotLib？

    Matplotlib is a Python 2D plotting library which PRoduces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. 

简单来说就是数据可视化工具。

下面介绍一下MatPlotLib的基本图形画法：

1.散点图：

import numpy as npimport matplotlib.pyplot as pltheight=[161,170,182,175,173,165]weight=[50,58,80,70,69,55]plt.scatter(height,weight,s=200)#散点图绘制函数plt.show()
2.折线图：
import numpy as npimport matplotlib.pyplot as pltimport matplotlib.dates as mdatesx=np.linspace(-10,10,6)y=x**2plt.plot(x,y) #plot函数本身就是绘线函数plt.show()
3.条线图：
import numpy as npimport matplotlib.pyplot as pltN=5y=[20,10,30,25,15]index = np.arange(N)p1 = plt.bar(left=index, height=y,width=0.5,bottom=100,color='red') #绘制条形图函数plt.show()
4.直方图：
import numpy as npimport matplotlib.pyplot as pltmu = 100  # 均值sigma = 20  # 方差x = mu + sigma * np.random.randn(2000)plt.hist(x, bins=100,color='red',normed=True)#绘制直方图函数plt.show()
5.饼状图
import matplotlib.pyplot as pltfrom matplotlib.gridspec import GridSpeclabels = 'A', 'B', 'C', 'D'fracs = [15, 30, 45, 10]explode = (0, 0.05, 0, 0) #设置其中第二块与主饼分开0.05plt.axes(aspect=1) #使饼状图为正圆plt.pie(fracs, explode=explode, labels=labels, autopct='%.0f%%', shadow=True) #绘制饼图函数plt.show()
6. 箱型图
import numpy as npimport matplotlib.pyplot as pltdata = np.random.normal(size=(100, 4), loc=0.0, scale=1.5) #产生四组数据labels = ['A','B','C','D']plt.boxplot(data, labels=labels, sym='o') #箱型图绘制函数plt.show()感觉比matlab的绘图功能强大不少啊！(我对matlab知之甚少，大牛不要怼我啊！)