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. 

簡單來說就是數據可視化工具。

下面介紹一下MatPlotLib的基本圖形畫法：

1.散點圖：

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)#散點圖繪制函數plt.show()
2.折線圖：
import numpy as npimport matplotlib.pyplot as pltimport matplotlib.dates as mdatesx=np.linspace(-10,10,6)y=x**2plt.plot(x,y) #plot函數本身就是繪線函數plt.show()
3.條線圖：
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') #繪制條形圖函數plt.show()
4.直方圖：
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)#繪制直方圖函數plt.show()
5.餅狀圖
import matplotlib.pyplot as pltfrom matplotlib.gridspec import GridSpeclabels = 'A', 'B', 'C', 'D'fracs = [15, 30, 45, 10]explode = (0, 0.05, 0, 0) #設置其中第二塊與主餅分開0.05plt.axes(aspect=1) #使餅狀圖為正圓plt.pie(fracs, explode=explode, labels=labels, autopct='%.0f%%', shadow=True) #繪制餅圖函數plt.show()
6. 箱型圖
import numpy as npimport matplotlib.pyplot as pltdata = np.random.normal(size=(100, 4), loc=0.0, scale=1.5) #產生四組數據labels = ['A','B','C','D']plt.boxplot(data, labels=labels, sym='o') #箱型圖繪制函數plt.show()感覺比matlab的繪圖功能強大不少啊！(我對matlab知之甚少，大牛不要怼我啊！)