pyplot饼图的绘制
代码：
import matplotlib.pyplot as pltlabels = 'Frogs','Hogs','Dogs','Logs' #各部分的标签sizes = [15,30,45,10] #各部分的大小，共100explode = (0,0.1,0,0) #Hogs分离的距离plt.pie(sizes,explode = explode,labels = labels,autopct = '%1.1f%%',\shadow = False,startangle = 90)plt.axis('equal') #使饼图成为一个正圆plt.show()
结果图：
pyplot直方图的绘制
代码：
import numpy as npimport matplotlib.pyplot as pltnp.random.seed(0) #生成随机数，0为种子mu,sigma = 100,20 #均值和标准差a = np.random.normal(mu,sigma,size=100)plt.hist(a,20, normed=1, histtype = 'stepfilled', facecolor='b',alpha=0.75)#bin:20是直方图的个数#normed : boolean, optional(?)是否将得到的直方图向量归一化#histtype : {‘bar’, ‘barstacked’, ‘step’, ‘stepfilled’},optional(选择展示的类型,默认为bar)#alpha:透明度，0为全透明，1为不透明plt.title('Histogram')plt.show()
具体pyplot.hist函数 参数详见： /lmj_2529980619/article/details/86063752
pyplot极坐标图的绘制
代码：
import numpy as npimport matplotlib.pyplot as pltN = 20theta = np.linspace(0.0,2*np.pi,N,endpoint=False)radii = 10 * np.random.rand(N)width = np.pi / 4* np.random.rand(N)ax = plt.subplot(111,projection='polar')bars = ax.bar(theta, radii,width=width,bottom=0.0)for r,bar in zip(radii,bars):bar.set_facecolor(plt.cm.viridis(r / 10))bar.set_alpha(0.5)plt.show()
结果图：
pyplot散点图的绘制
import numpy as npimport matplotlib.pyplot as pltfig,ax = plt.subplots()ax.plot(10*np.random.randn(100),10*np.random.randn(100),'o')ax.set_title('Simple Scatter')plt.show()
结果图：
动态绘制极坐标图：
/for_dream1205/article/details/98953843?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-3.nonecase&depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-3.nonecase
