使用Python绘制图表大全总结

importmatplotlib.pyplotaspltimportnumpyasnpmu=100sigma=20x=mu+sigma*np.random.randn(20000)# 样本数量plt.hist(x,bins=100,color='green',normed=True)# bins显示有几个直方,normed是否对数据进行标准化plt.show()

importmatplotlib.pyplotaspltimportnumpyasnpy=[20,10,30,25,15]index=np.arange(5)plt.bar(left=index,height=y,color='green',width=0.5)plt.show()

importmatplotlib.pyplotaspltimportnumpyasnpx=np.linspace(-10,10,100)y=x**3plt.plot(x,y,linestyle='--',color='green',marker='<p></p><p>散点图</p><p class="jb51code"></p><pre class="brush:py;">importmatplotlib.pyplotaspltimportnumpyasnpx=np.random.randn(1000)y=x+np.random.randn(1000)*0.5plt.scatter(x,y,s=5,marker='<p></p><p>饼状图</p><p class="jb51code"></p><pre class="brush:py;">importmatplotlib.pyplotaspltimportnumpyasnplabels='A','B','C','D'fracs=[15,30,45,10]plt.axes(aspect=1)#使x y轴比例相同explode=[0,0.05,0,0]# 突出某一部分区域plt.pie(x=fracs,labels=labels,autopct='%.0f%%',explode=explode)#autopct显示百分比plt.show()

importmatplotlib.pyplotaspltimportnumpyasnpnp.random.seed(100)data=np.random.normal(size=(1000,4),loc=0,scale=1)labels=['A','B','C','D']plt.boxplot(data,labels=labels)plt.show()

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importmatplotlib.pyplotaspltimportnumpyasnpx=np.arange(1,100)plt.subplot(221)#2行2列第1个图plt.plot(x,x)plt.subplot(222)plt.plot(x,-x)plt.subplot(223)plt.plot(x,x*x)plt.subplot(224)plt.plot(x,np.log(x))plt.show()

importmatplotlib.pyplotaspltimportnumpyasnpy=np.arange(1,5)plt.plot(y,y*2)plt.grid(True,color='g',linestyle='--',linewidth='1')plt.show()

importmatplotlib.pyplotaspltimportnumpyasnpx=np.arange(1,11,1)plt.plot(x,x*2)plt.plot(x,x*3)plt.plot(x,x*4)plt.legend(['Normal','Fast','Faster'])plt.show()