python通过文本在一个图中画多条线的实例
废话不多说，直接上代码吧！
importmatplotlib.pyplotasplt
importnumpyasnp
data1=np.loadtxt('/data_1/SSD/caffe/tools/extra/DSOD300_VOC0712_DSOD300_300x300.log.test')
data2=np.loadtxt('/data_1/SSD/caffe/tools/extra/DSOD300_VOC0712_DSOD300_300x300.log.train')
plt.title('ResultAnalysis')
plt.plot(data1[:,0],data1[:,2],color='skyblue',label='y1')
plt.plot(data2[:,0],data2[:,3],color='blue',label='y2')
plt.legend()
plt.xlabel('x')
plt.ylabel('y')
plt.show()
结果：
加一些不同形式的线
importmatplotlib.pyplotasplt
importnumpyasnp
data1=np.loadtxt('/data_1/project_test/teest1.txt')
data2=np.loadtxt('/data_1/project_test/teest2.txt')
data3=np.loadtxt('/data_1/project_test/teest3.txt')
plt.title('ResultAnalysis')
plt.plot(data1[:,0],data1[:,1],color='skyblue',label='y1',ls='-.')#ls或linestyle
plt.plot(data2[:,0],data2[:,1],color='green',label='y2',ls=':')
plt.plot(data3[:,0],data3[:,1],color='red',label='y3',ls='steps')
plt.legend()
plt.xlabel('x')
plt.ylabel('y')
plt.show()
加标记
importmatplotlib.pyplotasplt
importnumpyasnp
data1=np.loadtxt('/data_1/project_test/teest1.txt')
data2=np.loadtxt('/data_1/project_test/teest2.txt')
data3=np.loadtxt('/data_1/project_test/teest3.txt')
plt.title('ResultAnalysis')
plt.plot(data1[:,0],data1[:,1],color='skyblue',label='y1',ls='-.',marker='*')
plt.plot(data2[:,0],data2[:,1],color='green',label='y2',ls=':',marker='+')
plt.plot(data3[:,0],data3[:,1],color='red',label='y3',ls='steps',marker='D')
plt.legend()
plt.xlabel('x')
plt.ylabel('y')
plt.show()
总结：
linestyleorls：实线'-'，破折线'--',点划线'-.'，虚线':'
plt.plot()参数设置
PropertyValueType
alpha控制透明度，0为完全透明，1为不透明
animated[TrueFalse]
antialiasedoraa[TrueFalse]
clip_boxamatplotlib.transform.Bboxinstance
clip_on[TrueFalse]
clip_pathaPathinstanceandaTransforminstance,aPatch
colororc颜色设置
containsthehittestingfunction
dash_capstyle[‘butt'‘round'‘projecting']
dash_joinstyle[‘miter'‘round'‘bevel']
dashessequenceofon/offinkinpoints
data数据(np.arrayxdata,np.arrayydata)
figure画板对象amatplotlib.figure.Figureinstance
label图示
linestyleorls线型风格[‘-'‘–'‘-.'‘:'‘steps'…]
linewidthorlw宽度floatvalueinpoints
lod[TrueFalse]
marker数据点的设置[‘+'‘,'‘.'‘1'‘2'‘3'‘4']
markeredgecolorormecanymatplotlibcolor
markeredgewidthormewfloatvalueinpoints
markerfacecolorormfcanymatplotlibcolor
markersizeormsfloat
markevery[Noneinteger(startind,stride)]
pickerusedininteractivelineselection
pickradiusthelinepickselectionradius
solid_capstyle[‘butt'‘round'‘projecting']
solid_joinstyle[‘miter'‘round'‘bevel']
transformamatplotlib.transforms.Transforminstance
visible[TrueFalse]
xdatanp.array
ydatanp.array
zorderanynumber
补充拓展：python画直线和平面实例
画直线
frommpl_toolkits.axisartist.axislinesimportSubplotZero
importmatplotlib.pyplotasplt
importnumpyasnp
fig=plt.figure(1)
ax=SubplotZero(fig,111)
fig.add_subplot(ax)
fordirectionin["xzero","yzero"]:
#addsarrowsattheendsofeachaxis
ax.axis[direction].set_axisline_style("-|>")
#addsXandY-axisfromtheorigin
ax.axis[direction].set_visible(True)
fordirectionin["left","right","bottom","top"]:
#hidesborders
ax.axis[direction].set_visible(False)
plt.text(-2,2,r"y=kx+b",
horizontalalignment='center',fontsize=20)
x=np.linspace(-2,2,100)
k=-1
b=0
y=k*x+b
ax.plot(x,y)
plt.show()
画平面
importmatplotlib.pyplotasplt frommatplotlibimportcm importnumpyasnp fig=plt.figure() ax=fig.gca(projection='3d') #Makedata. X=np.arange(-5,5,0.25) Y=np.arange(-5,5,0.25) X,Y=np.meshgrid(X,Y) a1=2 a2=1 Z=a1*X+a2*Y #Plotthesurface. surf=ax.plot_surface(X,Y,Z,cmap=cm.Blues, linewidth=0,antialiased=False) ax.set_xlabel(r'$x_1$',fontsize=20,color='blue') ax.set_ylabel(r'$x_2$',fontsize=20,color='blue') ax.set_zlabel(r'$x_3$',fontsize=20,color='blue')
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