twinx()方法绘制 second_plot = ax.twinx() second_plot.set_ylim(bottom=-3,top=43) second_plot.set_yticks(np.arange(0, 50, step=10)) second_plot.set_xticks(np.arange(-.5, 8, step=.5)) second_plot.tick_params(left=False,bottom=False,labelbottom=False,labelsize=10,colors='k') ...
ax.set_yticks(y_interval) # 设置 y 范围 ax.set_ylim((minv, 84)) # 线型的标签绘制, loc 控制位置, prop 控制字体 # ax.legend(loc = 'lower right', prop=font1) # 坐标轴字体设置 labels = ax.get_xticklabels() + ax.get_yticklabels() [label.set_fontname('Times New Roman') for...
ax2.yaxis.set_ticks_position('left') #将数值刻度移动到左侧 ax2.tick_params(labelsize=10,left=True,right=True) #修改刻度样式,并使左右都有刻度 ax3=ax2.secondary_yaxis('right') #新建ax3,使ax3与ax2完全相同ax3.spines['right'].set_bounds(900,1900) #截去多余的部分ax3.set_yticks([900,110...
ax.set_ylim(bottom=-3,top=43)#设置轴范围 ax.set_yticks(np.arange(0, 45, step=5)) #设置刻度标签 ax.set_xticks(np.arange(-.5, 8, step=.5)) #添加横线(修饰) ax.axhline(y=0,color='#45627C',lw=3) #添加数字标签 label_text = {"size":13,"color":"k",'weight':'semibold'...
ax2.set_yticks(np.arange(40, 40.5, 0.5), crs=proj) ax2.xaxis.set_major_formatter(LongitudeFormatter()) ax2.yaxis.set_major_formatter(LatitudeFormatter()) # 添加文字 plt.rcParams['font.family'] = 'Microsoft YaHei' ax1.text(115.7, 39.7, r'房山区', fontsize=10) ...
ax.set_yticks([-1,-0.5,0,0.5,1]) ax.set_xlim([-5,8])# ax.set_xticks([-5,5,1])#设置网格样式ax.grid(True, linestyle='-.') xx = np.arange(-4,2*np.pi,0.01) ax.plot(xx, np.sin(xx))# 于 offset 处新建一条纵坐标offset = (40,0) ...
ax2.set_ylabel('Bn(T)')#plt.style.use('seaborn-paper')#ax1.set_xticks(range(10,len(By)+10),10) # 设置x轴的刻度#ax2.xaxis.set_ticks_position('top')#ax2.yaxis.tick_right()#ax1.legend(loc='upper left')#ax2.legend(loc='upper right')plt.grid() ...
set_yticks(np.arange(-20,76,15), crs=ccrs.PlateCarree()) ax.tick_params(color = 'gray',direction='in',length=1,labelsize=3) c = ax.contourf(data['XLONG'][0],data['XLAT'][0],(TSK_mean_space[0]+TSK_mean_space[1]+TSK_mean_space[2])/3.0,levels=np.arange(240,320,2),...
import matplotlib.pyplot as pltfig,ax=plt.subplots(1,2,dpi=300)ax[0].text(0.3,0.5,"1st Subplot")ax[0].set_xticks([])ax[0].set_yticks([])ax[1].text(0.3,0.5,"2nd Subplot")ax[1].set_xticks([])ax[1].set_yticks([])fig.suptitle('Figure with 2 subplots',fontsize=16)plt.sh...
ax2 = ax1.twinx()#关键代码2 plt second data set using second(right) axisplt.plot(y[:,1],'g', lw =1.5, label ='2nd') plt.plot(y[:,1],'ro') plt.legend(loc =0) plt.ylabel('value 2nd') plt.show() 4.使用两个子图(上下,左右)plt.subplot(211) ...