ax.xaxis.set_ticks_position('bottom') #设置边框位置 ax.spines['bottom'].set_position(('data', 0)) ax.yaxis.set_ticks_position('left') ax.spines['left'].set_position(('data',0)) plt.show() 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. matplotlib.pyplot.text(x, y, s,...
deftickline():plt.xlim(0,10),plt.ylim(-1,1),plt.yticks([])ax=plt.gca()ax.spines['right'].set_color('none')ax.spines['left'].set_color('none')ax.spines['top'].set_color('none')ax.xaxis.set_ticks_position('bottom')ax.spines['bottom'].set_position(('data',0))ax.yaxis....
fig,ax=plt.subplots()x=np.linspace(0,10,100)y=np.sin(x)ax.plot(x,y)ax.set_xlabel('X轴 - how2matplotlib.com')ax.set_ylabel('Y轴 - how2matplotlib.com')plt.title('调整坐标轴系统位置 - how2matplotlib.com')plt.subplots_adjust(left=0.2,right=0.9,top=0.9,bottom=0.2)plt.show() Py...
ax.spines["top"].set_color("none") ax.xaxis.set_ticks_position("bottom") ax.yaxis.set_ticks_position("left") ax.spines["bottom"].set_position(('data',0)) ax.spines['left'].set_position(('data',0)) plt.plot(x,y1) plt.plot(x,y2,color = "red",linewidth=2.0,linestyle="--...
ax.xaxis.set_ticks_position('bottom')#设置坐标轴位置 ax.yaxis.set_ticks_position('left')#设置坐标轴位置 ax.spines['bottom'].set_position(('data',0))#绑定坐标轴位置,data为根据数据自己判断 ax.spines['left'].set_position(('data',0))plt.plot(x,y1,linestyle='--')plt.plot(x,y2)plt...
position,位置,(x, y) rotation,旋转,[ angle in degrees | 'vertical' | 'horizontal' ] size or fontsize,字体大小,[ size in points | relative size, e.g., 'smaller', 'x-large' ] style or fontstyle,字体风格,[ 'normal' | 'italic' | 'oblique' ] ...
plt.title(r"$a$") plt.scatter(x, y, marker="+", color="b") ax2= plt.subplot(222) ax2.spines["right"].set_color("none") ax2.spines["top"].set_color("none") ax2.xaxis.set_ticks_position("bottom") ax2.set_xlim(-2*np.pi, 2*np.pi) ...
ax.spines['bottom'].set_position(('data', 0)) plt.show() ax.yaxis.set_ticks_position('left') ax.spines['left'].set_position(('data',0)) plt.show() Legend 图例 添加图例 调整位置和名称 添加图例: import matplotlib.pyplot as plt ...
fig.subplots_adjust(bottom=0.15, left=0.2) ax.plot(x1, y1) ax.set_xlabel('time [s]', position=(0.2, 1e6), # 位置,坐标轴总长的比例 horizontalalignment='left') # 对齐方式,左对齐,右对齐 ax.set_ylabel('Damped oscillation [V]') ...
ax.spines.right.set_visible(False)ax.spines.bottom.set_visible(False) 1. 2. 还有另一种经常使用的情况,根据绘图需要,调整 spines 轴线在图中位置。如绘制正余弦函数时: 移动轴线 复制 # 移动 left 和 bottom spines 到 (0,0) 位置ax.spines["left"].set_position(("data",0))ax.spines["bottom"...