我在一个图上有多个图.我想为每个结果添加颜色条.这些颜色条必须与我的结果具有相同的高度,我想将颜色条上显示的数字限制为3个值(以使图形可读).

我的代码是：

fig, axes = plt.subplots(nrows=1, ncols=3)

plt.tight_layout(pad=0.5, w_pad=2.5, h_pad=2.0)
ax1 = plt.subplot(131) # creates first axis
ax1.set_xticks([0,2000,500,1000,1500])
ax1.set_yticks([0,2000,500,1000,1500])
ax1.imshow(U,cmap='hot',extent=(X.min(),2000,Y.min(),2000))
ax1.set_title("$\mathrm{Ux_{mes} \/ (pix)}$")
ax2 = plt.subplot(132) # creates second axis
ax2.set_xticks([0,2000,500,1000,1500])
ax2.set_yticks([0,2000,500,1000,1500])
ax2.imshow(UU,cmap='hot',extent=(X.min(),2000,Y.min(),2000))
ax2.set_title("$\mathrm{Ux_{cal} \/ (pix)}$")
ax3 = plt.subplot(133) # creates first axis
ax3.set_xticks([0,2000,500,1000,1500])
ax3.set_yticks([0,2000,500,1000,1500])
ax3.imshow(resU,cmap='hot',extent=(X.min(),2000,Y.min(),2000))
ax3.set_title("$\mathrm{\mid Ux - Ux \mid \/ (pix)}$")
plt.show()

我尝试添加：“ fig.colorbar(U,axes = ax1,fraction = 0.046,pad = 0.04)”,但是它不起作用…

解决方法:

在回答@plonser之后,

tick = np.linspace(min(your_variable),max(your_variable),3)

plt.tight_layout(pad=0.5, w_pad=2.5, h_pad=2.0)
ax1 = plt.subplot(131) # creates first axis
ax1.set_xticks([0,2000,500,1000,1500])
ax1.set_yticks([0,2000,500,1000,1500])
i1 = ax1.imshow(U,cmap='hot',extent=(X.min(),2000,Y.min(),2000))
plt.colorbar(i1,ax=ax1,ticks=tick)

ax1.set_title("$\mathrm{Ux_{mes} \/ (pix)}$")
ax2 = plt.subplot(132) # creates second axis
ax2.set_xticks([0,2000,500,1000,1500])
ax2.set_yticks([0,2000,500,1000,1500])
i2=ax2.imshow(UU,cmap='hot',extent=(X.min(),2000,Y.min(),2000))
ax2.set_title("$\mathrm{Ux_{cal} \/ (pix)}$")
plt.colorbar(i2,ax=ax2,ticks=tick)

ax3 = plt.subplot(133) # creates first axis
ax3.set_xticks([0,2000,500,1000,1500])
ax3.set_yticks([0,2000,500,1000,1500])
i3 = ax3.imshow(resU,cmap='hot',extent=(X.min(),2000,Y.min(),2000))
ax3.set_title("$\mathrm{\mid Ux - Ux \mid \/ (pix)}$")
plt.colorbar(i3,ax=ax3,ticks=tick)

plt.show()

指定时,请使用ax = ax1而不是axes = ax1.同样,为了限制颜色栏中的项目数量,您可以使用ticks选项.