importnumpyasnpimportmatplotlib.pyplotaspltfrommatplotlib.widgetsimportRangeSlider# generate a fake imagenp.random.seed(19680801)N=128img=np.random.randn(N,N)fig,axs=plt.subplots(1,2,figsize=(10,5))fig.subplots_adjust(bottom=0.25)im=axs[0].imshow(img)axs[1].hist(img.flatten(),bins='auto')axs[1].set_title('Histogram of pixel intensities')# Create the RangeSliderslider_ax=fig.add_axes([0.20,0.1,0.60,0.03])slider=RangeSlider(slider_ax,"Threshold",img.min(),img.max(),valinit=[0.0,1])# Create the Vertical lines on the histogramlower_limit_line=axs[1].axvline(slider.val[0],color='k')upper_limit_line=axs[1].axvline(slider.val[1],color='k')defupdate(val):# The val passed to a callback by the RangeSlider will# be a tuple of (min, max)# Update the image's colormapim.norm.vmin=val[0]im.norm.vmax=val[1]# Update the position of the vertical lineslower_limit_line.set_xdata([val[0],val[0]])upper_limit_line.set_xdata([val[1],val[1]])# Redraw the figure to ensure it updatesfig.canvas.draw_idle()slider.set_val([0.0,5])slider.on_changed(update)plt.show()