importnumpyasnpclassPointBrowser:"""    Click on a point to select and highlight it -- the data that    generated the point will be shown in the lower Axes.  Use the 'n'    and 'p' keys to browse through the next and previous points    """def__init__(self):self.lastind=0self.text=ax.text(0.05,0.95,'selected: none',transform=ax.transAxes,va='top')self.selected,=ax.plot([xs[0]],[ys[0]],'o',ms=12,alpha=0.4,color='yellow',visible=False)defon_press(self,event):ifself.lastindisNone:returnifevent.keynotin('n','p'):returnifevent.key=='n':inc=1else:inc=-1self.lastind+=incself.lastind=np.clip(self.lastind,0,len(xs)-1)self.update()defon_pick(self,event):ifevent.artist!=line:returnTrueN=len(event.ind)ifnotN:returnTrue# the click locationsx=event.mouseevent.xdatay=event.mouseevent.ydatadistances=np.hypot(x-xs[event.ind],y-ys[event.ind])indmin=distances.argmin()dataind=event.ind[indmin]self.lastind=dataindself.update()defupdate(self):ifself.lastindisNone:returndataind=self.lastindax2.clear()ax2.plot(X[dataind])ax2.text(0.05,0.9,f'mu={xs[dataind]:1.3f}\nsigma={ys[dataind]:1.3f}',transform=ax2.transAxes,va='top')ax2.set_ylim(-0.5,1.5)self.selected.set_visible(True)self.selected.set_data([xs[dataind]],[ys[dataind]])self.text.set_text('selected:%d'%dataind)fig.canvas.draw()if__name__=='__main__':importmatplotlib.pyplotasplt# Fixing random state for reproducibilitynp.random.seed(19680801)X=np.random.rand(100,200)xs=np.mean(X,axis=1)ys=np.std(X,axis=1)fig,(ax,ax2)=plt.subplots(2,1)ax.set_title('click on point to plot time series')line,=ax.plot(xs,ys,'o',picker=True,pickradius=5)browser=PointBrowser()fig.canvas.mpl_connect('pick_event',browser.on_pick)fig.canvas.mpl_connect('key_press_event',browser.on_press)plt.show()

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