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copied!<p>You have to redraw the figure - simply by adding a <code>plt.draw</code> to the onclick method.<br> Moreover you have to connect the event before you show the figure. Of course, here your annotation text is 'picco' not '5'.</p> <p>Try:</p> <pre><code>import matplotlib.pyplot as plt X=[1,2,3,4,5,6,7,8,9,10] Y=[1,1,1,2,10,2,1,1,1,1] fig = plt.figure() ax = fig.add_subplot(111) ax.plot(X,Y,label="prova") #plot the function #plt.legend(loc=1, ncol=1, shadow=True) plt.xlim(min(X) * 0.9, max(X) * 1.1) plt.ylim(min(Y) * 0.9, max(Y) * 1.1) plt.ylabel(r'Y axis') plt.xlabel(r'X axis') Diz=dict(zip(X,Y)) #create a dictionary that associate X with Y Interval=[] #interval where the user search for peaks PeaksList=[] #list of peaks found def onclick(event): print 'First limit at =%f'%(event.xdata) Interval.append(event.xdata) if len(Interval)%2==0: a=Interval[-2] b=Interval[-1] if b<a: #if the user select first the highest value these statements filp it! A=b B=a else: A=a B=b #find the max Y value: the peak! peakY=0 #max Y value piccoX=0 #value of the X associate to the peak for i in [ j for j in X if A<j<B] : if Diz[i]>peakY: peakY=Diz[i] piccoX=i print "Interval: %f - %f Peak at: %f " %(a,b,piccoX) PeaksList.append([piccoX,peakY]) ax.annotate("picco", xy=(piccoX,peakY), xycoords='data', xytext=(-50, 30), textcoords='offset points', arrowprops=dict(arrowstyle="->") ) plt.draw() cid = fig.canvas.mpl_connect('button_press_event', onclick) plt.show() </code></pre> <p>Maybe visually more appealing (using the spanselector):</p> <pre><code>import matplotlib.pyplot as plt from matplotlib.widgets import SpanSelector X=[1,2,3,4,5,6,7,8,9,10] Y=[1,1,1,2,10,2,1,1,1,1] fig = plt.figure() ax = fig.add_subplot(111) ax.plot(X,Y,label="prova") #plot the function #plt.legend(loc=1, ncol=1, shadow=True) plt.xlim(min(X) * 0.9, max(X) * 1.1) plt.ylim(min(Y) * 0.9, max(Y) * 1.1) plt.ylabel(r'Y axis') plt.xlabel(r'X axis') Diz=dict(zip(X,Y)) #create a dictionary that associate X with Y Interval=[] #interval where the user search for peaks PeaksList=[] #list of peaks found def onclick(xmin, xmax): print 'Interval: {0} - {1}'.format(xmin,xmax) peakY=0 #max Y value piccoX=0 #value of the X associate to the peak for i in [ j for j in X if xmin<j<xmax] : if Diz[i]>peakY: peakY=Diz[i] piccoX=i print "Peak at: %f " % piccoX PeaksList.append([piccoX,peakY]) ax.annotate("picco", xy=(piccoX,peakY), xycoords='data', xytext=(-50, 30), textcoords='offset points', arrowprops=dict(arrowstyle="->")) plt.draw() span = SpanSelector(ax, onclick, 'horizontal', useblit=True, rectprops=dict(alpha=0.5, facecolor='blue') ) plt.show() </code></pre>

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