Note
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Radio Buttons#
Using radio buttons to choose properties of your plot.
Radio buttons let you choose between multiple options in a visualization.In this case, the buttons let the user choose one of the three different sinewaves to be shown in the plot.
Radio buttons may be styled using thelabel_props andradio_props parameters, whicheach take a dictionary with keys of artist property names and values of lists ofsettings with length matching the number of buttons.
importmatplotlib.pyplotaspltimportnumpyasnpfrommatplotlib.widgetsimportRadioButtonst=np.arange(0.0,2.0,0.01)s0=np.sin(2*np.pi*t)s1=np.sin(4*np.pi*t)s2=np.sin(8*np.pi*t)fig,ax=plt.subplot_mosaic([['main','freq'],['main','color'],['main','linestyle'],],width_ratios=[5,1],layout='constrained',)l,=ax['main'].plot(t,s0,lw=2,color='red')radio_background='lightgoldenrodyellow'ax['freq'].set_facecolor(radio_background)radio=RadioButtons(ax['freq'],('1 Hz','2 Hz','4 Hz'),label_props={'color':'cmy','fontsize':[12,14,16]},radio_props={'s':[16,32,64]})defhzfunc(label):hzdict={'1 Hz':s0,'2 Hz':s1,'4 Hz':s2}ydata=hzdict[label]l.set_ydata(ydata)fig.canvas.draw()radio.on_clicked(hzfunc)ax['color'].set_facecolor(radio_background)radio2=RadioButtons(ax['color'],('red','blue','green'),label_props={'color':['red','blue','green']},radio_props={'facecolor':['red','blue','green'],'edgecolor':['darkred','darkblue','darkgreen'],})defcolorfunc(label):l.set_color(label)fig.canvas.draw()radio2.on_clicked(colorfunc)ax['linestyle'].set_facecolor(radio_background)radio3=RadioButtons(ax['linestyle'],('-','--','-.',':'))defstylefunc(label):l.set_linestyle(label)fig.canvas.draw()radio3.on_clicked(stylefunc)plt.show()
References
The use of the following functions, methods, classes and modules is shownin this example: