importmatplotlib.pyplotaspltimportnumpyasnpfrommatplotlib.widgetsimportButton,Slider# The parametrized function to be plotteddeff(t,amplitude,frequency):returnamplitude*np.sin(2*np.pi*frequency*t)t=np.linspace(0,1,1000)# Define initial parametersinit_amplitude=5init_frequency=3# Create the figure and the line that we will manipulatefig,ax=plt.subplots()line,=ax.plot(t,f(t,init_amplitude,init_frequency),lw=2)ax.set_xlabel('Time [s]')# adjust the main plot to make room for the slidersfig.subplots_adjust(left=0.25,bottom=0.25)# Make a horizontal slider to control the frequency.axfreq=fig.add_axes((0.25,0.1,0.65,0.03))freq_slider=Slider(ax=axfreq,label='Frequency [Hz]',valmin=0.1,valmax=30,valinit=init_frequency,)# Make a vertically oriented slider to control the amplitudeaxamp=fig.add_axes((0.1,0.25,0.0225,0.63))amp_slider=Slider(ax=axamp,label="Amplitude",valmin=0,valmax=10,valinit=init_amplitude,orientation="vertical")# The function to be called anytime a slider's value changesdefupdate(val):line.set_ydata(f(t,amp_slider.val,freq_slider.val))fig.canvas.draw_idle()# register the update function with each sliderfreq_slider.on_changed(update)amp_slider.on_changed(update)# Create a `matplotlib.widgets.Button` to reset the sliders to initial values.resetax=fig.add_axes((0.8,0.025,0.1,0.04))button=Button(resetax,'Reset',hovercolor='0.975')defreset(event):freq_slider.reset()amp_slider.reset()button.on_clicked(reset)plt.show()

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