def populate_figure(figure): axes = figure.add_subplot(1, 1, 1) wave, sample_rate = sine_wave(num_periods=2, samples_per_period=44.1) axes.stem(wave * 32767, markerfmt='.', basefmt=' ') format_waveform_plot(figure) axes.set_xlabel('Time (samples)') axes.set_ylabel('Sample value') axes.set_yticks([-32767, -16384, 0, 16384, 32767])
def populate_figure(figure, wavefilter=lambda x: x, include_detail=False): wave, sample_rate = sine_wave(frequency=1000, num_periods=3) wave = wavefilter(wave) axes = figure.add_subplot(1, 1, 1) waveform(axes, wave, sample_rate) format_waveform_plot(figure) if include_detail: annotate_amplitude(axes, wave) axes.set_xticks([]) axes.set_xlabel('') axes.set_ylabel('')
def populate_figure_wavesum(figure, wave1, wave2, sample_rate): axes = figure.add_subplot(1, 1, 1) wavesum = wave1 + wave2 waveform(axes, wave1, sample_rate, label='Wave 1') waveform(axes, wave2, sample_rate, label='Wave 2') waveform(axes, wavesum, sample_rate, label='Sum') format_waveform_plot(figure) axes.legend(loc='upper right') axes.set_xticks([]) axes.set_xlabel('Time') axes.set_ylim(-10, 10)
def populate_figure(figure): axes = figure.add_subplot(1, 1, 1) # These are the default matplotlib colors, but we're hardcoding them # because they are mentioned explicitly in the accompanying text. for plot in plots: wave, sample_rate = sine_wave(frequency=1000, num_periods=2, phase_radians=np.radians( plot['phase_degrees'])) waveform(axes, wave, sample_rate, linestyle=plot['linestyle'], color=plot['color'], label=str(plot['phase_degrees']) + '°') format_waveform_plot(figure) axes.legend(loc='upper right') axes.set_yticks([])
def populate_figure_wave(figure, wave, sample_rate): axes = figure.add_subplot(1, 1, 1) waveform(axes, wave, sample_rate) format_waveform_plot(figure) axes.set_yticks([])
def populate_figure(figure): waveform(figure.add_subplot(1, 1, 1), *noisy_sine_wave(num_periods=3)) format_waveform_plot(figure)
def populate_figure(figure): axes = figure.add_subplot(1, 1, 1) wave, sample_rate = sine_wave(frequency=1000, num_periods=2) waveform(axes, wave*1.41, sample_rate) format_waveform_plot(figure) axes.set_ylabel('Voltage (volts)')
def populate_figure(figure): axes = figure.add_subplot(1, 1, 1) wave, sample_rate = sine_wave(frequency=1000, num_periods=2) waveform(axes, wave*0.356, sample_rate) format_waveform_plot(figure) axes.set_ylabel('Sound pressure (Pa)')