2 different kinds spectrograms from .wav-file

def create_spectrogram(audio):

    sample_rate, samples = wavfile.read(audio)
    frequencies, times, spectrogram = signal.spectrogram(samples, sample_rate)
    plt.pcolormesh(times * 1000, frequencies, 10 * np.log10(spectrogram))
    plt.ylabel('Frequency [Hz]')
    plt.xlabel('Time [ms]')
    plt.show()


def create_spect(audio):

    sample_rate, samples = wavfile.read(audio)

    samples = samples / (2. ** 15)
    sample_points = float(samples.shape[0])
    mono_audio = samples[:, 0]

    times = np.arange(0, sample_points, 1) / sample_rate * 1000

    plt.plot(times, mono_audio, color='R')
    plt.xlabel('Time [ms]')
    plt.ylabel('Amplitude')
    plt.show()