def _plot_histogram(params):
    import matplotlib.pyplot as plt
    epochs = params['epochs']
    p2p = np.ptp(epochs.get_data(), axis=2)
    types = list()
    data = list()
    if 'eeg' in params['types']:
        eegs = np.array([p2p.T[i] for i,
                         x in enumerate(params['types']) if x == 'eeg'])
        data.append(eegs.ravel())
        types.append('eeg')
    if 'mag' in params['types']:
        mags = np.array([p2p.T[i] for i,
                         x in enumerate(params['types']) if x == 'mag'])
        data.append(mags.ravel())
        types.append('mag')
    if 'grad' in params['types']:
        grads = np.array([p2p.T[i] for i,
                          x in enumerate(params['types']) if x == 'grad'])
        data.append(grads.ravel())
        types.append('grad')
    params['histogram'] = plt.figure()
    scalings = _handle_default('scalings')
    units = _handle_default('units')
    titles = _handle_default('titles')
    colors = _handle_default('color')
    for idx in range(len(types)):
        ax = plt.subplot(len(types), 1, idx + 1)
        plt.xlabel(units[types[idx]])
        plt.ylabel('count')
        color = colors[types[idx]]
        rej = None
        if epochs.reject is not None and types[idx] in epochs.reject.keys():
                rej = epochs.reject[types[idx]] * scalings[types[idx]]
                rng = [0., rej * 1.1]
        else:
            rng = None
        plt.hist(data[idx] * scalings[types[idx]], bins=100, color=color,
                 range=rng)
        if rej is not None:
            ax.plot((rej, rej), (0, ax.get_ylim()[1]), color='r')
        plt.title(titles[types[idx]])
    params['histogram'].suptitle('Peak-to-peak histogram', y=0.99)
    params['histogram'].subplots_adjust(hspace=0.6)
    try:
        params['histogram'].show(warn=False)
    except:
        pass
    if params['fig_proj'] is not None:
        params['fig_proj'].canvas.draw()
Get an ELB configuration.
dataset/ETHPy150Open mne-tools/mne-python/mne/viz/epochs.py/_plot_histogram--crossover with--dataset/ETHPy150Open saltstack/salt/salt/modules/boto_elb.py/get_elb_config