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This is an example for plotting a Neo object with matplotlib.
import urllib
import numpy as np
import quantities as pq
from matplotlib import pyplot
distantfile = 'https://web.gin.g-node.org/NeuralEnsemble/ephy_testing_data/raw/master/plexon/File_plexon_3.plx'
localfile = './File_plexon_3.plx'
urllib.request.urlretrieve(distantfile, localfile)
# reader = neo.io.NeuroExplorerIO(filename='File_neuroexplorer_2.nex')
reader = neo.io.PlexonIO(filename='File_plexon_3.plx')
bl = reader.read(lazy=False)[0]
for seg in bl.segments:
    print("SEG: " + str(seg.file_origin))
    fig = pyplot.figure()
    ax1 = fig.add_subplot(2, 1, 1)
    ax2 = fig.add_subplot(2, 1, 2)
    ax1.set_title(seg.file_origin)
    ax1.set_ylabel('arbitrary units')
    mint = 0 * pq.s
    maxt = np.inf * pq.s
    for i, asig in enumerate(seg.analogsignals):
        times = asig.times.rescale('s').magnitude
        asig = asig.magnitude
        ax1.plot(times, asig)
    trains = [st.rescale('s').magnitude for st in seg.spiketrains]
    colors = pyplot.cm.jet(np.linspace(0, 1, len(seg.spiketrains)))
    ax2.eventplot(trains, colors=colors)
pyplot.show()

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