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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
- import neo
- 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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