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author | Mario Mulansky <mario.mulansky@gmx.net> | 2014-09-15 17:31:55 +0200 |
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committer | Mario Mulansky <mario.mulansky@gmx.net> | 2014-09-15 17:31:55 +0200 |
commit | 5ea0fc218bb3bb30b1c40dd20e2e35a8bd11151c (patch) | |
tree | e4e01ee2d7f8698b4dcc2b9d6041d37963474e41 /examples | |
parent | f9529c78538882879a07cb67e342eade8d2153ab (diff) |
+merge_spike_trains
Diffstat (limited to 'examples')
-rw-r--r-- | examples/test_merge.py | 23 |
1 files changed, 23 insertions, 0 deletions
diff --git a/examples/test_merge.py b/examples/test_merge.py new file mode 100644 index 0000000..1186062 --- /dev/null +++ b/examples/test_merge.py @@ -0,0 +1,23 @@ +# compute the isi distance of some test data +from __future__ import print_function + +import numpy as np +import matplotlib.pyplot as plt + +import pyspike as spk + +# first load the data +spike_trains = [] +spike_file = open("SPIKY_testdata.txt", 'r') +for line in spike_file: + spike_trains.append(spk.spike_train_from_string(line)) + +spikes = spk.merge_spike_trains([spike_trains[0], spike_trains[1]]) + +print(spikes) + +plt.plot(spike_trains[0], np.ones_like(spike_trains[0]), 'o') +plt.plot(spike_trains[1], np.ones_like(spike_trains[1]), 'x') +plt.plot(spikes, 2*np.ones_like(spikes), 'o') + +plt.show() |