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authorMario Mulansky <mario.mulansky@gmx.net>2014-09-15 17:31:55 +0200
committerMario Mulansky <mario.mulansky@gmx.net>2014-09-15 17:31:55 +0200
commit5ea0fc218bb3bb30b1c40dd20e2e35a8bd11151c (patch)
treee4e01ee2d7f8698b4dcc2b9d6041d37963474e41 /examples
parentf9529c78538882879a07cb67e342eade8d2153ab (diff)
+merge_spike_trains
Diffstat (limited to 'examples')
-rw-r--r--examples/test_merge.py23
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()