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| author | Mario Mulansky <mario.mulansky@gmx.net> | 2014-10-10 17:23:28 +0200 |
|---|---|---|
| committer | Mario Mulansky <mario.mulansky@gmx.net> | 2014-10-10 17:23:28 +0200 |
| commit | c1c5403b8274bd19aa1e71933cfaefe1ba622e59 (patch) | |
| tree | 2eebc7482b29d734ff933b0ca2c32c2e3b50c8ca /examples/test_merge.py | |
| parent | 7a8f12ab65ceea0211f6f24c26042768ef005302 (diff) | |
added License note in headers
Diffstat (limited to 'examples/test_merge.py')
| -rw-r--r-- | examples/test_merge.py | 20 |
1 files changed, 0 insertions, 20 deletions
diff --git a/examples/test_merge.py b/examples/test_merge.py deleted file mode 100644 index 0c34608..0000000 --- a/examples/test_merge.py +++ /dev/null @@ -1,20 +0,0 @@ -# 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, ending time = 4000 -spike_trains = spk.load_spike_trains_from_txt("SPIKY_testdata.txt", 4000) - -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() |