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| author | Mario Mulansky <mario.mulansky@gmx.net> | 2014-10-10 17:04:04 +0200 |
|---|---|---|
| committer | Mario Mulansky <mario.mulansky@gmx.net> | 2014-10-10 17:04:04 +0200 |
| commit | a769a03d089ac0c61e2155239a28665c9316e14a (patch) | |
| tree | 766347541743aab1baeb07e9d75d008981c553d6 /examples | |
| parent | 62f792fa52801234d4f9c33800a44b0308e9b8ab (diff) | |
added load_txt function, some restructuring
Diffstat (limited to 'examples')
| -rwxr-xr-x | examples/SPIKY_testdata.txt | 3 | ||||
| -rw-r--r-- | examples/test_data.py | 11 |
2 files changed, 7 insertions, 7 deletions
diff --git a/examples/SPIKY_testdata.txt b/examples/SPIKY_testdata.txt index 8fa3fcf..c8bea67 100755 --- a/examples/SPIKY_testdata.txt +++ b/examples/SPIKY_testdata.txt @@ -1,7 +1,10 @@ 64.886 305.81 696 937.77 1059.7 1322.2 1576.1 1808.1 2121.5 2381.1 2728.6 2966.9 3223.7 3473.7 3644.3 3936.3 65.553 307.49 696.63 948.66 1070.4 1312.2 1712.7 1934.3 2117.6 2356.9 2727.3 2980.6 3226.9 3475.7 3726.4 3944 +# test comment 69.064 319.1 688.32 947.85 1071.8 1300.8 1697.2 1930.6 2139.4 2354.2 2723.7 2963.6 3221.3 3470.1 59.955 313.83 692.23 955.95 1070.4 1319.6 1681.9 1963.5 2151.4 2373.8 2729.4 2971.2 3220.2 3475.5 3632.3 3788.9 +# empty line + 59.977 306.84 686.09 935.08 1059.9 1325.9 1543.4 1821.9 2150.2 2390.4 2724.5 2969.6 3222.5 3471.5 3576 3913.9 66.415 313.41 688.83 931.43 1051.8 1304.6 1555.6 1820.2 2150.5 2383.1 2723.4 2947.7 3196.6 3443.5 3575 3804.9 66.449 311.02 689.26 947.12 1058.9 1286.6 1708.2 1957.3 2124.8 2375.7 2709.4 2977.6 3191.1 3449.6 3590.4 3831.2 diff --git a/examples/test_data.py b/examples/test_data.py index ff7b510..dcd0f20 100644 --- a/examples/test_data.py +++ b/examples/test_data.py @@ -7,17 +7,14 @@ 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)) +spike_trains = spk.load_spike_trains_from_txt("SPIKY_testdata.txt", + time_interval=(0,4000)) # plot the spike time for (i,spikes) in enumerate(spike_trains): plt.plot(spikes, i*np.ones_like(spikes), 'o') -f = spk.isi_distance(spike_trains[0], spike_trains[1], 4000) +f = spk.isi_distance(spike_trains[0], spike_trains[1]) x, y = f.get_plottable_data() plt.figure() @@ -27,7 +24,7 @@ print("Average: %.8f" % f.avrg()) print("Absolute average: %.8f" % f.abs_avrg()) -f = spk.spike_distance(spike_trains[0], spike_trains[1], 4000) +f = spk.spike_distance(spike_trains[0], spike_trains[1]) x, y = f.get_plottable_data() print(x) print(y) |