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-rw-r--r--examples/test_data.py11
1 files changed, 4 insertions, 7 deletions
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)