summaryrefslogtreecommitdiff
path: root/examples
diff options
context:
space:
mode:
authorMario Mulansky <mario.mulansky@gmx.net>2015-12-14 17:25:53 +0100
committerMario Mulansky <mario.mulansky@gmx.net>2015-12-14 17:25:53 +0100
commitf7b90618f01d4dbf015b3d21c6c06dec8d26bd9f (patch)
tree799a2fa0e0f7558ece400de15ca8d1358565c066 /examples
parentd985f3a8de6ae840c8a127653b3d9affb1a8aa40 (diff)
parent9061f2a0c13134e53f937d730295a421fd671ea3 (diff)
Merge pull request #20 from mariomulansky/develop
Develop merge for version 0.4
Diffstat (limited to 'examples')
-rw-r--r--examples/multivariate.py4
-rw-r--r--examples/performance.py5
-rw-r--r--examples/plot.py5
3 files changed, 9 insertions, 5 deletions
diff --git a/examples/multivariate.py b/examples/multivariate.py
index 53dbf0f..93f8516 100644
--- a/examples/multivariate.py
+++ b/examples/multivariate.py
@@ -23,8 +23,8 @@ spike_trains = spk.load_spike_trains_from_txt("PySpike_testdata.txt",
t_loading = time.clock()
print("Number of spike trains: %d" % len(spike_trains))
-num_of_spikes = sum([len(spike_trains[i].spikes)
- for i in xrange(len(spike_trains))])
+num_of_spikes = sum([len(spike_trains[i])
+ for i in range(len(spike_trains))])
print("Number of spikes: %d" % num_of_spikes)
# calculate the multivariate spike distance
diff --git a/examples/performance.py b/examples/performance.py
index 1c31e8f..ec6c830 100644
--- a/examples/performance.py
+++ b/examples/performance.py
@@ -14,6 +14,9 @@ from datetime import datetime
import cProfile
import pstats
+# in case you dont have the cython backends, disable the warnings as follows:
+# spk.disable_backend_warning = True
+
M = 100 # number of spike trains
r = 1.0 # rate of Poisson spike times
T = 1E3 # length of spike trains
@@ -23,7 +26,7 @@ print("%d spike trains with %d spikes" % (M, int(r*T)))
spike_trains = []
t_start = datetime.now()
-for i in xrange(M):
+for i in range(M):
spike_trains.append(spk.generate_poisson_spikes(r, T))
t_end = datetime.now()
runtime = (t_end-t_start).total_seconds()
diff --git a/examples/plot.py b/examples/plot.py
index 9670286..1922939 100644
--- a/examples/plot.py
+++ b/examples/plot.py
@@ -16,12 +16,13 @@ import matplotlib.pyplot as plt
import pyspike as spk
+
spike_trains = spk.load_spike_trains_from_txt("PySpike_testdata.txt",
edges=(0, 4000))
-# plot the spike time
+# plot the spike times
for (i, spike_train) in enumerate(spike_trains):
- plt.plot(spike_train.spikes, i*np.ones_like(spike_train.spikes), 'o')
+ plt.scatter(spike_train, i*np.ones_like(spike_train), marker='|')
f = spk.isi_profile(spike_trains[0], spike_trains[1])
x, y = f.get_plottable_data()