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-rw-r--r--pyspike/spikes.py22
1 files changed, 4 insertions, 18 deletions
diff --git a/pyspike/spikes.py b/pyspike/spikes.py
index 486a4a0..cf47043 100644
--- a/pyspike/spikes.py
+++ b/pyspike/spikes.py
@@ -116,24 +116,10 @@ def merge_spike_trains(spike_trains):
:param spike_trains: list of :class:`.SpikeTrain`
:returns: spike train with the merged spike times
"""
- # get the lengths of the spike trains
- lens = np.array([len(st.spikes) for st in spike_trains])
- merged_spikes = np.empty(np.sum(lens))
- index = 0 # the index for merged_spikes
- indices = np.zeros_like(lens) # indices of the spike trains
- index_list = np.arange(len(indices)) # indices of indices of spike trains
- # that have not yet reached the end
- # list of the possible events in the spike trains
- vals = [spike_trains[i].spikes[indices[i]] for i in index_list]
- while len(index_list) > 0:
- i = np.argmin(vals) # the next spike is the minimum
- merged_spikes[index] = vals[i] # put it to the merged spike train
- i = index_list[i]
- index += 1 # next index of merged spike train
- indices[i] += 1 # next index for the chosen spike train
- if indices[i] >= lens[i]: # remove spike train index if ended
- index_list = index_list[index_list != i]
- vals = [spike_trains[n].spikes[indices[n]] for n in index_list]
+ # concatenating and sorting with numpy is fast, it also means we can handle
+ # empty spike trains
+ merged_spikes = np.concatenate([st.spikes for st in spike_trains])
+ merged_spikes.sort()
return SpikeTrain(merged_spikes, [spike_trains[0].t_start,
spike_trains[0].t_end])