code stringlengths 3 6.57k |
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int(self.nsamplesComboBox.currentText() |
len(self.nslist.sids) |
max(nsids-nsamples, 1) |
self.slider.setRange(0, ulim) |
self.slider.setSingleStep(1) |
self.slider.setPageStep(nsamples) |
findMostSimilarCluster(self, which='next') |
self.getClusterComparisonSource() |
print(err) |
list(self.sort.clusters.values() |
destinations.remove(source) |
np.sort(self.panel.chans_selected) |
len(selchans) |
np.intersect1d(source.neuron.wave.chans, selchans) |
len(srcchans) |
print("Source cluster doesn't overlap with selected chans") |
self.spykewindow.ui.normButton.isChecked() |
print("NOTE: findMostSimilarCluster() |
dest.neuron.update_wave() |
len(selchans) |
set(selchans) |
issubset(dstchans) |
np.intersect1d(srcchans, dstchans) |
len(cmpchans) |
core.rms(srcwavedata - dstwavedata) |
errors.append(error) |
dests.append(dest) |
len(errors) |
print("No sufficiently overlapping clusters on selected chans to compare to") |
np.asarray(errors) |
np.asarray(dests) |
errors.argsort() |
ValueError('Unknown which: %r' % which) |
max(self._cmpid, 0) |
min(self._cmpid, len(dests) |
self.spykewindow.SelectClusters(dest) |
self.sort.converter.AD2uV(desterr) |
getClusterComparisonSource(self) |
self.spykewindow.GetClusters() |
len(selclusters) |
len(selclusters) |
RuntimeError(errmsg) |
selclusters.remove(source) |
self.spykewindow.SelectClusters(selclusters, on=False) |
RuntimeError(errmsg) |
Shift(self, nt) |
np.concatenate((spw.GetClusterSpikes() |
spw.GetUnsortedSpikes() |
self.sort.shift(sids, nt) |
print('Shifted %d spikes by %d timepoints' % (len(sids) |
np.unique(spikes['nid'][sids]) |
neuron.update_wave() |
spw.update_dirtysids(sids) |
self.panel.updateAllItems() |
Align(self, to) |
np.concatenate((spw.GetClusterSpikes() |
spw.GetUnsortedSpikes() |
s.get_common_chans(sids) |
spw.get_selchans(sids) |
list(commonchans) |
len(sids) |
list(tis) |
s.alignbest(sids, tis, selchans) |
util.alignbest_cy(s, sids, tis, np.int64(selchans) |
print('Aligning %d spikes to %s' % (len(sids) |
s.alignminmax(sids, to) |
len(dirtysids) |
len(sids) |
print('Aligned %d/%d (%.1f%%) |
len(dirtysids) |
len(sids) |
np.unique(spikes['nid'][dirtysids]) |
neuron.update_wave() |
spw.update_dirtysids(dirtysids) |
self.panel.updateAllItems() |
RemoveNeuron(self, neuron, update=True) |
self.MoveSpikes2List(neuron, neuron.sids, update=update) |
self.sort.remove_neuron(neuron.id) |
self.nlist.updateAll() |
MoveSpikes2Neuron(self, sids, neuron=None, update=True) |
toiter(sids) |
self.sort.create_neuron() |
np.union1d(neuron.sids, sids) |
self.sort.update_usids() |
self.uslist.updateAll() |
self.uslist.Select(row) |
MoveSpikes2List(self, neuron, sids, update=True) |
toiter(sids) |
len(sids) |
np.setdiff1d(neuron.sids, sids) |
self.sort.update_usids() |
self.uslist.updateAll() |
PlotClusterHistogram(self, X, nids) |
clusters
(up to a limit) |
spw.OpenWindow('MPL') |
np.unique(nids) |
len(unids) |
mplw.ax.clear() |
mplw.figurecanvas.draw() |
print("No spikes selected") |
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