def get(self, session=None, group=None, unit=None, **kwargs):
"""Returns spike times for specified session * unit
Extra keywords override object defaults (eg group_multiplier, fs,
memoization...)
Current behavior is to always load and save memoized versions for
best speed. This might change ...
"""
# Where the files are
dirname = self.session_d[session]
# Update the usual calling kwargs with any additional ones
call_kwargs = self.kk_kwargs.copy()
call_kwargs.update(kwargs)
# Do the loading
spikes = from_KK(dirname, **call_kwargs)
# Make this panda pick
#sub = spikes[spikes.unit == unit]
sub = utility.panda_pick_data(spikes, group=group, unit=unit)
return sub
def pick_trial_times(trials_info, outcome='hit', nonrandom=0,
isnotnull='time', **kwargs):
"""Returns trial times satisfying condition
This convenience method provides common defaults for me
"""
return np.asarray(utility.panda_pick_data(trials_info, outcome=outcome,
nonrandom=nonrandom, isnotnull=isnotnull, **kwargs).time)
def pick_trials(trials_info,
outcome='hit',
nonrandom=0,
isnotnull='time',
**kwargs):
"""Returns trial rows satisfying condition
This convenience method provides common defaults for me
"""
return utility.panda_pick_data(trials_info,
outcome=outcome,
nonrandom=nonrandom,
isnotnull=isnotnull,
**kwargs)
def pick(self, event_name, trials_l):
"""Return df[df.event==event_name] for df in trials_l
If there is no such event, a warning is printed and the trial
is skipped. If there is more than one event, a warning is taken
and the first such event is taken.
"""
res = []
w, w2 = False, False
for trial in trials_l:
val = utility.panda_pick_data(trial, event=event_name).time
if len(val) > 1:
w2 = True
res.append(val.values[0])
elif len(val) == 0:
w = True
else:
res.append(val.item())
if w:
print "warning: some events did not occur"
if w2:
print "warning: multiple events detected on some trials"
return res
def pick(self, event_name, trials_l):
"""Return df[df.event==event_name] for df in trials_l
If there is no such event, a warning is printed and the trial
is skipped. If there is more than one event, a warning is taken
and the first such event is taken.
"""
res = []
w, w2 = False, False
for trial in trials_l:
val = utility.panda_pick_data(trial, event=event_name).time
if len(val) > 1:
w2 = True
res.append(val.values[0])
elif len(val) == 0:
w = True
else:
res.append(val.item())
if w:
print "warning: some events did not occur"
if w2:
print "warning: multiple events detected on some trials"
return res
