本文整理汇总了Python中neo.core.SpikeTrain.fid方法的典型用法代码示例。如果您正苦于以下问题：Python SpikeTrain.fid方法的具体用法？Python SpikeTrain.fid怎么用？Python SpikeTrain.fid使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类neo.core.SpikeTrain的用法示例。
在下文中一共展示了SpikeTrain.fid方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: read_block
# 需要导入模块: from neo.core import SpikeTrain [as 别名]
# 或者: from neo.core.SpikeTrain import fid [as 别名]
#.........这里部分代码省略.........
if not lazy:
# Step 2 : allocate memory
for code, v in iteritems(allsig):
for channel, anaSig in iteritems(v):
v[channel] = anaSig.duplicate_with_new_array(np.zeros((anaSig.lazy_shape) , dtype = anaSig.lazy_dtype)*pq.V )
v[channel].pos = 0
for code, v in iteritems(allevent):
for channel, ea in iteritems(v):
ea.times = np.empty( (ea.lazy_shape) ) * pq.s
ea.labels = np.empty( (ea.lazy_shape), dtype = 'S'+str(ea.maxlabelsize) )
ea.pos = 0
for code, v in iteritems(allspiketr):
for channel, allsorted in iteritems(v):
for sortcode, sptr in iteritems(allsorted):
new = SpikeTrain(np.zeros( (sptr.lazy_shape), dtype = 'f8' ) *pq.s ,
name = sptr.name,
t_start = sptr.t_start,
t_stop = sptr.t_stop,
left_sweep = sptr.left_sweep,
sampling_rate = sptr.sampling_rate,
waveforms = np.ones( (sptr.lazy_shape, 1, sptr.waveformsize) , dtype = 'f') * pq.mV ,
)
new.annotations.update(sptr.annotations)
new.pos = 0
new.waveformsize = sptr.waveformsize
allsorted[sortcode] = new
# Step 3 : searh sev (individual data files) or tev (common data file)
# sev is for version > 70
if os.path.exists(os.path.join(subdir, tankname+'_'+blockname+'.tev')):
tev = open(os.path.join(subdir, tankname+'_'+blockname+'.tev'), 'rb')
else:
tev = None
for code, v in iteritems(allsig):
for channel, anaSig in iteritems(v):
if PY3K:
signame = anaSig.name.decode('ascii')
else:
signame = anaSig.name
filename = os.path.join(subdir, tankname+'_'+blockname+'_'+signame+'_ch'+str(anaSig.channel_index)+'.sev')
if os.path.exists(filename):
anaSig.fid = open(filename, 'rb')
else:
anaSig.fid = tev
for code, v in iteritems(allspiketr):
for channel, allsorted in iteritems(v):
for sortcode, sptr in iteritems(allsorted):
sptr.fid = tev
# Step 4 : second loop for copyin chunk of data
tsq.seek(0)
while 1:
h= hr.read_f()
if h==None:break
channel, code , evtype = h['channel'], h['code'], h['evtype']
if Types[evtype] == 'EVTYPE_STREAM':
a = allsig[code][channel]
dt = a.dtype
s = int((h['size']*4-40)/dt.itemsize)
a.fid.seek(h['eventoffset'])
a[ a.pos:a.pos+s ] = np.fromstring( a.fid.read( s*dt.itemsize ), dtype = a.dtype)
a.pos += s
elif Types[evtype] == 'EVTYPE_STRON' or \
Types[evtype] == 'EVTYPE_STROFF':
ea = allevent[code][channel]
ea.times[ea.pos] = (h['timestamp'] - global_t_start) * pq.s
strobe, = struct.unpack('d' , struct.pack('q' , h['eventoffset']))
ea.labels[ea.pos] = str(strobe)
ea.pos += 1
elif Types[evtype] == 'EVTYPE_SNIP':
sptr = allspiketr[code][channel][h['sortcode']]
sptr.t_stop = (h['timestamp'] - global_t_start) * pq.s
sptr[sptr.pos] = (h['timestamp'] - global_t_start) * pq.s
sptr.waveforms[sptr.pos, 0, :] = np.fromstring( sptr.fid.read( sptr.waveformsize*4 ), dtype = 'f4') * pq.V
sptr.pos += 1
# Step 5 : populating segment
for code, v in iteritems(allsig):
for channel, anaSig in iteritems(v):
seg.analogsignals.append( anaSig )
for code, v in iteritems(allevent):
for channel, ea in iteritems(v):
seg.eventarrays.append( ea )
for code, v in iteritems(allspiketr):
for channel, allsorted in iteritems(v):
for sortcode, sptr in iteritems(allsorted):
seg.spiketrains.append( sptr )
bl.create_many_to_one_relationship()
return bl