def _create_properties_(self): p = Derived_UTS_Dataset._create_properties_(self) c = self.compiled F = c['F'] n = c['n'] p['data_type'] = 'spec' samplingrate = self.parent.samplingrate offset_insamples = c['offset'] p['samplingrate'] = samplingrate / offset_insamples p['t0'] = p['t0'] - (self.p.window_length.in_seconds(samplingrate) / 2) # data shape p['ndim'] = 2 shape = p['shape'][:] if shape[0] == None: length = None else: length = (shape[0] - n) // offset_insamples p['shape'] = (length, ) + shape[1:] + F.shape freq = F * (samplingrate / n) p['frequencies'] = freq # info = ["{n} (d{s}) _compile:".format(n=self.name, s=self.id), # " > _window {w}, {s}".format(w=self.p.window.get(), # s=window.shape)] # logging.info('\n'.join(info)) return p
def _create_properties_(self): p = Derived_UTS_Dataset._create_properties_(self) # TODO: shape # sr = self.parent.samplingrate # p['segmented'] = True # # shape # old_shape = p['shape'] # length = self.p.tend.in_samples(sr) - self.p.tstart.in_samples(sr) # new_shape = (length, ) + old_shape[1:] # p['shape'] = new_shape return p
def _create_properties_(self): p = Derived_UTS_Dataset._create_properties_(self) c = self.compiled sr = self.parent.samplingrate p['t0'] = self.p.pre.in_seconds(sr) # shape p['segmented'] = True old_shape = p['shape'] length = c['pre'] + c['post'] new_shape = (length, ) + old_shape[1:] p['shape'] = new_shape return p
def __init__(self, data, events, name="segmentation"): assert events['data_type'] == 'event' Derived_UTS_Dataset.__init__(self, data, name=name) self.parent_events = events events.children.append(self)