def __init__(self, pha_f, pha_kind, pha_meth, pha_cycle,
amp_f, amp_kind, amp_meth, amp_cycle,
sf, npts, window, width, step, time, **kwargs):
# Define windows and frequency :
self._pha = fextract(kind=pha_kind, method=pha_meth,
cycle=pha_cycle, **kwargs)
self._amp = fextract(kind=amp_kind, method=amp_meth,
cycle=amp_cycle, **kwargs)
self._window, xvec = _manageWindow(npts, window=window,
width=width, step=step,
time=time)
self._pha.f, _, _ = _manageFrequencies(pha_f, split=None)
self._amp.f, _, _ = _manageFrequencies(amp_f, split=None)
if time is None:
time = np.arange(npts)
if self._window is None:
self._window = [(0, npts)]
self.time = np.array(self._window).mean()
# self.xvec = [0, npts]
else:
self.time = binArray(time, self._window)[0]
# Get variables :
self._width = width
self._step = step
self._nPha = len(self._pha.f)
self._nAmp = len(self._amp.f)
self._sf = sf
self._npts = npts
self._nwin = len(self._window)
self.pha = [np.mean(k) for k in self._pha.f]
self.amp = [np.mean(k) for k in self._amp.f]
def __init__(self, sf, npts, kind, f, baseline, norm, method, window,
width, step, split, time, meanT, **kwargs):
# Check the type of f:
if (len(f) == 4) and isinstance(f[0], (int, float)):
f = binarize(f[0], f[1], f[2], f[3], kind='list')
# Manage time and frequencies:
self._window, self.xvec = _manageWindow(npts,
window=window,
width=width,
step=step,
time=time)
self.f, self._fSplit, self._fSplitIndex = _manageFrequencies(
f, split=split)
# Get variables :
self._baseline = baseline
self._norm = norm
self._width = width
self._step = step
self._split = split
self._nf = len(self.f)
self._sf = sf
self._npts = npts
self.yvec = [round((k[0] + k[1]) / 2) for k in self.f]
self._kind = kind
self._fobj = fextract(method, kind, **kwargs)
self._meanT = meanT
def __init__(self, sf, npts, kind, f, baseline, norm, method, window,
width, step, split, time, meanT, **kwargs):
# Check the type of f:
if (len(f) == 4) and isinstance(f[0], (int, float)):
f = binarize(f[0], f[1], f[2], f[3], kind='list')
# Manage time and frequencies:
self._window, self.xvec = _manageWindow(
npts, window=window, width=width, step=step, time=time)
self.f, self._fSplit, self._fSplitIndex = _manageFrequencies(
f, split=split)
# Get variables :
self._baseline = baseline
self._norm = norm
self._width = width
self._step = step
self._split = split
self._nf = len(self.f)
self._sf = sf
self._npts = npts
self.yvec = [round((k[0]+k[1])/2) for k in self.f]
self._kind = kind
self._fobj = fextract(method, kind, **kwargs)
self._meanT = meanT
if (self._window is not None) and (time is not None):
self.xvec = binArray(time, self._window)[0]
self.xvec = list(self.xvec)