def delay(self):
""" The delay in seconds between the two time series """
p_shape = self.phase.shape[:-1]
delay = np.zeros(self.phase.shape)
for i in xrange(p_shape[0]):
for j in xrange(p_shape[1]):
#Calculate the delay, unwrapping the phases:
this_phase = self.phase[i,j]
this_phase = tsu.unwrap_phases(this_phase)
delay[i,j] = this_phase / (2*np.pi*self.frequencies)
return delay
def delay(self):
""" The delay in seconds between the two time series """
p_shape = self.phase.shape[:-1]
delay = np.zeros(self.phase.shape)
for i in range(p_shape[0]):
for j in range(p_shape[1]):
this_phase = self.phase[i, j]
#If requested, unwrap the phases:
if self._unwrap_phases:
this_phase = tsu.unwrap_phases(this_phase)
delay[i, j] = this_phase / (2 * np.pi * self.frequencies)
return delay
def delay(self):
""" The delay in seconds between the two time series """
p_shape = self.phase.shape[:-1]
delay = np.zeros(self.phase.shape)
for i in range(p_shape[0]):
for j in range(p_shape[1]):
this_phase = self.phase[i, j]
#If requested, unwrap the phases:
if self._unwrap_phases:
this_phase = tsu.unwrap_phases(this_phase)
delay[i, j] = this_phase / (2 * np.pi * self.frequencies)
return delay
