def cv(self):
"""
Calculates the Coefficient of variation time trace of the ensamble
returns a Env object
"""
return Env(numpy.nanstd(self.array,axis=0)/numpy.nanmean(self.array,axis=0), self.rate, delay=self.delay, tjust=self.tjust)
def eta2(self):
"""
Calculates the eta square (variance divided by mean square) time trace of the ensamble
returns a Env object
"""
return Env(numpy.nanvar(self.array,axis=0)/numpy.square(numpy.nanmean(self.array,axis=0)), self.rate, delay=self.delay, tjust=self.tjust)
def var(self):
"""
Calculates Variance time trace of the ensamble
returns a Env object
"""
return Env(numpy.nanvar(self.array,axis=0), self.rate, delay=self.delay, tjust=self.tjust)
def std(self):
"""
Calculates Standard Deviation time trace of the ensamble
returns a Env object
"""
return Env(numpy.nanstd(self.array,axis=0), self.rate, delay=self.delay, tjust=self.tjust)
def median(self):
"""
Calculates median time trace of the ensamble
returns a Env object
"""
return Env(numpy.nanmedian(self.array,axis=0), self.rate, delay=self.delay, tjust=self.tjust)
def average(self):
"""
Calculates average time trace of the ensamble
returns a Env object
"""
return Env(numpy.average(self.array,axis=0), self.rate, delay=self.delay, tjust=self.tjust)
def get_env(self, key):
"""
Get element of ensenble by positinal index
"""
return Env(self.array[key, :],
self.rate,
delay=self.delay,
tjust=self.tjust)