def __call__(self, value):
if self.vmax <= self.vmin:
self.vmax, self.vmin = self.vmin, self.vmax
result = 1 - Normalize.__call__(self, value)
self.vmax, self.vmin = self.vmin, self.vmax
else:
result = Normalize.__call__(self, value)
return result
def __call__(self, value, clip=None):
# I'm ignoring masked values and all kinds of edge cases to make a
# simple example...
if self.xvalues is not None:
x, y = self.xvalues, self.cvalues
return np.ma.masked_array(np.interp(value, x, y))
else:
return Normalize.__call__(self, value, clip)
def __call__(self, *args): v = Normalize.__call__(self, *args) return v*v
def __call__(self, epoch, **kargs):
if isinstance(epoch, np.ndarray) and len(epoch.shape) == 0:
epoch = epoch.item()
return Normalize.__call__(self, self.mktime(epoch), **kargs)
def __call__(self, epoch, **kargs):
if isinstance(epoch, np.ndarray) and len(epoch.shape) == 0:
epoch = epoch.item()
return Normalize.__call__(self, self.mktime(epoch), **kargs)
