Analysis.StatsBuffer.Metrics Class Reference

Public Member Functions
	__init__ (self, spectrum, history)
	compute (self)
	height (self)
	reset (self)
	resize (self)
	Pops oldest row if we're full, or truncates more if history was reduced, but in either case leaves us with at least one slot to append the latest spectrum.
	update (self, spectrum, history)
	width (self)

Public Attributes
	data = None
	history = history
	max = None
	mean = None
	median = None
	min = None
	mode = None
	sigma_hi = None
	sigma_lo = None
	stdev = np.std (self.data, axis=0)

Constructor & Destructor Documentation

__init__()

Analysis.StatsBuffer.Metrics.__init__	(		self,
			spectrum,
			history )

Member Function Documentation

compute()

Analysis.StatsBuffer.Metrics.compute

(

self

)

height()

Analysis.StatsBuffer.Metrics.height

(

self

)

reset()

Analysis.StatsBuffer.Metrics.reset

(

self

)

resize()

Analysis.StatsBuffer.Metrics.resize

(

self

)

Pops oldest row if we're full, or truncates more if history was reduced, but in either case leaves us with at least one slot to append the latest spectrum.

update()

Analysis.StatsBuffer.Metrics.update	(		self,
			spectrum,
			history )

width()

Analysis.StatsBuffer.Metrics.width

(

self

)

Member Data Documentation

data

Analysis.StatsBuffer.Metrics.data = None

history

Analysis.StatsBuffer.Metrics.history = history

max

Analysis.StatsBuffer.Metrics.max = None

mean

Analysis.StatsBuffer.Metrics.mean = None

median

Analysis.StatsBuffer.Metrics.median = None

min

Analysis.StatsBuffer.Metrics.min = None

mode

Analysis.StatsBuffer.Metrics.mode = None

sigma_hi

Analysis.StatsBuffer.Metrics.sigma_hi = None

sigma_lo

Analysis.StatsBuffer.Metrics.sigma_lo = None

stdev

Analysis.StatsBuffer.Metrics.stdev = np.std (self.data, axis=0)

---

The documentation for this class was generated from the following file:

• plugins/Analysis/StatsBuffer.py