lsst.meas.modelfit.display.densityPlot.SurfaceLayer Class Reference

Public Member Functions
def	__init__ (self, tag, steps1d=200, steps2d=200, filled=False, kwds1d=None, kwds2d=None)
def	eval1d (self, data, dim, x)
def	eval2d (self, data, xDim, yDim, x, y)
def	plotX (self, axes, data, dim)
def	plotY (self, axes, data, dim)
def	plotXY (self, axes, data, xDim, yDim)

Public Attributes
	tag
	steps1d
	steps2d
	filled
	kwds1d
	kwds2d

Static Public Attributes
	defaults1d = dict(linewidth=2, color='r')
	defaults2d = dict(linewidths=2, cmap=matplotlib.cm.Reds)

Detailed Description

A Layer class for analytic N-d distributions that can be evaluated in 1-d or 2-d slices.

The 2-d slices are drawn as contours, and the 1-d slices are drawn as simple curves.

Relies on eval1d and eval2d methods in the data object; this can be avoided by subclassing
SurfaceLayer and reimplementing its own eval1d and eval2d methods.

Definition at line 172 of file densityPlot.py.

Constructor & Destructor Documentation

__init__()

def lsst.meas.modelfit.display.densityPlot.SurfaceLayer.__init__	(		self,
			tag,
			steps1d = 200,
			steps2d = 200,
			filled = False,
			kwds1d = None,
			kwds2d = None
	)

Definition at line 184 of file densityPlot.py.

    def __init__(self, tag, steps1d=200, steps2d=200, filled=False, kwds1d=None, kwds2d=None):
        self.tag = tag
        self.steps1d = int(steps1d)
        self.steps2d = int(steps2d)
        self.filled = bool(filled)
        self.kwds1d = mergeDefaults(kwds1d, self.defaults1d)
        self.kwds2d = mergeDefaults(kwds2d, self.defaults2d)
 

Member Function Documentation

eval1d()

def lsst.meas.modelfit.display.densityPlot.SurfaceLayer.eval1d	(		self,
			data,
			dim,
			x
	)

Return analytic function values for the given values.

Definition at line 192 of file densityPlot.py.

    def eval1d(self, data, dim, x):
        """Return analytic function values for the given values."""
        return data.eval1d(dim, x)
 

eval2d()

def lsst.meas.modelfit.display.densityPlot.SurfaceLayer.eval2d	(		self,
			data,
			xDim,
			yDim,
			x,
			y
	)

Return analytic function values for the given values.

Definition at line 196 of file densityPlot.py.

    def eval2d(self, data, xDim, yDim, x, y):
        """Return analytic function values for the given values."""
        return data.eval2d(xDim, yDim, x, y)
 

plotX()

def lsst.meas.modelfit.display.densityPlot.SurfaceLayer.plotX	(		self,
			axes,
			data,
			dim
	)

Definition at line 200 of file densityPlot.py.

    def plotX(self, axes, data, dim):
        xMin, xMax = axes.get_xlim()
        x = numpy.linspace(xMin, xMax, self.steps1d)
        z = self.eval1d(data, dim, x)
        if z is None:
            return
        return axes.plot(x, z, **self.kwds1d)
 

plotXY()

def lsst.meas.modelfit.display.densityPlot.SurfaceLayer.plotXY	(		self,
			axes,
			data,
			xDim,
			yDim
	)

Definition at line 216 of file densityPlot.py.

    def plotXY(self, axes, data, xDim, yDim):
        xMin, xMax = axes.get_xlim()
        yMin, yMax = axes.get_ylim()
        xc = numpy.linspace(xMin, xMax, self.steps2d)
        yc = numpy.linspace(yMin, yMax, self.steps2d)
        xg, yg = numpy.meshgrid(xc, yc)
        z = self.eval2d(data, xDim, yDim, xg, yg)
        if z is None:
            return
        if self.filled:
            return axes.contourf(xg, yg, z, 6, **self.kwds2d)
        else:
            return axes.contour(xg, yg, z, 6, **self.kwds2d)
 
 

plotY()

def lsst.meas.modelfit.display.densityPlot.SurfaceLayer.plotY	(		self,
			axes,
			data,
			dim
	)

Definition at line 208 of file densityPlot.py.

    def plotY(self, axes, data, dim):
        yMin, yMax = axes.get_ylim()
        y = numpy.linspace(yMin, yMax, self.steps1d)
        z = self.eval1d(data, dim, y)
        if z is None:
            return
        return axes.plot(z, y, **self.kwds1d)
 

Member Data Documentation

defaults1d

lsst.meas.modelfit.display.densityPlot.SurfaceLayer.defaults1d = dict(linewidth=2, color='r')

static

Definition at line 181 of file densityPlot.py.

defaults2d

lsst.meas.modelfit.display.densityPlot.SurfaceLayer.defaults2d = dict(linewidths=2, cmap=matplotlib.cm.Reds)

static

Definition at line 182 of file densityPlot.py.

filled

lsst.meas.modelfit.display.densityPlot.SurfaceLayer.filled

Definition at line 188 of file densityPlot.py.

kwds1d

lsst.meas.modelfit.display.densityPlot.SurfaceLayer.kwds1d

Definition at line 189 of file densityPlot.py.

kwds2d

lsst.meas.modelfit.display.densityPlot.SurfaceLayer.kwds2d

Definition at line 190 of file densityPlot.py.

steps1d

lsst.meas.modelfit.display.densityPlot.SurfaceLayer.steps1d

Definition at line 186 of file densityPlot.py.

steps2d

lsst.meas.modelfit.display.densityPlot.SurfaceLayer.steps2d

Definition at line 187 of file densityPlot.py.

tag

lsst.meas.modelfit.display.densityPlot.SurfaceLayer.tag

Definition at line 185 of file densityPlot.py.

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

• /j/snowflake/release/lsstsw/stack/lsst-scipipe-0.7.0/Linux64/meas_modelfit/22.0.1-4-g44f2e3d+9e4ab0f4fa/python/lsst/meas/modelfit/display/densityPlot.py