classes beginline fastflush menu_tool show color flush nearest size color_all hinton observe unmap color_list label printfile variable colormap len_scale push_selected view erase line rotate view_count erase_all mark save_name exec_menu menu_action scaleClass for making a Shape window useful for coloring a shape according to a variable value and creating time and space graphs of a variable. The default variable is v. The first arg may be a SectionList.
PlotShape
.scale(low, high) sets blue and red values for the color scale and default axes for time and space plots?2 view
PlotShape
PlotShape
PlotShape
PlotShape
PlotShape
shapeplot.fastflush()
PlotShape
.variable("rangevar") Range variable (v, m_hh, etc.) to be used for time, space, and shape plots. ?2 save_name
PlotShape
PlotShape
PlotShape
PlotShape
PlotShape
PlotShape
PlotShape
PlotShape
PlotShape
PlotShape
PlotShape
PlotShape
PlotShape
PlotShape
PlotShape
section shape.color(i).color_list
PlotShape
.color_all(i)
PlotShape
.color_list(SectionList, i)
PlotShape
s.colormap(size, [global = 0])s.colormap(index, red, green, blue)With a single argument, destroys the old and creates a new colormap for shape plots with space for size colors. All colors are initialized to gray.
The four argument syntax, specifies the color of the index element of the colormap. the red, green, and blue must be integers within the range 0-255 and specify the intensity of these colors.
If an existing colormap is displayed in the view, it will be redrawn with the proper colors when scale is called.
PlotShape
s.hinton(&varname, x, y, size)s.hinton(&varname, x, y, xsize, ysize)If there are many of these elements then fastflush can speed plotting by up to a factor of 4 if not too many elements change color between fastflush calls.
create soma
access soma
objref sl
sl = new SectionList()
objref s
s = new PlotShape(sl)
s.colormap(3)
s.colormap(0, 255, 0, 0)
s.colormap(1, 255, 255, 0)
s.colormap(2, 200, 200, 200)
s.scale(0, 2)
objref vec
nx = 30
ny = 30
vec = new Vector(nx*ny)
vec.fill(0)
for i=0,nx-1 for j=0,ny-1 {
s.hinton(&vec.x[i*ny + j], i/nx, j/ny, 1/nx)
}
s.size(-.5, 1, 0, 1)
s.exec_menu("Shape Plot")
objref r
r = new Random()
r.poisson(.01)
doNotify()
proc p() {local i
for i=1,1000 {
vec.setrand(r)
s.fastflush() // faster by up to a factor of 4
// s.flush()
doNotify()
}
}
{startsw() p() print stopsw() }
PlotShape
section shape.len_scale(scl)
PlotShape
shape.rotate()shape.rotate(xorg, yorg, zorg, xrad, yrad, zrad)