def colorimage(red_data,
green_data,
blue_data,
panel=None,
colortable=None,
width=400,
height=400,
title="VisAD Color Image"):
"""
Display a color image, from three images <red_data>, <green_data>
and <blue_data>. <panel> is the name of a panel to put this into
(default= make a new one), <colortable> is a color table to use (def
= gray scale), <width> and <height> are the dimensions. <title> is
the phrase for the title bar. Returns a reference to the display.
"""
_comb_image = FieldImpl.combine([red_data, green_data, blue_data])
dom_1 = RealType.getRealType(domainType(_comb_image, 0))
dom_2 = RealType.getRealType(domainType(_comb_image, 1))
rng = rangeType(_comb_image)
maps = subs.makeMaps(dom_1, 'x', dom_2, 'y', rng[0], 'red', rng[1],
'green', rng[2], 'blue')
disp = subs.makeDisplay(maps)
subs.addData('comb', _comb_image, disp)
subs.setBoxSize(disp, .80)
subs.setAspectRatio(disp, float(width) / float(height))
subs.showDisplay(disp, width, height, title, None, None, panel)
return disp
def scatter(data_1, data_2, panel=None, pointsize=None, width=400, height=400, xlabel=None, ylabel=None, title="VisAD Scatter", bottom=None, top=None, color=None):
"""
Quick plot of a scatter diagram between <data_1> and <data_2>.
<panel> is the name of a panel to put this into (default= make a new
one), <pointsize> is the size of the scatter points (def = 1),
<width> and <height> are the dimensions, <xlabel> and <ylabel> are
the axes labels to use (def = names of data objects). <title> is
the phrase for the title bar. Returns a reference to the display.
"""
if isinstance(data_1,PyList) or isinstance(data_1,PyTuple):
data_1 = field('data_1',data_1)
if isinstance(data_2,PyList) or isinstance(data_2,PyTuple):
data_2 = field('data_2',data_2)
rng_1 = data_1.getType().getRange().toString()
rng_2 = data_2.getType().getRange().toString()
data = FieldImpl.combine((data_1,data_2))
maps = subs.makeMaps(getRealType(rng_1),"x", getRealType(rng_2),"y")
disp = subs.makeDisplay(maps)
subs.addData("data", data, disp, constantMaps=subs.makeColorMap(color))
subs.setBoxSize(disp, .70)
showAxesScales(disp,1)
#setAxesScalesFont(maps, Font("Monospaced", Font.PLAIN, 18))
if pointsize is not None: subs.setPointSize(disp, pointsize)
subs.setAspectRatio(disp, float(width)/float(height))
subs.showDisplay(disp,width,height,title,bottom,top,panel)
setAxesScalesLabel(maps, [xlabel, ylabel])
return disp
def scatter(data_1,
data_2,
panel=None,
pointsize=None,
width=400,
height=400,
xlabel=None,
ylabel=None,
title="VisAD Scatter",
bottom=None,
top=None,
color=None):
"""
Quick plot of a scatter diagram between <data_1> and <data_2>.
<panel> is the name of a panel to put this into (default= make a new
one), <pointsize> is the size of the scatter points (def = 1),
<width> and <height> are the dimensions, <xlabel> and <ylabel> are
the axes labels to use (def = names of data objects). <title> is
the phrase for the title bar. Returns a reference to the display.
"""
if isinstance(data_1, PyList) or isinstance(data_1, PyTuple):
data_1 = field('data_1', data_1)
if isinstance(data_2, PyList) or isinstance(data_2, PyTuple):
data_2 = field('data_2', data_2)
rng_1 = data_1.getType().getRange().toString()
rng_2 = data_2.getType().getRange().toString()
data = FieldImpl.combine((data_1, data_2))
maps = subs.makeMaps(getRealType(rng_1), "x", getRealType(rng_2), "y")
disp = subs.makeDisplay(maps)
subs.addData("data", data, disp, constantMaps=subs.makeColorMap(color))
subs.setBoxSize(disp, .70)
showAxesScales(disp, 1)
#setAxesScalesFont(maps, Font("Monospaced", Font.PLAIN, 18))
if pointsize is not None: subs.setPointSize(disp, pointsize)
subs.setAspectRatio(disp, float(width) / float(height))
subs.showDisplay(disp, width, height, title, bottom, top, panel)
setAxesScalesLabel(maps, [xlabel, ylabel])
return disp
def colorimage(red_data, green_data, blue_data, panel=None, colortable=None, width=400, height=400, title="VisAD Color Image"):
"""
Display a color image, from three images <red_data>, <green_data>
and <blue_data>. <panel> is the name of a panel to put this into
(default= make a new one), <colortable> is a color table to use (def
= gray scale), <width> and <height> are the dimensions. <title> is
the phrase for the title bar. Returns a reference to the display.
"""
_comb_image = FieldImpl.combine( [red_data, green_data, blue_data])
dom_1 = RealType.getRealType(domainType(_comb_image,0))
dom_2 = RealType.getRealType(domainType(_comb_image,1))
rng = rangeType(_comb_image)
maps = subs.makeMaps(dom_1,'x', dom_2, 'y', rng[0], 'red',
rng[1], 'green', rng[2], 'blue')
disp = subs.makeDisplay(maps)
subs.addData('comb',_comb_image,disp)
subs.setBoxSize(disp, .80)
subs.setAspectRatio(disp, float(width)/float(height))
subs.showDisplay(disp,width,height,title,None,None,panel)
return disp
