def image(data,
panel=None,
colortable=None,
width=400,
height=400,
title="VisAD Image"):
"""
Display an image with a gray scale color mapping. <data> contains
the image, <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.
"""
if isinstance(data, PyList) or isinstance(data, PyTuple):
data = field(data)
dom_1 = RealType.getRealType(domainType(data, 0))
dom_2 = RealType.getRealType(domainType(data, 1))
rng = RealType.getRealType(rangeType(data, 0))
rngMap = ScalarMap(rng, Display.RGB)
xMap = ScalarMap(dom_1, Display.XAxis)
yMap = ScalarMap(dom_2, Display.YAxis)
maps = (xMap, yMap, rngMap)
#disp = subs.makeDisplay2D(maps)
disp = subs.makeDisplay(maps)
if colortable is None:
# make a gray-scale table
gray = []
for i in range(0, 255):
gray.append(float(i) / 255.)
colortable = (gray, gray, gray)
rngMap.getControl().setTable(colortable)
dr = subs.addData("brightness", data, disp)
subs.setBoxSize(disp, .80)
subs.setAspectRatio(disp, float(width) / float(height))
subs.showDisplay(disp, width, height, title, None, None, panel)
return disp
def image(data, panel=None, colortable=None, width=400, height=400, title="VisAD Image"):
"""
Display an image with a gray scale color mapping. <data> contains
the image, <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.
"""
if isinstance(data,PyList) or isinstance(data,PyTuple):
data = field(data)
dom_1 = RealType.getRealType(domainType(data,0) )
dom_2 = RealType.getRealType(domainType(data,1))
rng = RealType.getRealType(rangeType(data,0))
rngMap = ScalarMap(rng, Display.RGB)
xMap = ScalarMap(dom_1, Display.XAxis)
yMap = ScalarMap(dom_2, Display.YAxis)
maps = (xMap, yMap, rngMap)
#disp = subs.makeDisplay2D(maps)
disp = subs.makeDisplay(maps)
if colortable is None:
# make a gray-scale table
gray = []
for i in range(0,255):
gray.append( float(i)/255.)
colortable = (gray, gray, gray)
rngMap.getControl().setTable(colortable)
dr=subs.addData("brightness", data, disp)
subs.setBoxSize(disp, .80)
subs.setAspectRatio(disp, float(width)/float(height))
subs.showDisplay(disp,width,height,title,None,None,panel)
return disp
def contour(data,
panel=None,
enableLabels=1,
interval=None,
width=400,
height=400,
title="VisAD Contour Plot"):
"""
Quick plot of a contour (isopleth) from <data>. <panel> is the name
of a panel to put this into (default= make a new one),
<enableLabels> controls whether the contour lines will be labelled,
<interval[4]> is a list containing the contour interval info
(interval, minimum, maximum, base), <width> and <height> are the
dimensions, <title> is the phrase for the title bar. Returns a
reference to the display.
"""
if isinstance(data, PyList) or isinstance(data, PyTuple):
data = field(data)
ndom = domainDimension(data)
if ndom != 2:
print "domain dimension must be 2!"
return None
dom_1 = RealType.getRealType(domainType(data, 0))
dom_2 = RealType.getRealType(domainType(data, 1))
rng = RealType.getRealType(rangeType(data, 0))
rngMap = ScalarMap(rng, Display.IsoContour)
xMap = ScalarMap(dom_1, Display.XAxis)
yMap = ScalarMap(dom_2, Display.YAxis)
maps = (xMap, yMap, rngMap)
disp = subs.makeDisplay(maps)
ci = rngMap.getControl()
ci.enableLabels(enableLabels)
if interval is not None:
ci.setContourInterval(interval[0], interval[1], interval[2],
interval[3])
dr = subs.addData("contours", data, disp)
subs.setBoxSize(disp, .80)
subs.setAspectRatio(disp, float(width) / float(height))
subs.showDisplay(disp, width, height, title, None, None, panel)
return disp
def contour(data, panel=None, enableLabels=1, interval=None, width=400, height=400, title="VisAD Contour Plot"):
"""
Quick plot of a contour (isopleth) from <data>. <panel> is the name
of a panel to put this into (default= make a new one),
<enableLabels> controls whether the contour lines will be labelled,
<interval[4]> is a list containing the contour interval info
(interval, minimum, maximum, base), <width> and <height> are the
dimensions, <title> is the phrase for the title bar. Returns a
reference to the display.
"""
if isinstance(data,PyList) or isinstance(data,PyTuple):
data = field(data)
ndom = domainDimension(data)
if ndom != 2:
print "domain dimension must be 2!"
return None
dom_1 = RealType.getRealType(domainType(data,0) )
dom_2 = RealType.getRealType(domainType(data,1))
rng = RealType.getRealType(rangeType(data,0))
rngMap = ScalarMap(rng, Display.IsoContour)
xMap = ScalarMap(dom_1, Display.XAxis)
yMap = ScalarMap(dom_2, Display.YAxis)
maps = (xMap, yMap, rngMap)
disp = subs.makeDisplay(maps)
ci = rngMap.getControl()
ci.enableLabels(enableLabels)
if interval is not None:
ci.setContourInterval(interval[0], interval[1], interval[2], interval[3])
dr=subs.addData("contours", data, disp)
subs.setBoxSize(disp, .80)
subs.setAspectRatio(disp, float(width)/float(height))
subs.showDisplay(disp,width,height,title,None,None,panel)
return disp
domain = makeDomain(RealType.Time, date[0].getValue(), date[9].getValue(),10)
ftype = FunctionType(RealType.Time, ptdata[0].getType())
field = FieldImpl(ftype, domain)
ftype2 = FunctionType(RealType.Time, img[0].getType())
field2 = FieldImpl(ftype2, domain)
for t in range(10):
field.setSample(t,ptdata[t])
field2.setSample(t,img[t])
constImageMap = (ConstantMap(-1.0, Display.ZAxis), )
imgRange = rangeType(img[0])
rngMap = ScalarMap(imgRange[0], Display.RGB)
disp.addMap(rngMap)
gray=[]
for i in xrange(255):
gray.append(float(i)/255.)
colorTable = (gray, gray, gray)
rngMap.getControl().setTable(colorTable)
addData("winds", field, disp, renderer=BarbRendererJ3D() )
addData("basemap", a, disp, constBaseMap)
addData("image", field2, disp, constImageMap, renderer=ImageRendererJ3D() )
rw = SelectRangeWidget(maps[6])
aw = AnimationWidget(maps[7], 200)
showDisplay(disp, 400, 400, "GWINDEX Winds", bottom=rw, top=aw)
def mapimage(imagedata,
mapfile="outlsupw",
panel=None,
colortable=None,
width=400,
height=400,
lat=None,
lon=None,
title="VisAD Image and Map"):
"""
Display an image with a basemap. <imagedata> is the image object,
<mapfile> is the name of the map file to use (def = outlsupw).
<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. <lat> and <lon> are
lists/tuples of the range (min->max) of the domain (def = compute
them). <title> is the phrase for the title bar. Returns a reference
to the display.
"""
rng = RealType.getRealType(rangeType(imagedata, 0))
rngMap = ScalarMap(rng, Display.RGB)
xMap = ScalarMap(RealType.Longitude, Display.XAxis)
yMap = ScalarMap(RealType.Latitude, Display.YAxis)
maps = (xMap, yMap, rngMap)
dom = getDomain(imagedata)
xc = dom.getX()
yc = dom.getY()
xl = len(xc)
yl = len(yc)
if xl > 1024 or yl > 1024:
print "Resampling image from", yl, "x", xl, "to", min(yl,
1024), "x", min(
xl, 1024)
imagedata = resample(
imagedata,
makeDomain(dom.getType(), xc.getFirst(), xc.getLast(),
min(xl,
1024), yc.getFirst(), yc.getLast(), min(yl, 1024)))
if lat is None or lon is None:
c = dom.getCoordinateSystem()
ll = c.toReference(((0, 0, xl, xl), (0, yl, 0, yl)))
import java.lang.Double.NaN as missing
if (min(ll[0]) == missing) or (min(ll[1]) == missing) or (min(
ll[1]) == max(ll[1])) or (min(ll[0]) == max(ll[0])):
# compute delta from mid-point...as an estimate
xl2 = xl / 2.0
yl2 = yl / 2.0
ll2 = c.toReference(((xl2, xl2, xl2, xl2 - 10, xl2 + 10),
(yl2, yl2 - 10, yl2 + 10, yl2, yl2)))
dlon = abs((ll2[1][4] - ll2[1][3]) * xl / 40.) + abs(
(ll2[0][4] - ll2[0][3]) * yl / 40.)
dlat = abs((ll2[0][2] - ll2[0][1]) * yl / 40.) + abs(
(ll2[1][2] - ll2[1][1]) * xl / 40.)
lonmin = max(-180., min(ll2[1][0] - dlon, min(ll[1])))
lonmax = min(360., max(ll2[1][0] + dlon, max(ll[1])))
latmin = max(-90., min(ll2[0][0] - dlat, min(ll[0])))
latmax = min(90., max(ll2[0][0] + dlat, min(ll[0])))
xMap.setRange(lonmin, lonmax)
yMap.setRange(latmin, latmax)
print "computed lat/lon bounds=", latmin, latmax, lonmin, lonmax
else:
xMap.setRange(min(ll[1]), max(ll[1]))
yMap.setRange(min(ll[0]), max(ll[0]))
else:
yMap.setRange(lat[0], lat[1])
xMap.setRange(lon[0], lon[1])
disp = subs.makeDisplay(maps)
if colortable is None:
# make a gray-scale table
gray = []
for i in range(0, 255):
gray.append(float(i) / 255.)
colortable = (gray, gray, gray)
rngMap.getControl().setTable(colortable)
mapdata = load(mapfile)
drm = subs.addData("basemap", mapdata, disp)
dr = subs.addData("addeimage", imagedata, disp)
subs.setBoxSize(disp, .80, clip=1)
subs.setAspectRatio(disp, float(width) / float(height))
subs.showDisplay(disp, width, height, title, None, None, panel)
return disp
#domain = makeDomain(RealType.Time, date[0].getValue(), date[2].getValue(),3)
domain = makeDomain(RealType.Time, date[0].getValue(), date[9].getValue(), 10)
ftype = FunctionType(RealType.Time, ptdata[0].getType())
field = FieldImpl(ftype, domain)
ftype2 = FunctionType(RealType.Time, img[0].getType())
field2 = FieldImpl(ftype2, domain)
for t in range(10):
field.setSample(t, ptdata[t])
field2.setSample(t, img[t])
constImageMap = (ConstantMap(-1.0, Display.ZAxis), )
imgRange = rangeType(img[0])
rngMap = ScalarMap(imgRange[0], Display.RGB)
disp.addMap(rngMap)
gray = []
for i in xrange(255):
gray.append(float(i) / 255.)
colorTable = (gray, gray, gray)
rngMap.getControl().setTable(colorTable)
addData("winds", field, disp, renderer=BarbRendererJ3D())
addData("basemap", a, disp, constBaseMap)
addData("image", field2, disp, constImageMap, renderer=ImageRendererJ3D())
rw = SelectRangeWidget(maps[6])
aw = AnimationWidget(maps[7], 200)
showDisplay(disp, 400, 400, "GWINDEX Winds", bottom=rw, top=aw)
def mapimage(imagedata, mapfile="outlsupw", panel=None, colortable=None, width=400, height=400, lat=None, lon=None, title="VisAD Image and Map"):
"""
Display an image with a basemap. <imagedata> is the image object,
<mapfile> is the name of the map file to use (def = outlsupw).
<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. <lat> and <lon> are
lists/tuples of the range (min->max) of the domain (def = compute
them). <title> is the phrase for the title bar. Returns a reference
to the display.
"""
rng = RealType.getRealType(rangeType(imagedata,0))
rngMap = ScalarMap(rng, Display.RGB)
xMap = ScalarMap(RealType.Longitude, Display.XAxis)
yMap = ScalarMap(RealType.Latitude, Display.YAxis)
maps = (xMap, yMap, rngMap)
dom = getDomain(imagedata)
xc = dom.getX()
yc = dom.getY()
xl = len(xc)
yl = len(yc)
if xl > 1024 or yl > 1024:
print "Resampling image from",yl,"x",xl,"to",min(yl,1024),"x",min(xl,1024)
imagedata = resample(imagedata, makeDomain(dom.getType(),
xc.getFirst(), xc.getLast(), min(xl, 1024),
yc.getFirst(), yc.getLast(), min(yl, 1024) ) )
if lat is None or lon is None:
c=dom.getCoordinateSystem()
ll = c.toReference( ( (0,0,xl,xl),(0,yl,0,yl) ) )
import java.lang.Double.NaN as missing
if (min(ll[0]) == missing) or (min(ll[1]) == missing) or (min(ll[1]) == max(ll[1])) or (min(ll[0]) == max(ll[0])):
# compute delta from mid-point...as an estimate
xl2 = xl/2.0
yl2 = yl/2.0
ll2 = c.toReference( (
(xl2,xl2,xl2,xl2-10, xl2+10),(yl2,yl2-10,yl2+10,yl2,yl2)))
dlon = abs((ll2[1][4] - ll2[1][3])*xl/40.) + abs((ll2[0][4] - ll2[0][3])*yl/40.)
dlat = abs((ll2[0][2] - ll2[0][1])*yl/40.) + abs((ll2[1][2] - ll2[1][1])*xl/40.)
lonmin = max( -180., min(ll2[1][0] - dlon, min(ll[1])))
lonmax = min( 360., max(ll2[1][0] + dlon, max(ll[1])))
latmin = max(-90., min(ll2[0][0] - dlat, min(ll[0])))
latmax = min(90., max(ll2[0][0] + dlat, min(ll[0])))
xMap.setRange(lonmin, lonmax)
yMap.setRange(latmin, latmax)
print "computed lat/lon bounds=",latmin,latmax,lonmin,lonmax
else:
xMap.setRange(min(ll[1]), max(ll[1]))
yMap.setRange(min(ll[0]), max(ll[0]))
else:
yMap.setRange(lat[0], lat[1])
xMap.setRange(lon[0], lon[1])
disp = subs.makeDisplay(maps)
if colortable is None:
# make a gray-scale table
gray = []
for i in range(0,255):
gray.append( float(i)/255.)
colortable = (gray, gray, gray)
rngMap.getControl().setTable(colortable)
mapdata = load(mapfile)
drm = subs.addData("basemap", mapdata, disp)
dr=subs.addData("addeimage", imagedata, disp)
subs.setBoxSize(disp, .80, clip=1)
subs.setAspectRatio(disp, float(width)/float(height))
subs.showDisplay(disp,width,height,title,None,None,panel)
return disp