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 lineplot(data, panel=None, color=None, width=400, height=400, title="Line Plot"): """ Quick plot of a line plot from <data>. <panel> is the name of a panel to put this into (default= make a new one), <color> is the color to use, <width> and <height> are the dimensions, <title> is the phrase for the title bar. Returns a reference to the display. """ if isinstance(data,PyTuple) or isinstance(data,PyList): data = field(data) domt = domainType(data) rngt = rangeType(data) xaxis = ScalarMap(domt[0], Display.XAxis) if isinstance(rngt,RealTupleType): yaxis = ScalarMap(rngt[0], Display.YAxis) else: yaxis = ScalarMap(rngt, Display.YAxis) axes = (xaxis, yaxis) disp = subs.makeDisplay( axes ) constmap = subs.makeColorMap(color) dr=subs.addData("Lineplot", data, disp, constmap) subs.setBoxSize(disp, .70) showAxesScales(disp, 1) setAxesScalesFont(axes, Font("Monospaced", Font.PLAIN, 18)) 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 histogram(data, bins=20, width=400, height=400, title="VisAD Histogram", color=None, bottom=None, top=None, panel=None, clip=1): """ Quick plot of a histogram from <data>. <bins> is the number of bins to use (def = 20), <panel> is the name of a panel to put this into (default= make a new one), <color> is the color to use, <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) from java.lang.Math import abs x=[] y=[] h = hist(data, [0], [bins]) dom = getDomain(h) d = dom.getSamples() step2 = dom.getStep()/2 hmin = h[0].getValue() hmax = hmin for i in range(0,len(h)): hval = h[i].getValue() if hval < hmin: hmin = hval if hval > hmax: hmax = hval for i in range(0,len(h)): xm = d[0][i]-step2 xp = d[0][i]+step2 x.append(xm) y.append(hmin) x.append(xm) hval = h[i].getValue() y.append(hval) x.append(xp) y.append(hval) x.append(xp) y.append(hmin) domt = domainType(h) rngt = rangeType(h) xaxis = ScalarMap(domt[0], Display.XAxis) yaxis = ScalarMap(rngt, Display.YAxis) yaxis.setRange(hmin, hmax + abs(hmax * .05)) disp = subs.makeDisplay( (xaxis, yaxis) ) subs.drawLine(disp, (x,y), mathtype=(domt[0],rngt), color=color) showAxesScales(disp,1) subs.setBoxSize(disp,.65,clip) subs.setAspectRatio(disp, float(width)/float(height)) subs.showDisplay(disp,width,height,title,bottom,top,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 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 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 lineplot(data, panel=None, color=None, width=400, height=400, title="Line Plot"): """ Quick plot of a line plot from <data>. <panel> is the name of a panel to put this into (default= make a new one), <color> is the color to use, <width> and <height> are the dimensions, <title> is the phrase for the title bar. Returns a reference to the display. """ if isinstance(data, PyTuple) or isinstance(data, PyList): data = field(data) domt = domainType(data) rngt = rangeType(data) xaxis = ScalarMap(domt[0], Display.XAxis) if isinstance(rngt, RealTupleType): yaxis = ScalarMap(rngt[0], Display.YAxis) else: yaxis = ScalarMap(rngt, Display.YAxis) axes = (xaxis, yaxis) disp = subs.makeDisplay(axes) constmap = subs.makeColorMap(color) dr = subs.addData("Lineplot", data, disp, constmap) subs.setBoxSize(disp, .70) showAxesScales(disp, 1) setAxesScalesFont(axes, Font("Monospaced", Font.PLAIN, 18)) subs.setAspectRatio(disp, float(width) / float(height)) subs.showDisplay(disp, width, height, title, None, None, panel) 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
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 animation(data, width=400, height=500, title="VisAD Animation"): """ Quick plot of an animation. <data> is a list/tuple of iamges to animate. <width> and <height> are the size, and <title> is the label for the titlebar. Returns a reference to the display. """ num_frames = len(data) frames = RealType.getRealType("frames") frames_type = RealTupleType(frames) image_type = data[0].getType() ndom = domainDimension(data[0]) if ndom != 2: print "domain dimension must be 2!" return None dom_1 = RealType.getRealType(domainType(data[0], 0)) dom_2 = RealType.getRealType(domainType(data[0], 1)) nrng = rangeDimension(data[0]) if (nrng != 3) and (nrng != 1): print "range dimension must be 1 or 3" return None # now create display scalar maps maps = None rng_1 = rangeType(data[0], 0) if nrng == 3: rng_2 = rangeType(data[0], 1) rng_3 = rangeType(data[0], 2) rng_red = None if (rng_1 == "Red"): rng_red = rng_1 if (rng_2 == "Red"): rng_red = rng_2 if (rng_3 == "Red"): rng_red = rng_3 rng_green = None if (rng_1 == "Green"): rng_green = rng_1 if (rng_2 == "Green"): rng_green = rng_2 if (rng_3 == "Green"): rng_green = rng_3 rng_blue = None if (rng_1 == "Blue"): rng_blue = rng_1 if (rng_2 == "Blue"): rng_blue = rng_2 if (rng_3 == "Blue"): rng_blue = rng_3 if (rng_red is None) or (rng_green is None) or (rng_blue is None): print "3 Range components must be Red, Green and Blue" else: maps = subs.makeMaps(dom_1, "x", dom_2, "y", RealType.getRealType(rng_red), "red", RealType.getRealType(rng_green), "green", RealType.getRealType(rng_blue), "blue") else: maps = subs.makeMaps(dom_1, "x", dom_2, "y", RealType.getRealType(rng_1), "rgb") frame_images = FunctionType(frames_type, image_type) frame_set = makeDomain(frames, 0, num_frames - 1, num_frames) frame_seq = FieldImpl(frame_images, frame_set) for i in range(0, num_frames): frame_seq.setSample(i, data[i]) disp = subs.makeDisplay(maps) animap = ScalarMap(frames, Display.Animation) disp.addMap(animap) refimg = subs.addData("VisAD_Animation", frame_seq, disp) widget = AnimationWidget(animap, 500) subs.setAspectRatio(disp, float(width) / float(height)) myAnimFrame(disp, widget, width, height, "Animation") return disp
def histogram(data, bins=20, width=400, height=400, title="VisAD Histogram", color=None, bottom=None, top=None, panel=None, clip=1): """ Quick plot of a histogram from <data>. <bins> is the number of bins to use (def = 20), <panel> is the name of a panel to put this into (default= make a new one), <color> is the color to use, <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) from java.lang.Math import abs x = [] y = [] h = hist(data, [0], [bins]) dom = getDomain(h) d = dom.getSamples() step2 = dom.getStep() / 2 hmin = h[0].getValue() hmax = hmin for i in range(0, len(h)): hval = h[i].getValue() if hval < hmin: hmin = hval if hval > hmax: hmax = hval for i in range(0, len(h)): xm = d[0][i] - step2 xp = d[0][i] + step2 x.append(xm) y.append(hmin) x.append(xm) hval = h[i].getValue() y.append(hval) x.append(xp) y.append(hval) x.append(xp) y.append(hmin) domt = domainType(h) rngt = rangeType(h) xaxis = ScalarMap(domt[0], Display.XAxis) yaxis = ScalarMap(rngt, Display.YAxis) yaxis.setRange(hmin, hmax + abs(hmax * .05)) disp = subs.makeDisplay((xaxis, yaxis)) subs.drawLine(disp, (x, y), mathtype=(domt[0], rngt), color=color) showAxesScales(disp, 1) subs.setBoxSize(disp, .65, clip) subs.setAspectRatio(disp, float(width) / float(height)) subs.showDisplay(disp, width, height, title, bottom, top, panel) return disp
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
def animation(data, width=400, height=500, title="VisAD Animation"): """ Quick plot of an animation. <data> is a list/tuple of iamges to animate. <width> and <height> are the size, and <title> is the label for the titlebar. Returns a reference to the display. """ num_frames = len(data) frames = RealType.getRealType("frames") frames_type = RealTupleType( frames ) image_type = data[0].getType() ndom = domainDimension(data[0]) if ndom != 2: print "domain dimension must be 2!" return None dom_1 = RealType.getRealType(domainType(data[0],0) ) dom_2 = RealType.getRealType(domainType(data[0],1)) nrng = rangeDimension(data[0]) if (nrng != 3) and (nrng != 1): print "range dimension must be 1 or 3" return None # now create display scalar maps maps = None rng_1 = rangeType(data[0],0) if nrng == 3: rng_2 = rangeType(data[0],1) rng_3 = rangeType(data[0],2) rng_red = None if (rng_1 == "Red"): rng_red = rng_1 if (rng_2 == "Red"): rng_red = rng_2 if (rng_3 == "Red"): rng_red = rng_3 rng_green = None if (rng_1 == "Green"): rng_green = rng_1 if (rng_2 == "Green"): rng_green = rng_2 if (rng_3 == "Green"): rng_green = rng_3 rng_blue = None if (rng_1 == "Blue"): rng_blue = rng_1 if (rng_2 == "Blue"): rng_blue = rng_2 if (rng_3 == "Blue"): rng_blue = rng_3 if (rng_red is None) or (rng_green is None) or (rng_blue is None): print "3 Range components must be Red, Green and Blue" else: maps = subs.makeMaps(dom_1,"x", dom_2,"y", RealType.getRealType(rng_red), "red", RealType.getRealType(rng_green), "green", RealType.getRealType(rng_blue), "blue") else: maps = subs.makeMaps(dom_1,"x", dom_2, "y", RealType.getRealType(rng_1), "rgb") frame_images = FunctionType(frames_type, image_type) frame_set = makeDomain(frames, 0, num_frames-1, num_frames) frame_seq = FieldImpl(frame_images, frame_set) for i in range(0,num_frames): frame_seq.setSample(i, data[i]) disp = subs.makeDisplay(maps) animap = ScalarMap(frames, Display.Animation) disp.addMap(animap) refimg = subs.addData("VisAD_Animation", frame_seq, disp) widget = AnimationWidget(animap, 500) subs.setAspectRatio(disp, float(width)/float(height)) myAnimFrame(disp, widget, width, height, "Animation") return disp
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