Xfig plot image (xfig example): Difference between revisions

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=== xfig plot image 'xfig_plot_image' ===


[[File:plotimage1.png]]
<pre>
  % Example 1: logscale
  variable x = [PI:10*PI:#100];
  variable y = [PI:5*PI:#80];
  variable IMG = sin(x) # transpose(cos(y));
  variable xf = xfig_plot_image( IMG, x*180/PI, y*180/PI;
                                        padx=0.025, pady=0.025,
                                          dx=-.5,
                                        xlog, ylog,
                                          fill=20
                                        );
  xf.render("/tmp/test.pdf");
</pre>


[[Category:Isis / Slang]]
[[File:plotimage2.png]]
==== 2D map SAA ====
<pre>
<pre>
require("isisscripts");


% load all the maps I want to plot:
  % Example 2: image of Example 1 but with gaps
% directory with electron and proton distributions
  variable tmp = [[1:30],[35:65],[75:115]];
variable epdir = "/userdata/data/hell/saa_rhessi/karten/";
   variable x = struct{ lo = tmp/11.5*PI, hi = (tmp+1)/11.5*PI };
% directory with the magnetic field information
   tmp = [[1:40],[50:90]];
variable magdir = "/userdata/data/hell/saa_rhessi/magnet/";
   variable y = struct{ lo = tmp/18.*PI, hi = (tmp+1)/18.*PI };
% the image names
   variable IMG = sin(x.lo) # transpose(cos(y.lo));
variable imgname = "/home/hell/Documents/saa_rhessi/map2003_75_570_cont";
   variable xf = xfig_plot_image( IMG, x, y ; cmap="drywet");
variable imgname_e = "/home/hell/Documents/saa_rhessi/map2003_75_570_cont_e";
   xf.render("/tmp/test.pdf");
variable imgname_p = "/home/hell/Documents/saa_rhessi/map2003_75_570_cont_p";
</pre>
% load the actual data
variable p = fits_read_img(epdir+"2003_75_a570.fits\[5]");
variable e = fits_read_img(epdir+"2003_75_a570.fits\[4]");
variable ep =  fits_read_img(epdir+"2003_75_a570.fits\[6]");
variable mag = fits_read_img(magdir+"bfield-570-2003.75.fits");
 
% define the values of the contour levels for the magnetic field
variable levels = int( [[19e3:27.5e3:2e3],[30e3:56e3:3e3]] );
% calculate the contours
variable cont = gcontour_compute(mag,levels);
 
% define a function to put the contour labels at a position in the map,
% where they hopefully do not look stupid, i.e., not too close to the edges
% of the plot or too pointy slopes of the curve.
% Here I go for the point of the contour which is farthest south
define cont_label(xf,xar,yar,level) %push xar by -180, yar by -90 !
{
   variable lx = length(xar);
  if( lx < 20)
    {
        xf.plot(xar,yar;width=1);
        return;
    }
  variable mx = where_min(yar);
  mx = mx[length(mx)/2];
 
  % leave enough space for the label, i.e., not to close to the axes
  if(mx < 10 or mx > lx-11) mx = where_max(yar);
  if(mx < 10 or mx > lx-11) mx = int(lx/4.);
   variable er = [mx-13:mx+14];
 
  % rotate the label such that it is parallel to the line
  variable x0 = xar[mx][0];
   variable y0 = yar[mx][0];
  variable rot = atan( (yar[mx-13]-yar[mx+14])/(xar[mx-13]-xar[mx+14]) ) *180./PI ;
  if (isnan(rot) ) rot = 0;
  variable label = xfig_new_text( string(level); rotate=rot, size="\scriptsize"R);
  xf.add_object( label ,x0,y0,0,0 );
 
  % for better legibility, draw a white rectangle between the map and the label
  variable xx = [0,0.95,0.95,0];
  variable yy = [0,0,.205,.205];
  variable xcorner = xx*cos(rot*PI/180.) - yy*sin(rot*PI/180.);
   variable ycorner = xx*sin(rot*PI/180.) + yy*cos(rot*PI/180.);
  xf.add_object( xfig_new_polyline( xcorner,ycorner;
                                    color="white", fillcolor="white"),
                  x0,y0,0,-.05);
 
  % finally, also plot the contour
  xf.plot(xar,yar;width=1);
}
 
 
% function to draw the map, the contours and the worldcoastlines, add x- and
% y-axes and a color scale
define draw_map_cont(image,cont,lev,filename, scaletitle,minv,maxv, scale)
{
  require("isisscripts");
  require("xfig");
  require("png");
  variable width = 15;
  variable height = 10;
 
  % define a rainbow color map, starting at white over purple-blue-green-yellow-orange to red.
  % array with 256 colors
  variable color =
    [
      0xFFFFFF, 0xD3D3FF, 0xC9C9FF, 0xC4C4FF, 0xBABAFF, 0xB5B5FF, 0xB0B0FF, 0xABABFF,
      0xA6A6FF, 0xA1A1FF, 0x9E9EFF, 0x9C9CFF, 0x9797FF, 0x9494FF, 0x9292FF, 0x8D8DFF,
      0x8A8AFF, 0x8888FF, 0x8383FF, 0x8080FF, 0x7E7EFF, 0x7979FF, 0x7676FF, 0x7474FF,
      0x6F6FFF, 0x6C6CFF, 0x6A6AFF, 0x6565FF, 0x6262FF, 0x6060FF, 0x5B5BFF, 0x5858FF,
      0x5656FF, 0x5151FF, 0x4E4EFF, 0x4C4CFF, 0x4747FF, 0x4444FF, 0x4242FF, 0x3D3DFF,
      0x3838FF, 0x3333FF, 0x2E2EFF, 0x2929FF, 0x2424FF, 0x1F1FFF,
      0x1A1AFF, 0x1515FF, 0x1010FF, 0x0B0BFF, 0x0606FF, 0x0000FF, 0x0006FF, 0x000BFF,
      0x0010FF, 0x0015FF, 0x001AFF, 0x001FFF, 0x0024FF, 0x0029FF, 0x002EFF, 0x0033FF,
      0x0038FF, 0x003DFF, 0x0042FF, 0x0047FF, 0x004CFF, 0x0051FF, 0x0056FF, 0x005BFF,
      0x0060FF, 0x0065FF, 0x006AFF, 0x006FFF, 0x0074FF, 0x0079FF, 0x007EFF, 0x0083FF,
      0x0088FF, 0x008DFF, 0x0092FF, 0x0097FF, 0x009CFF, 0x00A1FF, 0x00A6FF, 0x00ABFF,
      0x00B0FF, 0x00B5FF, 0x00BAFF, 0x00BFFF, 0x00C4FF, 0x00C9FF, 0x00CEFF, 0x00D3FF,
      0x00D8FF, 0x00DDFF, 0x00E2FF, 0x00E7FF, 0x00ECFF, 0x00F1FF, 0x00F6FF, 0x00FBFF,
      0x00FFFF, 0x00FFF6, 0x00FFF1, 0x00FFEC, 0x00FFE7, 0x00FFE2, 0x00FFDD, 0x00FFD8,
      0x00FFD3, 0x00FFCE, 0x00FFC9, 0x00FFC4, 0x00FFBF, 0x00FFBA, 0x00FFB5, 0x00FFB0,
      0x00FFAB, 0x00FFA6, 0x00FFA1, 0x00FF9C, 0x00FF97, 0x00FF92, 0x00FF8D, 0x00FF8D,
      0x00FF88, 0x00FF83, 0x00FF7E, 0x00FF79, 0x00FF74, 0x00FF6F, 0x00FF6A, 0x00FF65,
      0x00FF60, 0x00FF5B, 0x00FF56, 0x00FF51, 0x00FF4C, 0x00FF47, 0x00FF42, 0x00FF3D,
      0x00FF38, 0x00FF33, 0x00FF2E, 0x00FF29, 0x00FF24, 0x00FF1F, 0x00FF1A, 0x00FF15,
      0x00FF10, 0x00FF0B, 0x00FF06, 0x00FF00, 0x06FF00, 0x0BFF00, 0x10FF00, 0x15FF00,
      0x1AFF00, 0x1FFF00, 0x24FF00, 0x29FF00, 0x2EFF00, 0x33FF00, 0x38FF00, 0x3DFF00,
      0x42FF00, 0x47FF00, 0x4CFF00, 0x51FF00, 0x56FF00, 0x5BFF00, 0x60FF00, 0x65FF00,
      0x6AFF00, 0x6FFF00, 0x74FF00, 0x79FF00, 0x7EFF00, 0x83FF00, 0x88FF00, 0x8DFF00,
      0x92FF00, 0x97FF00, 0x9CFF00, 0xA1FF00, 0xA6FF00, 0xABFF00, 0xB0FF00, 0xB5FF00,
      0xBAFF00, 0xBFFF00, 0xC4FF00, 0xC9FF00, 0xCEFF00, 0xD3FF00, 0xD8FF00, 0xDDFF00,
      0xE2FF00, 0xE7FF00, 0xECFF00, 0xF1FF00, 0xF6FF00, 0xFBFF00, 0xFFFF00, 0xFFFB00,
      0xFFF600, 0xFFF100, 0xFFEC00, 0xFFE700, 0xFFE200, 0xFFDD00, 0xFFD800, 0xFFD300,
      0xFFCE00, 0xFFC900, 0xFFC400, 0xFFBF00, 0xFFBA00, 0xFFB500, 0xFFB000, 0xFFAB00,
      0xFFA600, 0xFFA100, 0xFF9C00, 0xFF9700, 0xFF9200, 0xFF8D00, 0xFF8800, 0xFF8300,
      0xFF7E00, 0xFF7900, 0xFF7400, 0xFF6F00, 0xFF6A00, 0xFF6500, 0xFF6000, 0xFF5B00,
      0xFF5600, 0xFF5100, 0xFF4C00, 0xFF4700, 0xFF4200, 0xFF3D00, 0xFF3800, 0xFF3300,
      0xFF2E00, 0xFF2900, 0xFF2400, 0xFF1F00, 0xFF1A00, 0xFF1500, 0xFF1000, 0xFF0B00,
      0xFF0600, 0xFF0000
    ];
  png_add_colormap ("rainbow_white", color);
 
  variable imagergb, scalearr, scalergb;
  variable m1 = xfig_plot_new (width, height);
   variable m2 = xfig_plot_new (0.5,height);
 
  % number of bins in either direction of the image
  variable nblat = length(image[*,0]);
  variable nblon = length(image[0,*]);
 
  % scaling (logarithmic or linear) of the color map
  if (scale == "log")
    {
        % convert the values in the image to colors
        imagergb = png_gray_to_rgb (log10(image),"rainbow_white";gmin = log10(minv), gmax = log10(maxv)) ;
        % save the image as png with png_write_flipped as the corner (0,0) of the image is top left,
        % but my world map scaling starts at the bottom left corner of the array (or something like that)
        png_write_flipped (filename+".png",imagergb[[0:nblat-1],[0:nblon-1]]) ;
 
        % create the key for the color scale
        scalearr = _reshape([log10(minv):log10(maxv):#256],[256,1]);
        scalergb = png_gray_to_rgb (scalearr, "rainbow_white");
        png_write_flipped ("scale.png", scalergb);
 
        m2.world (0, 1, minv, maxv; logy);
    }
   else if (scale == "lin")
    {
        imagergb = png_gray_to_rgb (image,"rainbow_white"; gmin = minv, gmax = maxv) ;
        png_write_flipped (filename+".png",imagergb[[0:nblat-1],[0:nblon-1]]) ;
 
        scalearr = _reshape([minv:maxv:#256],[256,1]);
        scalergb = png_gray_to_rgb (scalearr, "rainbow_white");
        png_write_flipped ("scale.png", scalergb);
 
        m2.world (0, 1, minv, maxv);
        %m2.world (minv, maxv, 0, 1);
    }
  else
    {
        ()=printf("Invalid scale: use \"log\" or \"lin\" \n");
        return;
    }
 
  % define the world coordinates for the image
  m1.world(-180,180, -90,90 ; xlin , ylin) ;
  m1.xlabel("Longitude") ;
  m1.ylabel("Latitude") ;
  % load the png image to frame with the coordinate system
  m1.plot_png(filename+".png") ;


  % define horizontal lines lines to indicate the tropes and the polar regions
[[Category:SLxfig]]
  variable fineness = 3600;
  variable tropics = struct{lon=[-180:179:#fineness], equat = ones(fineness)*0.,
                            cancer = ones(fineness)*23.43, capricorn = ones(fineness)*(-23.43),
                            arctic_north = ones(fineness)*66.55, arctic_south = ones(fineness)*(-66.55)};
 
  xfig_new_color("grey",0x808080);
  variable cl;
  % plot the world coast line
  foreach cl(WorldCoastLine())
    {
        m1.plot(cl.x, cl.y; width = 1, color="grey");
    }
  m1.plot(tropics.lon, tropics.equat ; width = 1, color="grey" );
  m1.plot(tropics.lon, tropics.cancer ; width = 1, color="grey" );
  m1.plot(tropics.lon, tropics.capricorn ; width = 1, color="grey" );
  m1.plot(tropics.lon, tropics.arctic_north ; width = 1, color="grey");
  m1.plot(tropics.lon, tropics.arctic_south ; width = 1, color="grey" );
 
  % draw the contour lines and their labels
  variable i,j;
  variable lx,mx,xar,yar,er,x0,y0,rot;
  _for i (0,length(cont)-1,1)
    {
        _for j (0,length(cont[i].x_list)-1,1)
          {
            cont_label(m1,cont[i].x_list[j]-180, cont[i].y_list[j]-90, lev[i]);
          }
    }
 
  m2.xaxis (;off);
  m2.yaxis (;off);
  m2.y2axis (;on);
  m2.x2axis (;off);
  m2.y2label(scaletitle);
  m2.plot_png("scale.png");
 
  % combine the map and the key to one image
  xfig_new_hbox_compound (m1, m2, 0.1).render(filename+".eps");
  % get rid of the redundant png file
  () = remove (filename + ".png");
}
 
% use the above function to plot as many SAA/magentic field maps as you wish:
% electron to proton ratio
draw_map_cont(ep, cont,levels, imgname, "electrons per proton",0.5,50.,"log");
% electrons
draw_map_cont(e, cont,levels, imgname_e, "electrons",0.05,4000.,"log");
%protons
draw_map_cont(p, cont,levels, imgname_p, "protons",0.05,4000.,"log");
 
</pre>

Latest revision as of 11:26, 17 April 2018

xfig plot image 'xfig_plot_image'

   % Example 1: logscale
   variable x = [PI:10*PI:#100];
   variable y = [PI:5*PI:#80];
   variable IMG = sin(x) # transpose(cos(y));
   variable xf = xfig_plot_image( IMG, x*180/PI, y*180/PI;
                                         padx=0.025, pady=0.025,
                                          dx=-.5,
                                         xlog, ylog,
                                          fill=20
                                        );
   xf.render("/tmp/test.pdf");



   % Example 2: image of Example 1 but with gaps
   variable tmp = [[1:30],[35:65],[75:115]];
   variable x = struct{ lo = tmp/11.5*PI, hi = (tmp+1)/11.5*PI };
   tmp = [[1:40],[50:90]];
   variable y = struct{ lo = tmp/18.*PI, hi = (tmp+1)/18.*PI };
   variable IMG = sin(x.lo) # transpose(cos(y.lo));
   variable xf = xfig_plot_image( IMG, x, y ; cmap="drywet");
   xf.render("/tmp/test.pdf");
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