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internal:administration:idl [2025/07/22 07:34] – [execute shell command : SPAWN] janinternal:administration:idl [2025/11/25 14:42] (current) – [symboltypes] jan
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 We have several possibilities: We have several possibilities:
  
-  * adapt the LD_LIBRARY_PATH from within IDL before invoking SPAWN. This was proposed to me : [[https://www.nv5geospatialsoftware.com/Support/Forums/aft/8650 in the IDL forum]] for the PAtH variable but maybe IDL will have problems with that:+  * adapt the LD_LIBRARY_PATH from within IDL before invoking SPAWN. This was proposed to me : [[https://www.nv5geospatialsoftware.com/Support/Forums/aft/8650 in the IDL forum]] for the PAtH variable but maybe IDL will have problems with that. And you should do this only once to avoid an extremly long path with only your prepended entry.
       %%SETENV, 'LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu/:'+GETENV('LD_LIBRARY_PATH')%%       %%SETENV, 'LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu/:'+GETENV('LD_LIBRARY_PATH')%%
  
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       %%SPAWN, 'LD_LIBRARY_PATH=/usr/lib:$LD_LIBRARY_PATH; your_command_here'%%       %%SPAWN, 'LD_LIBRARY_PATH=/usr/lib:$LD_LIBRARY_PATH; your_command_here'%%
  
-  * or even simpler unset this path variable in SPAWN: it is not needed as we are not doing IDL specific things:+  * or even simpler unset this path variable in SPAWN: it is not needed as we are not doing IDL specific things, and when SPAWN is finished this is forgotten again.
       %%SPAWN, 'unset LD_LIBRARY_PATH; your_command_here'%%       %%SPAWN, 'unset LD_LIBRARY_PATH; your_command_here'%%
 +
 +According to IDL help about [[https://www.nv5geospatialsoftware.com/docs/Environment_Variables.html | Environment variables]] LD_LIBRARY_PATH is used for the Java libraries - i.e. probably for the IDE and its graphical interface. That means if you do not use the IDE the first solution will have no problems.
  
 Check with curl: Check with curl:
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    1 => Plus sign (+)     1 => Plus sign (+) 
    2 => Asterisk (*)     2 => Asterisk (*) 
-   3 => Period (.) +   3 => one pixel dot (.) 
    4 => Diamond     4 => Diamond 
-   5 => Triangle 'up'+   5 => Triangle up (if symsize>0)  or down if symsize<0
    6 => Square     6 => Square 
    7 => X     7 => X 
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 ==== transparency ==== ==== transparency ====
  
-IDL does not know transparent overlays but on pixel based devices you can implement it with TVRD and TVRD.+IDL does not know transparent overlays but on pixel based devices you can implement it with TVRD and TV.
 Lets assume you want to put a bitmap BMP with size Nx, Ny at a position x0 y0 (pixels) with a tranparency factor of q_tra: Lets assume you want to put a bitmap BMP with size Nx, Ny at a position x0 y0 (pixels) with a tranparency factor of q_tra:
  
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 %%-dGraphicsAlphaBits=1%% avoids gridlines after rastering (http://www.idlcoyote.com/ps_tips/psstripes.html), \\ %%-dGraphicsAlphaBits=1%% avoids gridlines after rastering (http://www.idlcoyote.com/ps_tips/psstripes.html), \\
 %%-dEPSCrop%% crops the image at the bounding box. %%-dEPSCrop%% crops the image at the bounding box.
 +
 +You can execute gs from within IDL with the SPAWN command. As of IDL 9.x you need to prepend a ''unset LD_LIBRARY_PATH'' because IDL try to ensure its own (outdated) libraries for any spawn call:
 +  SPAWN, 'unset LD_LIBRARY_PATH; gs -dSAFER -dBATCH -dNOPAUSE -sDEVICE=png16m -r120 -dTextAlphaBits=4 -dGraphicsAlphaBits=1 -dEPSCrop -sOutputFile='+plt_name+'.png '+pl_name+'.eps', result, err_result
 +
 ==== postscript -> PDF ==== ==== postscript -> PDF ====
  
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 A one dimensional histogram is e.g. generated with A one dimensional histogram is e.g. generated with
  
-  histo = histogram( data , binsize=bin, locations = classes , /nan )+  binsize = 0.1 
 +  histo = histogram( data , binsize=binsize, locations = classes , /nan )
  
 the classes variable will contain the **lower borders** of the bins with the first bin starting at min(data). \\ the classes variable will contain the **lower borders** of the bins with the first bin starting at min(data). \\
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 or you write an own plot-histo procedure ... or you ask jan :-) ... or you write an own plot-histo procedure ... or you ask jan :-) ...
 +
 +
 +A histogram with geometric spacing, i.e. each bin is by a factor q_bin larger than the previous.\\
 +In this case data points lower or equal to zero are not allowed:
 +  q_bin = 2.0
 +  log_binsize = alog10(q_bin)
 +  histo = histogram( alog10(data[where(data gt 0)]), binsize=log_binsize, locations = log_bins, /nan )
 +  classes = 10^log_bins
 +
 +Plotting shall use then logarithmic scaling for the x-axes:
 +
 +    plot, classes , histo , psym=10, $
 +      xtitle = 'class (unit)', $
 +      ytitle = 'freq.', $
 +      /xlog
 +
  
 === 2-D histogram === === 2-D histogram ===
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   max_data_1 = max(data_1, /nan )   max_data_1 = max(data_1, /nan )
   N_bins_1 = fix((max_data_1-min_data_1)/bin_size_1)+1   N_bins_1 = fix((max_data_1-min_data_1)/bin_size_1)+1
-  bins_1 = min_data_1 + (findgen(N_bins_1) + 0.5) * bin_size_1 ; output of histo refers to lower border of bins => add 1/2binsize to center them in bin+  ; output of histo refers to lower border of bins => add 1/2binsize to center them in bin 
 +  bins_1 = min_data_1 + (findgen(N_bins_1) + 0.5) * bin_size_1 
        
   ; set bin-size, min and max and vector with bin-borders for data set 2   ; set bin-size, min and max and vector with bin-borders for data set 2
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   max_data_2 = max(data_2, /nan )   max_data_2 = max(data_2, /nan )
   N_bins_2 = fix((max_data_2-min_data_2)/bin_size_2)+1   N_bins_2 = fix((max_data_2-min_data_2)/bin_size_2)+1
 +  ; output of histo refers to lower border of bins => add 1/2binsize to center them in bin
   bins_2 = min_data_2 + (findgen(N_bins_2) + 0.5)*bin_size_2   bins_2 = min_data_2 + (findgen(N_bins_2) + 0.5)*bin_size_2
        
internal/administration/idl.1753169673.txt.gz · Last modified: by jan