Changeset 1231 in lmdz_wrf for trunk/tools/documentation
- Timestamp:
- Oct 25, 2016, 7:56:03 PM (8 years ago)
- Location:
- trunk/tools/documentation
- Files:
-
- 7 edited
Legend:
- Unmodified
- Added
- Removed
-
trunk/tools/documentation/PyNCplot.css
r1223 r1231 21 21 color:rgb(0,0,0);font-size:0.9em;} 22 22 23 div.valimg{width:40%;height: 85%;text-align:center;position:absolute;top:5%;left:0%;background-color:rgb(255,255,255);}24 div.valhelp{width:60%;height: 85%;text-align:left;position:absolute;top:5%;left:40%;background-color:rgb(240,240,240);23 div.valimg{width:40%;height:75%;text-align:center;position:absolute;top:5%;left:0%;background-color:rgb(255,255,255);} 24 div.valhelp{width:60%;height:75%;text-align:left;position:absolute;top:5%;left:40%;background-color:rgb(240,240,240); 25 25 font-size:0.9em;overflow-y:auto} 26 div.valins{width:100%;height: 10%;text-align:left;position:absolute;bottom:10%;left:0%;background-color:rgb(192,192,192);26 div.valins{width:100%;height:20%;text-align:left;position:absolute;top:80%;left:0%;background-color:rgb(192,192,192); 27 27 font-size:0.9em;font-family:"monospace";overflow-x:auto} 28 28 -
trunk/tools/documentation/intro.html
r1223 r1231 11 11 Scripts use python's <A CLASS="la" HREF="http://matplotlib.org" TARGET="_blank">matplotlib</A> and <A CLASS="la" HREF="https://pypi.python.org/pypi/netCDF4" TARGET="_blank">netCDF4</A> libraries. Additionally some functions use some specific Fortran based libraries developed on purpose for the case. <BR> 12 12 <BR> 13 It attempts to facilitate the research throughout two main goals: 13 Climate Data Operators (<A CLASS="la" HREF="https://code.zmaw.de/projects/cdo" TARGET="_blank">CDO</A>) are very powerful tools but it only properly works if files are <A CLASS="la" HREF="http://cfconventions.org" TARGET="_blank">CF-compilant</A>. netCDF Operator (<A CLASS="la" HREF="http://nco.sourceforge.net" TARGET="la">NCO</A>) are also very versatile and powerful, but they can not do everything. Thus, one faces sometimes to process netCDF files via a sort of mixing of both tools and it is almost impossible to add new capabilities to them. <A CLASS="la" HREF="http://www.ferret.noaa.gov/Ferret" TARGET="_blank">Ferret</A> is quite a useful tool, but its quick characteristics limit the output which at the same time it is in a low quality. When one is working with multiple models highly appreciates a single tool to work with their output. 14 PyNCplot attempts to facilitate the research throughout two main goals: 14 15 <OL CLASS="roman"> 15 16 <LI>Manage all day-base needs for netCDF files from an unique platform, in this case, python based</LI> … … 32 33 $ svn co http://svn.lmd.jussieu.fr/LMDZ_WRF/trunk/tools PyNCplot 33 34 </CODE></PRE> 35 There are several python tutorials, just to add more basic ones: <A CLASS="la" HREF="http://www.xn--llusfb-5va.cat/python/ShanCourse/PythonCourse.html" TARGET="_blank">Shan's python course</A>, <A CLASS="la" HREF="https://forge.ipsl.jussieu.fr/igcmg_doc/wiki/Train#BOOTCAMPIPSL" TARGET="_blank">IPSL Boot Camp</A> 36 This web page will be always `underconstuction' as far as there are still some new operations/graphics to add, or to finish to document all the existing ones 37 <P STYLE="text-align:right">Lluís, October 2016</P> 34 38 </BODY> 35 39 </HTML> -
trunk/tools/documentation/plotting/2Dshad.html
r1216 r1231 19 19 [sminv],[smaxv]:[figt]:[kindfig]:[reverse]:[mapv]:[close]<BR> 20 20 [vnamefs]: Name in the figure of the variable to be shaded<BR> 21 [dimvals]: ',' list of [dimname]|[value] telling at which dimension of the <BR> 22 variable a given value is required (-1, all the length)<BR> 23 [dimx/yvn]: name of the variables with the values of the final dimensions (x,y)<BR> 24 [dimxyfmt]=[dxs],[dxf],[Ndx],[ordx],[dys],[dyf],[Ndy],[ordx]: format of the values at each axis (or 'auto')<BR> 25 [dxs]: style of x-axis ('auto' for 'pretty')<BR> 26 'Nfix', values computed at even 'Ndx'<BR> 27 'Vfix', values computed at even 'Ndx' increments<BR> 28 'pretty', values computed following aprox. 'Ndx' at 'pretty' intervals (2.,2.5,4,5,10)<BR> 29 [dxf]: format of the labels at the x-axis ('auto' for '%5g')<BR> 30 [Ndx]: Number of ticks at the x-axis ('auto' for 5)<BR> 31 [ordx]: angle of orientation of ticks at the x-axis ('auto' for horizontal)<BR> 32 [dys]: style of y-axis ('auto' for 'pretty')<BR> 33 [dyf]: format of the labels at the y-axis ('auto' for '%5g')<BR> 34 [Ndy]: Number of ticks at the y-axis ('auto' for 5)<BR> 35 [ordy]: angle of orientation of ticks at the y-axis ('auto' for horizontal)<BR> 36 [colorbarvals]=[colbarn],[fmtcolorbar],[orientation]<BR> 37 [colorbarn]: name of the color bar<BR> 38 [fmtcolorbar]: format of the numbers in the color bar 'C'-like ('auto' for %6g)<BR> 39 [orientation]: orientation of the colorbar ('vertical' (default, by 'auto'), 'horizontal')<BR> 40 [smin/axv]: minimum and maximum value for the shading or:<BR> 41 'Srange': for full range<BR> 42 'Saroundmean@val': for mean-xtrm,mean+xtrm where xtrm = np.min(mean-min@val,max@val-mean)<BR> 43 'Saroundminmax@val': for min*val,max*val<BR> 44 'Saroundpercentile@val': for median-xtrm,median+xtrm where xtrm = np.min(median-percentile_(val),<BR> 45 percentile_(100-val)-median)<BR> 46 'Smean@val': for -xtrm,xtrm where xtrm = np.min(mean-min*@val,max*@val-mean)<BR> 47 'Smedian@val': for -xtrm,xtrm where xtrm = np.min(median-min@val,max@val-median)<BR> 48 'Spercentile@val': for -xtrm,xtrm where xtrm = np.min(median-percentile_(val),<BR> 49 percentile_(100-val)-median)<BR> 50 [figt]: title of the figure ('|' for spaces)<BR> 51 [kindfig]: kind of figure<BR> 52 [reverse]: Transformation of the values<BR> 53 * 'transpose': reverse the axes (x-->y, y-->x)<BR> 54 * 'flip'@[x/y]: flip the axis x or y<BR> 55 [mapv]: map characteristics: [proj],[res]<BR> 56 see full documentation: <HREF CLASS="lc" HREF="http://matplotlib.org/basemap" TARGET="_blank">http://matplotlib.org/basemap</A><BR> 57 [proj]: projection<BR> 58 * 'cyl', cilindric<BR> 59 * 'lcc', lambert conformal<BR> 60 [res]: resolution:<BR> 61 * 'c', crude<BR> 62 * 'l', low<BR> 63 * 'i', intermediate<BR> 64 * 'h', high<BR> 65 * 'f', full<BR> 66 [close]: Whether figure should be finished or not<BR> 67 valules= 'rh:z|-1,x|-1:z|-1,x|-1:lat:pressure:BuPu:0.,100.:rh:pdf:flip@y:None'<BR> 21 [dimvals]: ',' list of [dimname]|[value] telling at which dimension of the <BR> 22 variable a given value is required (-1, all the length)<BR> 23 [dimx/yvn]: name of the variables with the values of the final dimensions (x,y)<BR> 24 [dimxyfmt]=[dxs],[dxf],[Ndx],[ordx],[dys],[dyf],[Ndy],[ordx]: format of the values at each axis (or 'auto')<BR> 25 [dxs]: style of x-axis ('auto' for 'pretty')<BR> 26 'Nfix', values computed at even 'Ndx'<BR> 27 'Vfix', values computed at even 'Ndx' increments<BR> 28 'pretty', values computed following aprox. 'Ndx' at 'pretty' intervals (2.,2.5,4,5,10)<BR> 29 [dxf]: format of the labels at the x-axis ('auto' for '%5g')<BR> 30 [Ndx]: Number of ticks at the x-axis ('auto' for 5)<BR> 31 [ordx]: angle of orientation of ticks at the x-axis ('auto' for horizontal)<BR> 32 [dys]: style of y-axis ('auto' for 'pretty')<BR> 33 [dyf]: format of the labels at the y-axis ('auto' for '%5g')<BR> 34 [Ndy]: Number of ticks at the y-axis ('auto' for 5)<BR> 35 [ordy]: angle of orientation of ticks at the y-axis ('auto' for horizontal)<BR> 36 [colorbarvals]=[colbarn],[fmtcolorbar],[orientation]<BR> 37 [colorbarn]: name of the color bar<BR> 38 [fmtcolorbar]: format of the numbers in the color bar 'C'-like ('auto' for %6g)<BR> 39 [orientation]: orientation of the colorbar ('vertical' (default, by 'auto'), 'horizontal')<BR> 40 [smin/axv]: minimum and maximum value for the shading or:<BR> 41 'Srange': for full range<BR> 42 'Saroundmean@val': for mean-xtrm,mean+xtrm where xtrm = np.min(mean-min@val,max@val-mean)<BR> 43 'Saroundminmax@val': for min*val,max*val<BR> 44 'Saroundpercentile@val': for median-xtrm,median+xtrm where xtrm = np.min(median-percentile_(val),<BR> 45 percentile_(100-val)-median)<BR> 46 'Smean@val': for -xtrm,xtrm where xtrm = np.min(mean-min*@val,max*@val-mean)<BR> 47 'Smedian@val': for -xtrm,xtrm where xtrm = np.min(median-min@val,max@val-median)<BR> 48 'Spercentile@val': for -xtrm,xtrm where xtrm = np.min(median-percentile_(val),<BR> 49 percentile_(100-val)-median)<BR> 50 [figt]: title of the figure ('|' for spaces)<BR> 51 [kindfig]: kind of figure<BR> 52 [reverse]: Transformation of the values<BR> 53 * 'transpose': reverse the axes (x-->y, y-->x)<BR> 54 * 'flip'@[x/y]: flip the axis x or y<BR> 55 [mapv]: map characteristics: [proj],[res]<BR> 56 see full documentation: <HREF CLASS="lc" HREF="http://matplotlib.org/basemap" TARGET="_blank">http://matplotlib.org/basemap</A><BR> 57 [proj]: projection<BR> 58 * 'cyl', cilindric<BR> 59 * 'lcc', lambert conformal<BR> 60 [res]: resolution:<BR> 61 * 'c', crude<BR> 62 * 'l', low<BR> 63 * 'i', intermediate<BR> 64 * 'h', high<BR> 65 * 'f', full<BR> 66 [close]: Whether figure should be finished or not<BR> 68 67 varn= [varsn] name of the variable to plot with shading<BR> 69 68 </DIV> -
trunk/tools/documentation/plotting/2Dshad_cont.html
r1216 r1231 14 14 </DIV> 15 15 <DIV CLASS="valhelp"> 16 16 draw_2D_shad_cont(ncfile, values, varn)<BR> 17 ncfile= [ncfilevars],[ncfilevarc] files to use (one value, same file)<BR> 18 values=[vnamefs]:[dimvals]:[dimvalc]:[dimxvn]:[dimyvn]:[dimxyfmt]:[colorbarvals]:[ckind]:[clabfmt]:[sminv],[smaxv]:[sminc],[smaxv],[Nlev]:[figt]:[kindfig]:[reverse]:[mapv]:[close]<BR> 19 [vnamefs],[vnamefc]: Name in the figure of the shaded and the contour variables<BR> 20 [dimvals/c]: list of [dimname]|[value] telling at which dimension of the <BR> 21 variable a given value is required (no dimension name, all the length)<BR> 22 [dimx/yvn]: names of the variables with the values of the dimensions for the plot<BR> 23 [dimxyfmt]=[dxf],[Ndx],[dyf],[Ndy]: format of the values at each axis<BR> 24 [dxs]: style of x-axis ('auto' for 'pretty')<BR> 25 'Nfix', values computed at even 'Ndx'<BR> 26 'Vfix', values computed at even 'Ndx' increments<BR> 27 'pretty', values computed following aprox. 'Ndx' at 'pretty' intervals (2.,2.5,4,5,10)<BR> 28 [dxf]: format of the labels at the x-axis<BR> 29 [Ndx]: Number of ticks at the x-axis<BR> 30 [ordx]: angle of orientation of ticks at the x-axis ('auto' for horizontal)<BR> 31 [dys]: style of y-axis ('auto' for 'pretty')<BR> 32 [dyf]: format of the labels at the y-axis<BR> 33 [Ndy]: Number of ticks at the y-axis<BR> 34 [ordy]: angle of orientation of ticks at the y-axis ('auto' for horizontal)<BR> 35 [colorbarvals]=[colbarn],[fmtcolorbar],[orientation]<BR> 36 [colorbarn]: name of the color bar<BR> 37 [fmtcolorbar]: format of the numbers in the color bar 'C'-like ('auto' for %6g)<BR> 38 [orientation]: orientation of the colorbar ('vertical' (default, by 'auto'), 'horizontal')<BR> 39 [ckind]: kind of contours <BR> 40 'cmap': as it gets from colorbar<BR> 41 'fixc,[colname]': fixed color [colname], all stright lines<BR> 42 'fixsigc,[colname]': fixed color [colname], >0 stright, <0 dashed line<BR> 43 [clabfmt]: format of the labels in the contour (None, also possible)<BR> 44 [smin/axv]: minimum and maximum value for the shading or<BR> 45 'Srange': for full range<BR> 46 'Saroundmean@val': for mean-xtrm,mean+xtrm where xtrm = np.min(mean-min@val,max@val-mean)<BR> 47 'Saroundminmax@val': for min*val,max*val<BR> 48 'Saroundpercentile@val': for median-xtrm,median+xtrm where xtrm = np.min(median-percentile_(val),<BR> 49 percentile_(100-val)-median)<BR> 50 'Smean@val': for -xtrm,xtrm where xtrm = np.min(mean-min*@val,max*@val-mean)<BR> 51 'Smedian@val': for -xtrm,xtrm where xtrm = np.min(median-min@val,max@val-median)<BR> 52 'Spercentile@val': for -xtrm,xtrm where xtrm = np.min(median-percentile_(val),<BR> 53 percentile_(100-val)-median)<BR> 54 [sminc]:[smaxv]:[Nlev]: minimum, maximum and number of values for the contour<BR> 55 [figt]: title of the figure ('|' for spaces)<BR> 56 [kindfig]: kind of figure<BR> 57 [reverse]: does the values be transposed? 'True/False', <BR> 58 [mapv]: map characteristics: [proj],[res]<BR> 59 see full documentation: http://matplotlib.org/basemap/<BR> 60 [proj]: projection<BR> 61 * 'cyl', cilindric<BR> 62 * 'lcc', lamvbert conformal<BR> 63 [res]: resolution:<BR> 64 * 'c', crude<BR> 65 * 'l', low<BR> 66 * 'i', intermediate<BR> 67 * 'h', high<BR> 68 * 'f', full<BR> 69 [close]: Whether figure should be finished or not<BR> 70 varn= [varsn],[varcn] name of the variable to plot with shading variable with contour<BR> 17 71 </DIV> 18 72 <DIV CLASS="valins"> -
trunk/tools/documentation/plotting/2Dshad_cont_time.html
r1216 r1231 14 14 </DIV> 15 15 <DIV CLASS="valhelp"> 16 16 draw_2D_shad_cont_time(ncfile, values, varn)<BR> 17 ncfile= [ncfilevars],[ncfilevarc] files to use (one value, same file)<BR> 18 values=[vnamefs];[dimvals];[dimvalc];[dimxvn];[dimyvn];[dimxyf];[colorbarvals];[ckind];[clabfmt];[sminv],[smaxv];[sminc],[smaxv],[Nlev];[figt];[kindfig];[reverse];[timevals];[close]<BR> 19 [vnamefs],[vnamefc]: Name in the figure of the shaded and the contour variables<BR> 20 [dimvals/c]: list of [dimname]|[value] telling at which dimension of the <BR> 21 variable a given value is required (no dimension name, all the length)<BR> 22 [dimxvn]: name of the variables with the values of the dimension of the x-axis ('WRFtime' for WRF times)<BR> 23 [dimyvn]: name of the variables with the values of the dimension of the y-axis ('WRFtime' for WRF times)<BR> 24 [dimxyf]=[dxf],[Ndx],[dyf],[Ndy]: format of the values at each axis<BR> 25 [dxs]: style of x-axis ('auto' for 'pretty')<BR> 26 'Nfix', values computed at even 'Ndx' (unique map plotted with constant pixel size)<BR> 27 'Vfix', values computed at even 'Ndx' increments<BR> 28 'pretty', values computed following aprox. 'Ndx' at 'pretty' intervals (2.,2.5,4,5,10)<BR> 29 [dxf]: format of the labels at the x-axis<BR> 30 [Ndx]: Number of ticks at the x-axis<BR> 31 [ordx]: angle of orientation of ticks at the x-axis ('auto' for horizontal)<BR> 32 [dys]: style of y-axis ('auto' for 'pretty')<BR> 33 [dyf]: format of the labels at the y-axis<BR> 34 [Ndy]: Number of ticks at the y-axis<BR> 35 [ordy]: angle of orientation of ticks at the y-axis ('auto' for horizontal)<BR> 36 [colorbarvals]=[colbarn],[fmtcolorbar],[orientation]<BR> 37 [colorbarn]: name of the color bar<BR> 38 [fmtcolorbar]: format of the numbers in the color bar 'C'-like ('auto' for %6g)<BR> 39 [orientation]: orientation of the colorbar ('vertical' (default, by 'auto'), 'horizontal')<BR> 40 [ckind]: kind of contours <BR> 41 'cmap': as it gets from colorbar<BR> 42 'fixc,[colname]': fixed color [colname], all stright lines<BR> 43 'fixsigc,[colname]': fixed color [colname], >0 stright, <0 dashed line<BR> 44 [clabfmt]: format of the labels in the contour (None, also possible)<BR> 45 [smin/axv]: minimum and maximum value for the shading or:<BR> 46 'Srange': for full range<BR> 47 'Saroundmean@val': for mean-xtrm,mean+xtrm where xtrm = np.min(mean-min@val,max@val-mean)<BR> 48 'Saroundminmax@val': for min*val,max*val<BR> 49 'Saroundpercentile@val': for median-xtrm,median+xtrm where xtrm = np.min(median-percentile_(val),<BR> 50 percentile_(100-val)-median)<BR> 51 'Smean@val': for -xtrm,xtrm where xtrm = np.min(mean-min*@val,max*@val-mean)<BR> 52 'Smedian@val': for -xtrm,xtrm where xtrm = np.min(median-min@val,max@val-median)<BR> 53 'Spercentile@val': for -xtrm,xtrm where xtrm = np.min(median-percentile_(val),<BR> 54 percentile_(100-val)-median)<BR> 55 [sminc]:[smaxv]:[Nlev]: minimum, maximum and number of values for the contour<BR> 56 [figt]: title of the figure ('|' for spaces)<BR> 57 [kindfig]: kind of figure<BR> 58 [reverse]: modification to the dimensions:<BR> 59 'transposed': transpose matrices<BR> 60 'flip',[x/y]: flip only the dimension [x] or [y]<BR> 61 [timevals]: [timen]|[units]|[kind]|[tfmt]|[label] time labels characteristics<BR> 62 [timen]; name of the time variable ('WRFtime' for WRF times)<BR> 63 [units]; units string according to CF conventions ([tunits] since <BR> 64 [YYYY]-[MM]-[DD] [[HH]:[MI]:[SS]], '!' for spaces)<BR> 65 [kind]; kind of output<BR> 66 'Nval': according to a given number of values as 'Nval',[Nval]<BR> 67 'exct': according to an exact time unit as 'exct',[tunit]; <BR> 68 tunit= [Nunits],[tu]; [tu]= 'c': centuries, 'y': year, 'm': month,<BR> 69 'w': week, 'd': day, 'h': hour, 'i': minute, 's': second, <BR> 70 'l': milisecond<BR> 71 [tfmt]; desired format<BR> 72 [label]; label at the graph ('!' for spaces)<BR> 73 [close]: Whether figure should be finished or not<BR> 74 varn= [varsn],[varcn] name of the variable to plot with shading variable with contour<BR> 17 75 </DIV> 18 76 <DIV CLASS="valins"> -
trunk/tools/documentation/plotting/2Dshad_time.html
r1211 r1231 15 15 </DIV> 16 16 <DIV CLASS="valhelp"> 17 17 draw_2D_shad_time(ncfile, values, varn)<BR> 18 ncfile= file to use<BR> 19 values=[vnamefs]~[dimvals]~[dimxvn]~[dimyvn]~[dimvfmt]~[colorbarvals]~[sminv],[smaxv]~[figt]~<BR> 20 [kindfig]~[reverse]~[timevals]~[close]<BR> 21 [vnamefs]: Name in the figure of the variable to be shaded<BR> 22 [dimvals]: ',' list of [dimname]|[value] telling at which dimension of the <BR> 23 variable a given value is required (-1, all the length, [beg]@[end] for an interval)<BR> 24 [dimx/yvn]: name of the variables with the values of the final dimensions (x,y) ('WRFtime' for WRF times)<BR> 25 [dimvfmt]=[dvs],[dvf],[Ndv],[ordv]: format of the values for the non-temporal axis (or 'auto')<BR> 26 [dvs]: style of non-temporal axis ('auto' for 'pretty')<BR> 27 'Nfix', values computed at even 'Ndx'<BR> 28 'Vfix', values computed at even 'Ndx' increments<BR> 29 'pretty', values computed following aprox. 'Ndx' at 'pretty' intervals (2.,2.5,4,5,10)<BR> 30 [dvf]: format of the labels at the x-axis ('auto' for '%5g')<BR> 31 [Ndv]: Number of ticks at the x-axis ('auto' for 5)<BR> 32 [ordv]: angle of orientation of ticks at the x-axis ('auto' for horizontal)<BR> 33 [colorbarvals]=[colbarn],[fmtcolorbar],[orientation]<BR> 34 [colorbarn]: name of the color bar<BR> 35 [fmtcolorbar]: format of the numbers in the color bar 'C'-like ('auto' for %6g)<BR> 36 [orientation]: orientation of the colorbar ('vertical' (default, by 'auto'), 'horizontal')<BR> 37 [smin/axv]: minimum and maximum value for the shading or:<BR> 38 'Srange': for full range<BR> 39 'Saroundmean@val': for mean-xtrm,mean+xtrm where xtrm = np.min(mean-min@val,max@val-mean)<BR> 40 'Saroundminmax@val': for min*val,max*val<BR> 41 'Saroundpercentile@val': for median-xtrm,median+xtrm where xtrm = np.min(median-percentile_(val),<BR> 42 percentile_(100-val)-median)<BR> 43 'Smean@val': for -xtrm,xtrm where xtrm = np.min(mean-min*@val,max*@val-mean)<BR> 44 'Smedian@val': for -xtrm,xtrm where xtrm = np.min(median-min@val,max@val-median)<BR> 45 'Spercentile@val': for -xtrm,xtrm where xtrm = np.min(median-percentile_(val),<BR> 46 percentile_(100-val)-median)<BR> 47 [figt]: title of the figure ('|' for spaces)<BR> 48 [kindfig]: kind of figure<BR> 49 [reverse]: Transformation of the values<BR> 50 * 'transpose': reverse the axes (x-->y, y-->x)<BR> 51 * 'flip'@[x/y]: flip the axis x or y<BR> 52 [timevals]: [timen]|[units]|[kind]|[tfmt]|[label]|[timeaxis] time labels characteristics<BR> 53 [timen]; name of the time variable ('WRFtime' for WRF times)<BR> 54 [units]; units string according to CF conventions ([tunits] since <BR> 55 [YYYY]-[MM]-[DD] [[HH]:[MI]:[SS]], '!' for spaces)<BR> 56 [kind]; kind of output<BR> 57 'Nval': according to a given number of values as 'Nval',[Nval]<BR> 58 'exct': according to an exact time unit as 'exct',[tunit]; <BR> 59 tunit= [Nunits],[tu]; [tu]= 'c': centuries, 'y': year, 'm': month,<BR> 60 'w': week, 'd': day, 'h': hour, 'i': minute, 's': second, <BR> 61 'l': milisecond<BR> 62 [tfmt]; desired format<BR> 63 [label]; label at the graph ('!' for spaces)<BR> 64 [close]: should figure be closed (finished)<BR> 65 varn= [varsn] name of the variable to plot with shading<BR> 18 66 </DIV> 19 67 <DIV CLASS="valins"> -
trunk/tools/documentation/plotting/plotting.html
r1211 r1231 11 11 <A CLASS="lc" HREF="2Dshad_cont.html" TARGET="value">2D shadow contour</A><BR> 12 12 <A CLASS="lc" HREF="2Dshad_cont_time.html" TARGET="value">2D shadow contour time</A><BR> 13 <A CLASS="lc" HREF="2Dshad_line.html" TARGET="value">2D shadow line</A><BR> 13 14 </DIV> 14 15 <DIV CLASS="valmenu">
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