source: lmdz_wrf/trunk/tools/documentation/plotting/2Dshad_line.html @ 1553

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Fixing issues and introducing $pyHOME
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8  <BODY>
9    <DIV CLASS="valheader">
10      2D shadow line
11    </DIV>
12    <DIV CLASS="valimg">
13      Plotting a 2D field with shading and a 1D field with a line
14      <IMG WIDTH="100%" SRC="figs/hus-hgt_vert-sec_shad-line.png"></IMG>
15    </DIV>
16    <DIV CLASS="valhelp">
17    draw_2D_shad_line(ncfile, values, varn)<BR>
18    &nbsp;&nbsp;ncfile= [ncfiles],[ncfilel] file to use for the shading and for the line<BR>
19    &nbsp;&nbsp;values= [vnamefs],[vnamefl]:[dimvals]:[dimxvn]:[dimyvn]:[dimxyfmt]:[colorbarvals]:[smin/axv]:[linevalues]:[figt]:[kindfig]:[reverse]:[mapv]:[close]<BR>
20    &nbsp;&nbsp;&nbsp;&nbsp;[vnamefs]: Name in the figure of the variable to be shaded<BR>
21    &nbsp;&nbsp;&nbsp;&nbsp;[vnamefl]: Name in the figure of the variable to be lined<BR>
22    &nbsp;&nbsp;&nbsp;&nbsp;[dimvals]: ',' list of [dimname]|[value] telling at which dimension of the <BR>
23    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;variable a given value is required (-1, all the length)<BR>
24    &nbsp;&nbsp;&nbsp;&nbsp;[dimx/yvn]: name of the variables with the values of the final dimensions (x,y)<BR>
25    &nbsp;&nbsp;&nbsp;&nbsp;[dimxyfmt]=[dxs],[dxf],[Ndx],[ordx],[dys],[dyf],[Ndy],[ordx]: format of the values at each axis (or 'auto')<BR>
26    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[dxs]: style of x-axis ('auto' for 'pretty')<BR>
27    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Nfix', values computed at even 'Ndx'<BR>
28    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Vfix', values computed at even 'Ndx' increments<BR>
29    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'pretty', values computed following aprox. 'Ndx' at 'pretty' intervals (2.,2.5,4,5,10)<BR>
30    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[dxf]: format of the labels at the x-axis ('auto' for '%5g')<BR>
31    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[Ndx]: Number of ticks at the x-axis ('auto' for 5)<BR>
32    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[ordx]: angle of orientation of ticks at the x-axis ('auto' for horizontal)<BR>
33    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[dys]: style of y-axis ('auto' for 'pretty')<BR>
34    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[dyf]: format of the labels at the y-axis ('auto' for '%5g')<BR>
35    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[Ndy]: Number of ticks at the y-axis ('auto' for 5)<BR>
36    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[ordy]: angle of orientation of ticks at the y-axis ('auto' for horizontal)<BR>
37    &nbsp;&nbsp;&nbsp;&nbsp;[colorbarvals]=[colbarn],[fmtcolorbar],[orientation]<BR>
38    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[colorbarn]: name of the color bar<BR>
39    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[fmtcolorbar]: format of the numbers in the color bar 'C'-like ('auto' for %6g)<BR>
40    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[orientation]: orientation of the colorbar ('vertical' (default, by 'auto'), 'horizontal')<BR>
41    &nbsp;&nbsp;&nbsp;&nbsp;[smin/axv]: minimum and maximum value for the shading or:<BR>
42    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Srange': for full range<BR>
43    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Saroundmean@val': for mean-xtrm,mean+xtrm where xtrm = np.min(mean-min@val,max@val-mean)<BR>
44    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Saroundminmax@val': for min*val,max*val<BR>
45    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Saroundpercentile@val': for median-xtrm,median+xtrm where xtrm = np.min(median-percentile_(val),<BR>
46    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;percentile_(100-val)-median)<BR>
47    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Smean@val': for -xtrm,xtrm where xtrm = np.min(mean-min*@val,max*@val-mean)<BR>
48    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Smedian@val': for -xtrm,xtrm where xtrm = np.min(median-min@val,max@val-median)<BR>
49    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Spercentile@val': for -xtrm,xtrm where xtrm = np.min(median-percentile_(val),<BR>
50    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;percentile_(100-val)-median)<BR>
51    &nbsp;&nbsp;&nbsp;&nbsp;[linevalues]=[colline],[sminl],[smaxl],[dls],[dlf],[Ndl],[ordl]<BR>
52    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[colline]: name of the color for the line<BR>
53    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[smin/axv]: minimum and maximum value for the line or:<BR>
54    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Srange': for full range<BR>
55    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Saroundmean@val': for mean-xtrm,mean+xtrm where xtrm = np.min(mean-min@val,max@val-mean)<BR>
56    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Saroundminmax@val': for min*val,max*val<BR>
57    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Saroundpercentile@val': for median-xtrm,median+xtrm where xtrm = np.min(median-percentile_(val),<BR>
58    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;percentile_(100-val)-median)<BR>
59    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Smean@val': for -xtrm,xtrm where xtrm = np.min(mean-min*@val,max*@val-mean)<BR>
60    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Smedian@val': for -xtrm,xtrm where xtrm = np.min(median-min@val,max@val-median)<BR>
61    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;'Spercentile@val': for -xtrm,xtrm where xtrm = np.min(median-percentile_(val),<BR>
62    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;percentile_(100-val)-median)<BR>
63    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[dls]: style of line-axis ('auto' for 'pretty')<BR>
64    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[dlf]: format of the labels at the line-axis ('auto' for '%5g')<BR>
65    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[Ndl]: Number of ticks at the line-axis ('auto' for 5)<BR>
66    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[ordl]: angle of orientation of ticks at the line-axis ('auto' for horizontal)<BR>
67    &nbsp;&nbsp;&nbsp;&nbsp;[smin/axv]: minimum and maximum value for the shading<BR>
68    &nbsp;&nbsp;&nbsp;&nbsp;[figt]: title of the figure ('|' for spaces)<BR>
69    &nbsp;&nbsp;&nbsp;&nbsp;[kindfig]: kind of figure<BR>
70    &nbsp;&nbsp;&nbsp;&nbsp;[reverse]: Transformation of the values<BR>
71    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;* 'transpose': reverse the axes (x-->y, y-->x)<BR>
72    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;* 'flip'@[x/y]: flip the axis x or y<BR>
73    &nbsp;&nbsp;&nbsp;&nbsp;[mapv]: map characteristics: [proj],[res]<BR>
74    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;see full documentation: http://matplotlib.org/basemap/<BR>
75    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[proj]: projection<BR>
76    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;* 'cyl', cilindric<BR>
77    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;* 'lcc', lamvbert conformal<BR>
78    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[res]: resolution:<BR>
79    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;* 'c', crude<BR>
80    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;* 'l', low<BR>
81    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;* 'i', intermediate<BR>
82    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;* 'h', high<BR>
83    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;* 'f', full<BR>
84    &nbsp;&nbsp;&nbsp;&nbsp;[close]: Whether figure should be finished or not<BR>
85    &nbsp;&nbsp;varn= [varsn],[varnl] name of the variable to plot with shading and with line<BR>
86    </DIV>
87    <DIV CLASS="valins">
88      $ python ${pyHOME}/drawing.py -o draw_2D_shad_line -f wrfout_d01_2001-11-11_00:00:00,wrfout_d01_2001-11-11_00:00:00 -S 'hus,hgt:west_east|-1,south_north|96,Time|2,bottom_top|-1:XLONG:ZNU:auto:rainbow,auto,horizontal:Srange,Srange:k,0.,4000.,auto,auto,auto,45.:vert.|sec.|hus|at|y=96|on|2001-11-11|02|UTC:png:flip@y:None:True' -v QVAPOR,HGT
89    </DIV>
90  </BODY>
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