<div dir="ltr"><div>I don't know offhand, but I would point out that gsnShadeDotSizeF uses "NDC" units (normalized device coordinates), in which the values range from 0. to 1., with one being the full extent of the plot.  A value of 3 would be nonsensical, so perhaps its getting reset to the default of 0.0 (which contrary to what one might assume, is defined to mean the "smallest possible" dot size).  Maybe try 0.05, and if that doesn't do it, you might add some print statements to make sure data is what you think it is.<br></div><div><br></div><div>    <a href="http://ncl.ucar.edu/Document/Graphics/Resources/gsn.shtml">http://ncl.ucar.edu/Document/Graphics/Resources/gsn.shtml</a></div><div><br></div><div>Hope that helps...</div><div>Rick</div><div><br></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Tue, Oct 1, 2019 at 4:28 PM dale zuri via ncl-talk <<a href="mailto:ncl-talk@ucar.edu">ncl-talk@ucar.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr">Dear NCL user,<div><br></div><div><span style="background-color:rgb(255,255,255)">I don't see any error messages, but there are no stipples on the map. Could someone help correct the logic? </span></div><div><br></div><div> <u>plot2   = gsn_contour_shade(plot2,0.05,30, opt) </u></div><div><u><br></u></div><div>I would appreciate any help and suggestion. Printed below the part of the ncl code. <span id="gmail-m_-8558919597333369581selectionBoundary_1569967992560_3812842449126652" style="line-height:0;display:none"></span></div><div><br></div><div>Thank you</div><div>Dale</div><div><br></div><div><br></div><div><u>NCL program: </u></div><div>;;;;corr;;;<br>dfcor=escorc_n(zAvg,zAvgTime1,(/0/),(/0/)) <br>printVarSummary(dfcor)<br>printMinMax(dfcor,0)<br>dfcor!0 = "lat_0"<br>dfcor!1 = "lon_0"<br>dfcor&lat_0= zAvg&lat_0<br>dfcor&lon_0= zAvg&lon_0<br>x1d=ndtooned(diffAvg)<br>;x1d=ndtooned(dfcor)<br>n    = dimsizes(x1d)                ; n=11<br>df   = n-2<br>siglvl=0.05<br> pr     = rtest(x1d, n, 0)<br>printVarSummary(pr)<br> x4d     = onedtond(pr,(/26,76/))<br>printVarSummary(x4d)<br>;x4d = where(x4d.lt.siglvl, 1, x4d)<br>;printMinMax(x4d,0)<br>;print(x4d)<br>; if (pr.lt.siglvl) then<br>;      print("significant at the "+siglvl+" significance level")<br>; else<br>;      print("NOT significant at the "+siglvl+" significance level")<br>; end if<br>;dfcorr!0 = "lat_0"<br>;dfcorr!1 = "lon_0"<br>;dfcorr&lat_0= g&lat_0<br>;dfcorr&lon_0= g&lon_0<br>x4d!0 = "lat_0"<br>x4d!1 = "lon_0"<br>x4d&lat_0= zAvg&lat_0<br>x4d&lon_0= zAvg&lon_0<br>;printVarSummary(x4d)<br>;printVarSummary(dfcorr)<span id="gmail-m_-8558919597333369581selectionBoundary_1569967909449_7155083107094198" style="line-height:0;display:none"></span><br></div><div><br></div><div><br></div><div>;=====================================================================<br>;Second plot resources and overlay onto first<br>;=====================================================================<br>  res2 = True                            ; res2 probability plots<br>  res2@gsnDraw             = False       ; Do not draw plot<br>  res2@gsnFrame            = False       ; Do not advance frome<br><br>;  res2@cnLevelSelectionMode = "ExplicitLevels"       ; set explicit cnlev<br>;  res2@cnLevels   = (/99./)              ; only have 1 contour level<br>  res2@cnInfoLabelOn       = False<br>  res2@cnLinesOn           = False       ; do not draw contour lines<br>  res2@cnLineLabelsOn      = False       ; do not draw contour labels<br>  res2@cnConstFEnableFill =True<br>res2@cnConstFLabelOn  = False  <br>  res2@cnFillScaleF        = 0.6         ; add extra density<br><br>  res2@gsnRightString      = ""          ; Turn off subtitles<br>  res2@gsnLeftString       = ""<br><br>;========================================================================<br>opt = True                                         ; set up parameters for pattern fill<br>  opt@gsnShadeFillType = "pattern"                   ; specify pattern fill<br>  opt@gsnShadeLow      = 17                         ; stipple pattern<br>  opt@gsnShadeDotSizeF = 3                           ; make dots larger<br> plot2  = gsn_csm_contour(wks,x4d,res2)<br><br>  plot2   = gsn_contour_shade(plot2,0.05,30, opt)        ; stipple all areas >= 95%  contour    <br><br>  overlay (plot, plot2)<span id="gmail-m_-8558919597333369581selectionBoundary_1569967925609_20274224439535837" style="line-height:0;display:none"></span><span id="gmail-m_-8558919597333369581selectionBoundary_1569967926840_9722096067095589" style="line-height:0;display:none"></span><br></div></div>
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