<div dir="ltr">Hi Rashed,<div>I already added but I have sent only the main part of the script.</div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Wed, Jul 31, 2019 at 6:50 PM Rashed Mahmood <<a href="mailto:rashidcomsis@gmail.com">rashidcomsis@gmail.com</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"><div>Try adding following at the end, after overlay:</div><div><br></div><div>draw(plot)</div><div>frame(wks)<br></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Wed, Jul 31, 2019 at 7:57 AM S Br via ncl-talk <<a href="mailto:ncl-talk@ucar.edu" target="_blank">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">Hello NCL,<div>I am plotting the difference between two files as per the script written below, but I want to display (contour shade) only the value that are significance at 95% level. I am able to stripe the significance difference but can't display the difference that are significant (I want to retain the original color shade of the difference)</div><div><br></div><div>diffposglob1 = avgposglobst1-avgstctrl<br></div><div>probtposglob1 = 100.*(1. -ttest(avgposglobst1,varposglobst1,50,avgstctrl,varctrl,50,True,False)) ; all areas whose value > 95 are significant<br></div><div><br></div><div>wks = gsn_open_wks("x11","surtemp_sig_diff")  <br></div><div> res                     = True<br>  res@gsnDraw             = False            ; don't draw<br>  res@gsnFrame            = False            ; don't advance frame<br>  res@cnFillOn            = False            ; turn on color<br>  res@cnLinesOn           = True            ; turns off contour lines.<br>  res@cnLineLabelsOn      = False            ; turn off line labels<br>  res@cnFillPalette       = "temp_diff_18lev"   ; set color map<br>  res@cnInfoLabelOn       = False           ; turn off cn info label explanation<br>  res@lbLabelBarOn        = True           ; turn off individual cb's<br></div><div>  res@cnLevelSelectionMode =  "ManualLevels"</div>   res@cnMinLevelValF       = -1.5<br>   res@cnMaxLevelValF       =  1.5<br>   res@cnLevelSpacingF      =  0.3<br>   res@tmXBLabelFontHeightF = 0.030                 ; resize tick labels<br>   res@tmYLLabelFontHeightF = 0.030<br>   res@gsnStringFontHeightF = 0.030<br><div>;***********************************************************<br>  res2 = True                            ; res2 probability plots<br>  res2@gsnDraw             = False       ; Do not draw plot<br>  res2@gsnFrame            = False       ; Do not advance frome<br>  res2@cnInfoLabelOn       = False<br>  res2@cnLinesOn           = False       ; do not draw contour lines<br>  res2@cnLineLabelsOn      = False       ; do not draw contour labels<br>  res2@cnFillScaleF        = 0.3         ; add extra density<br>;  sgres@cnFillDotSizeF       = 0.003<br>  res2@cnLevelSelectionMode = "ExplicitLevels"       ; set explicit cnlev<br>  res2@cnLevels   = (/95./)              ; only have 1 contour level<br>  res2@gsnRightString            = ""                ; Turn off subtitles<br>  res2@gsnLeftString             = ""<br>  res@gsnAddCyclic                = True            ; add cyclic point<br>;***********************************************************<br>  opt = True                                         ; set up parameters for pattern fill<br>  opt@gsnShadeFillType = "pattern"                   ; specify pattern fill<br>  opt@gsnShadeHigh      = 15                        ; stipple pattern<br>;  opt@gsnShadeFillScaleF = 5<br>;  opt@gsnShadeDotSizeF = 1                           ; make dots larger<br>;***********************************************************<br></div><div>plot = gsn_csm_contour_map(wks,diffposglob1(0,:,:),res)<br>  plot2   = gsn_csm_contour(wks,probtposglob1(0,:,:),res2)<br>  plot2   = gsn_contour_shade(plot2,-999,95., opt)      ; stipple all areas >= 95  contour<br>  overlay (plot, plot2)<br></div></div>
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