[ncl-talk] Color filled contour disappears with contour_shade pattern
Rick Brownrigg
brownrig at ucar.edu
Thu May 2 11:03:23 MDT 2019
So my (very limited) understanding from the code you sent, you drew a
color-filled contour plot of the variable "rain", which was a time slice of
the variable precip from the file. Then you intended to use gsn_csm_shade
to hachure regions where rain was gt/lt .39/-.39 ?
This is speculation:
i) draw your color-filled plot as before
ii) mask out the rain variable for only the values you want:
rain = where(rain.lt. .39 .and. rain.gt. -.39, rain at _FillValue, rain)
iii) redraw the rain variable with gsn_csm_contour_map as before, but using
cnFillPatterns instead of color
iv) overlay the two plots as in the coneff_14 example (this requires you
set res at gsnFrame = False and res at gsnDraw = False)
HTH...
Rick
On Thu, May 2, 2019 at 10:30 AM S Br <sbr.climate at gmail.com> wrote:
> Hi Rick,
> Thanks for your reply but my region of interest cover a regional lat/lon
> domain, so I can't use gsn_csm_contour(). Instead, I am using
> gsn_csm_contour_map().
> Actually, my main objective is to draw a correlation plot with contour
> filled with color and then mark pattern to the region having significant
> correlation value (see the map attached).
> For example, I have calculated the threshold value of correlation to be
> significant is 0.39. So, I want to draw patterns over the filled contour
> for the region having the correlation value below -0.39 and above 0.39.
> 'gsn_contour_shade' is working fine for this but unfortunately, I can't
> use this with gsn_csm_contour_map()
>
> Is there any otherway to achieve this?
>
> Thanks.
> SB
>
>
>
>
>
> On Thu, May 2, 2019 at 4:45 PM Rick Brownrigg <brownrig at ucar.edu> wrote:
>
>> The docs for gsn_contour_shade() state:
>>
>> You cannot mix and match color and shading with this routine. For an
>> example of drawing shaded and filled contours, see example coneff_14.ncl
>> <http://ncl.ucar.edu/Applications/coneff.shtml#ex14>.
>>
>> However, that example coneff_14 shows how to achieve the result via two
>> calls to gsn_csm_contour():
>>
>> http://ncl.ucar.edu/Applications/coneff.shtml#ex14
>>
>> Hope that helps...
>> Rick
>>
>> On Thu, May 2, 2019 at 5:39 AM S Br <sbr.climate at gmail.com> wrote:
>>
>>> Hi Users,
>>> I am trying to plot a contour map filled with color and then apply
>>> patterns to the values greater and smaller than the specified values using
>>> the function gsn_contour_shade(plot,0.5,3.0,opt)
>>>
>>> However, when I use the gsn_contour_shade and overlay, the contour
>>> filled with color disappears. I can only see the patterns without the
>>> filled contour. Please have a look at the attached image.
>>> I am using NCL6.4.0 and my script is given below.
>>>
>>> Thank you, SB
>>>
>>> begin
>>>
>>> in1 = addfile("precip.gpcp.mon.mean.nc","r")
>>> rain=in1->precip(0,:,:)
>>> printVarSummary(rain)
>>> ;************************************
>>> ;create plot
>>> ;************************************
>>> wks = gsn_open_wks("pdf","overlay") ; send graphics to PNG
>>> file
>>> res = True
>>> res at gsnDraw = False ; Don't draw plots
>>> res at gsnFrame = False ; Don't advance frame
>>> res at cnFillOn = True ; Turn on contour fill
>>> res at cnLinesOn = False ; Turn off contour lines
>>> res at cnFillPalette = "MPL_YlOrRd" ; set color map
>>> res at tiMainString = "Overlaying shaded contours on filled
>>> contours"
>>> ; res at cnFillMode = "RasterFill"
>>> res at cnLevelSelectionMode = "ManualLevels"
>>> res at cnMinLevelValF = 0.0
>>> res at cnMaxLevelValF = 5.0
>>> res at cnLevelSpacingF = 0.5
>>>
>>> ; res at gsnAddCyclic = False
>>> res at mpMinLatF = -10.0 ; only plot 30S to 30N
>>> res at mpMaxLatF = 54.0
>>> res at mpMinLonF = 30.0 ; only plot 30S to 30N
>>> res at mpMaxLonF = 100.0
>>>
>>> plot = gsn_csm_contour_map(wks,rain,res)
>>>
>>> opt = True
>>> opt at gsnShadeFillType = "pattern" ; pattern fill
>>> opt at gsnShadeHigh = 2 ; use pattern #2
>>> opt at gsnShadeLow = 17 ; use pattern #17
>>> plot2 = gsn_contour_shade(plot,0.5,3.0,opt)
>>> overlay(plot,plot2)
>>>
>>> draw(plot)
>>> frame(wks)
>>> end
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