boxfill missing value does not respect opacity

[doutriaux1]

import vcs
import cdms2

f=cdms2.open(vcs.sample_data+"/clt.nc")

s=f("clt")
x=vcs.init()
x.plot(s)
s2=cdms2.MV2.masked_greater(s,50.)
gm =x.createboxfill()
gm.missing=[50,50,50,50]
x.plot(s2,gm)

raw_input("press enteR")

gives:

[doutriaux1]

grey should be transparent

[durack1]

@doutriaux1 happy to test this out in my example case, so for isofill:

And for boxfill:

I'd also be curious about the isofill clipping along the Northern pole, this feature seems a weird artifact of the graphics method to me

[durack1]

@danlipsa it would be great to get your input on this, I was hoping to generate a correct figure (with the masking working correctly) by the end of this week

[sankhesh]

@doutriaux1 @durack1 Looking into this now

[durack1]

@sankhesh great, let me know when you have a branch to test..

[sankhesh]

@doutriaux1 @durack1

PR #123 fixes the issue

Here is clt with gm.missing = [50, 50, 50, 0]

and with gm.missing = [50, 50, 50, 50]

[doutriaux1]

awesome! thanks @sankhesh

[durack1]

@doutriaux1 great, once this is merged by @danlipsa will it be magically available through the nightly channel? I was hoping to get these figs done this week...

[durack1]

@danlipsa @doutriaux1 @sankhesh I'm also curious about the northern bound behaviour in the isofill example above. It seems that some boundary effect is impacting the isofill so that missing (or lower) values are found along the northern fringe, with boxfill this isn't an issue as there is no interpretation/interpolation of the data, it just plots cells as they are stored. I think the current isofill behaviour is wrong