Ben -
The problem is occurring on os-x. I am a version behind on the libraries on
this machine. With the latest libraries (installed a few days ago on debian)
this problem does not occur with the agg backend. I think it is time to sit
down and learn the library rather then hack at it. Thanks for your help.
Steve
On Jul 14, 2010, at 6:17 PM, Benjamin Root wrote:
> Steve,
>
> Which backend are you using? For TkAgg, this works:
>
> m.contourf(x, y, z, levels=levels, cmap=cmap, antialiased=False)
>
> Ben Root
>
>
>
> On Wed, Jul 14, 2010 at 8:00 PM, Steve McFarlin <st...@stevemcfarlin.com>
> wrote:
> Ben -
>
> I got ahead of myself my cropping the image. The color mapping is correct. It
> is just different then what I expected. I thought it would partition the
> height field data based on the levels array and index into the color array.
> Turning off antialiasing did not solve the 'ghost lines'. I will play around
> with some of the arguments. It looks to me as if contour is being called with
> a line width of 1 and a color of white. Setting these line width to 0 did not
> make a difference.
>
>
> Thanks,
> Steve
>
> On Jul 14, 2010, at 5:24 PM, Benjamin Root wrote:
>
>> Steve,
>>
>> The ghost lines appear to be an artifact of the anti-aliasing. In my tests,
>> setting antialiased=False eliminates those lines.
>>
>> The colormap looks fine to me. If you doubt it, try turning on the colorbar
>> to see if the values are correctly associated with the proper colors.
>>
>> Ben Root
>>
>>
>> On Wed, Jul 14, 2010 at 6:24 PM, Steve McFarlin <st...@stevemcfarlin.com>
>> wrote:
>> Ben -
>>
>> You can see the image at http://www.surfguru.com/smc/TestRender.png . With a
>> continuous level array [1 .. 18] the image looks like
>> http://www.surfguru.com/smc/TestRender2.png
>>
>>
>> Thanks,
>> Steve
>>
>> On Jul 14, 2010, at 4:12 PM, Benjamin Root wrote:
>>
>>> Steve,
>>>
>>> Could you please attach an example image of what you are seeing?
>>>
>>> Ben Root
>>>
>>> On Wed, Jul 14, 2010 at 5:52 PM, Steve McFarlin <st...@stevemcfarlin.com>
>>> wrote:
>>> Hello,
>>>
>>> I am trying to create a color map that maps 18 colors across 50 levels. As
>>> an example let say I have three colors [r,g,b] and want everything between
>>> 1 an 2 to be r, 3 through 10 to be g, and 11 through 50 to be b. From what
>>> I can tell it does not seem to be possible. Currently this is what I have,
>>> but it does not seem to work as I assumed.
>>>
>>> colorList =
>>> [[0.,0.,102./255.],[0,42./255.,217./255.],[0,110./255.,217./255.],[0,178./255.,217./255.],
>>>
>>> [0,212./255.,212./255.],[0,217./255.,166./255.],[0,217./255.,0],[149./255.,217./255.,0],
>>>
>>> [217./255.,217./255.,0],[217./255.,174./255.,0],[217./255.,131./255.,0],[217./255.,87./255.,0],
>>> [217./255.,0,0],[174./255.,0,0],[140./255.,0,0],[135./255.,0,0],
>>> [105./255.,0,0],[65./255.,0,0]]
>>>
>>> levels = [1,2,3,4,5,6,7,8,9,10,12,15,20,25,30,35,40,50]
>>> cmap = matplotlib.colors.ListedColormap(colorList, name = 'theColorMap', N
>>> = len(colorList))
>>> ...
>>> m.contourf(x,y,z,cmap=cmap, levels=levels, extend='both')
>>>
>>> If the levels array is continuous then it works as expected. With the above
>>> settings I get unexpected results, which includes 'ghost contour lines'.
>>> The data I am rendering is from a GRIB file from NOAA.
>>>
>>> Is this possible?
>>>
>>>
>>> Thanks,
>>> Steve
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