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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>>
>>
>>
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