Re: [Matplotlib-users] plot color as a function of values?

[Eric F. <ef...@ha...>]

Xavier Gnata wrote:
> ax.plot(t[s>=0],s[s>=0],"g")
> ax.plot(t[s<0],s[s<0],"r")
> 

I don't think it does what you want, though, unless you are plotting 
markers, not lines.  With lines, you will have line segments 
approximately on the x-axis across the gaps.  Using masked arrays avoids 
that.  The gaps (masked segments) will not be stroked.

Eric

> 
> Whaou! That's what I call a nice pythonic syntax.
> 
> XAvier
> 
>> Maybe a little shorter is the where() keyword, and even that can be omitted:
>>
>> ax.plot(t[where(s>=0)],s[where(s>=0)],"g")
>> ax.plot(t[where(s<0)],s[where(s<0)],"r")
>>
>> or, shorter:
>>
>> ax.plot(t[s>=0],s[s>=0],"g")
>> ax.plot(t[s<0],s[s<0],"r")
>>
>> cheers
>>
>> Thomas
>>
>>
>>
>> Xavier Gnata-2 wrote:
>>   
>>> Hi,
>>>
>>> Imagine you have something like:
>>>
>>> from pylab import *
>>> t = arange(0.0, 2.0, 0.01)
>>> s = sin(2*pi*t)
>>> ax = subplot(111)
>>> ax.plot(t, s)
>>>
>>> That's fine but now I would like to plot the negative parts of the curve 
>>> in red and the positive one in green.
>>> Is there a nice pylab oriented way to do that? Some kind of "conditional 
>>> formating"?
>>>
>>> Xavier
>>>
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>>   
> 
> 
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