John Hunter-4 wrote:
>
> On Fri, Jun 20, 2008 at 6:14 PM, sordnay <[EMAIL PROTECTED]> wrote:
>>
>> Hi all,
>> I'm trying to plot in 2D, 3 variables from time series, instead of volume
>> I
>> want color for the third variable.
>> I have partial success with a scatter plot, but I'm unable to manage the
>> colorbar so it represents z values,
>> I needed to sort the variables and it's getting a bit ugly, so I though I
>> might be missing some other function ?
>> this is what I used:
>> pylab.figure()
>> x=self.stData.[items[0]]
>> y=self.stData.[items[1]]
>> z=self.stData.[items[2]]
>> points=zip(x,y)
>> points3=sorted(zip(z,points))
>> for i,p in enumerate(points3):
>> z[i]=p[0]
>> x[i]=p[1][0]
>> y[i]=p[1][1]
>> #colors=pylab.linspace(z.min(),z.max(),len(z)) did not work
>> colors=pylab.linspace(0,1,len(z))
>> pylab.scatter(x,y,c=colors,faceted=False)
>
> Just pass c=z to scatter if z are the values you want to colormap.
>
> JDH
>
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>
yes it was lot easier, but i had to set the vmin and vmax kwargs or it
wouldn't work:
sigbrowse=figure()
x=self.stData.Data[items[0]]
y=self.stData.Data[items[1]]
z=self.stData.Data[items[2]]
scatter(x,y,c=z,faceted=False,vmin=z.min(),vmax=z.max())
colorbar()
show()
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