Re: [Matplotlib-users] color xy plot

[sordnay <so...@gm...>]

John Hunter-4 wrote:
> 
> On Fri, Jun 20, 2008 at 6:14 PM, sordnay <so...@gm...> 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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