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)
pylab.colorbar()
pylab.show()
but even if I could get the colorbar ticks to represent z values, in fact
this is not correct as this gives every point "one" color, and this is not
correct...
···
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Just pass c=z to scatter if z are the values you want to colormap.
JDH
···
On Fri, Jun 20, 2008 at 6:14 PM, sordnay <sordnay@...287...> 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)
John Hunter-4 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()
···
On Fri, Jun 20, 2008 at 6:14 PM, sordnay <sordnay@...287...> wrote:
--
View this message in context: http://www.nabble.com/color-xy-plot-tp18047665p18161452.html
Sent from the matplotlib - users mailing list archive at Nabble.com.
Bringing up an old thread, but just curious if this can be done with the plot
command as well, as in:
plt.plot(X,Y[1:3,:].T,c=['blue','red'])
Thanks,
john
sordnay wrote:
···
John Hunter-4 wrote:
On Fri, Jun 20, 2008 at 6:14 PM, sordnay <sordnay@...287...> 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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Sent from the matplotlib - users mailing list archive at Nabble.com.