Hi there,
I've got 4 time series that live in a 2-d space (imagine points at
(1,1), (1,2),(2,1), and (2,2) that drift a little over time), and I'm
using scatter() to show them. How can I plot so that each of the
groups of points has the same colour?
I've checked the docs and examples and can't seem to find quite what
I'm looking for. A sample script or indication of where to look in the
docs would be appreciated.
Many thanks!
Fred.
···
--
Research is what I'm doing when I don't know what I'm doing.
-- Wernher von Braun
Fred Mailhot wrote:
Hi there,
I've got 4 time series that live in a 2-d space (imagine points at
(1,1), (1,2),(2,1), and (2,2) that drift a little over time), and I'm
using scatter() to show them. How can I plot so that each of the
groups of points has the same colour?
I've checked the docs and examples and can't seem to find quite what
I'm looking for. A sample script or indication of where to look in the
docs would be appreciated.
Many thanks!
Fred.
What you can do is something like this:
x = arange(4) # just some test-data
y = x**2
c = ['#ff0000', '#cc3300', '#996600', '#66cc00'] # the color sequence
pylab.scatter(x,y, color=c)
I think you get what you are looking for if you do this for each group separately.
Manuel