It don't know if you'll like it better, but here's another way to get the
same effect using Gadfly. The `Scale.discrete_color_manual` controls the
colors used by the scale.
~~~
using Gadfly, DataFrames
# populate the data in the format from your example
x1 = [1:10]; y1=[12:21]
x2 = [1:10]; y2 = [30:-1:21]
# make a 3 column DataFrame (x,y,line); maybe not the best way to make a
DataFrame, but it works.
df = DataFrame(Dict((:x,:y,:line),([x1,x2],[y1,y2],[["Line 1" for
i=1:10],["Line 2" for i=1:10]])))
# plot the DataFrame
plot(df,x=:x,y=:y,color=:line,Scale.discrete_color_manual("red","purple"),Geom.line,Guide.colorkey("Legend
title"))
~~~
-- Leah
On Sun, Sep 28, 2014 at 4:52 PM, Tomas Lycken <[email protected]>
wrote:
> The only way I’ve figured out to have two layers with different-color
> lines and a legend is to do something like this:
>
> plot(
> layer(
> x = x1,
> y = y1,
> color = ["Line 1" for i in 1:length(x1)],
> Geom.path,
> ),
> layer(
> x = x2,
> y = y2,
> color = ["Line 2" for i in 1:length(x2)],
> Geom.path
> ),
>
> Guide.colorkey("Legend title"),
> )
>
> This works in that it gives me a legend with the text I want, but it
> doesn’t give me any way to control the color of the lines - I usually do it
> with a Theme(default_color=color("red")) or similar, but since I’ve given
> each datapoint a color value (which isn’t really a color) that doesn’t have
> any effect.
>
> Is there any way I can get a layered plot, where each layer has its own
> legend entry, and at the same time control the color of the plot elements
> in each layer?
>
> // T
>
>
