It's not clear to me from your post what you are trying to do - do you want
to plot each of the 10 rows of vec as a line with a different color?
You might want to read this discussion
<https://github.com/dcjones/Gadfly.jl/issues/526> suggesting that it is
much easier to to the kind of plot you (potentially) want to do with a
DataFrame than with an Array.
If you want to stick to the Array, use layers as described in the linked
issue; adapted to your example you'd do:
plot(layer( x=[1:size(vec,2)], y=vec[1,:]+2, Geom.line,
Theme(default_color=color("orange")) ),
layer( x=[1:size(vec,2)], y=vec[2,:],Geom.line,
Theme(default_color=color("purple"))) )
(note that I've shifted the first row up by 2 to make it easier to
distinguish the lines); obviously you'd need 10 layers to plot your 10
rows, or maybe write a macro if you want to plot a lot of rows.
The "Gadfly way" (Disclaimer: I plot almost exclusively using PyPlot, so
take this with a grain of salt) would be to convert the Array into a
stacked DataFrame as follows (partly lifted from this discussion
<https://github.com/dcjones/Gadfly.jl/issues/529>):
df=DataFrame(y=vec[:], x=repeat([1:1000], outer=[10]),
row=repeat(["vec"*string(i) for i = 1:10], inner=[1000]))
plot(df, color="row", x="x", y="y", Geom.line)
