I would like something like the following to work:
A=rand(1000,4)
plot(A) # this would plot 4 curves each
with 1000 data points and auto-labelled as 1:1000
plot(A,Geom.histogram) # this would plot 4 histograms with
1000 data points each
It’s also very unclear how to convert A to a DataFrame. For histogram, I would
want variants Geom.histogram(levels=[…]) and Geom.histogram(normed=true).
> On 14 Mar 2015, at 4:13 pm, Daniel Jones <[email protected]> wrote:
>
>
> I'm working on it: https://github.com/dcjones/Gadfly.jl/issues/563
> <https://github.com/dcjones/Gadfly.jl/issues/563>
>
> The desire for a separate plotting semantics is indicative of some
> shortcoming. So I hope we can resolve that, and there won't be a need to wrap
> Gadfly.
>
>
> On Friday, March 13, 2015 at 8:24:03 PM UTC-7, Sheehan Olver wrote:
>
> Hmm… that’s a little bit complicated… I wonder if there would be
> interest in a wrapper package for Gadfly that makes these things simpler?
>
>
>
>
> > On 13 Mar 2015, at 3:03 pm, Jiahao Chen <[email protected] <javascript:>>
> > wrote:
> >
> > Daniel is the authoritative source, but for such situations I use
> > layers and manual color schemes like this:
> >
> > using Color, Gadfly
> >
> > xgrid=0:10:100
> > data=rand(10,10)
> > nrows = size(data, 1)
> > cm = distinguishable_colors(nrows, lchoices=0:50) #lchoices between 50
> > and 100 are too bright for my taste for plotting lines
> > plot(
> > [layer(x=xgrid, y=data[i, :], Geom.line,
> > Theme(default_color=cm[i])) for i=1:nrows]...,
> > Guide.manual_color_key("row id", ["row $i" for i=1:nrows], cm),
> > )
> >
> > Thanks,
> >
> > Jiahao Chen
> > Staff Research Scientist
> > MIT Computer Science and Artificial Intelligence Laboratory
> >
> >
> > On Thu, Mar 12, 2015 at 11:54 PM, Sheehan Olver <[email protected]
> > <javascript:>> wrote:
> >>
> >> I have a table of numbers that I want to line plot in Gadfly: i.e., each
> >> column corresponds to values of a function. Is this possible without
> >> creating a DataFrame?
> >>
> >>
>
