Is there a way to have the second dataset plot on a separate axis, overlaid on the first plot?
using Plots; gadfly(size=(800,400))
plot(Vector[randn(100)], line = ([:green], :step))
plot!(Vector[randn(100)], line = ([:red], :step))
It is now done by adding a twinx() argument:
plot(rand(10))
plot!(twinx(),100rand(10))
There is, however, some unintentional axis and label behavior:
Labels are plotted on top of each other by default
xticks are plotted on top of the already existing plot
Default colors are not correlated to the total number of series in the subplot
Therefore, I suggest adding some additional arguments:
plot(rand(10),label="left",legend=:topleft)
plot!(twinx(),100rand(10),color=:red,xticks=:none,label="right")
There still seems to be an issue correlating all series associated with the subplot at the moment.
It's easy, but doesn't work with Gadfly. It should work fine with PyPlot and GR. Here's an example:
I can confirm (for GR) using Plots; gr()
Related
I am trying to plot individual data points on a line plot I already made as follows:
p=plot('3.29*exp(-17.4*(x^2))-0.908',xrange=[0.,1.],yrange=[-1.,1.5])
I first tried overplotting a point like this but nothing appears on the graph
estimate1=plot([0.549],[0.755],overplot=1)
When I give the plot function two points to overplot by adding another set of x and y values in input vectors, it connects them.
estimate=plot([0.349,0.9595],[0.555,0.9995],overplot=1)
How can I (over)plot the points without them being connected?
You should be able to set linestyle = 6 which will plot without the line.
I found a way around the problem I was having. After choosing a symbol for the points I wanted to show, I simply set the transparency of the line connecting them to 100 and the symbol transparency to 0.
estimate1.symbol='diamond'
estimate1.transparency=100
estimate1.sym_transparency=0
The work around is not elegant, but it works.
I have the following plot where part of the data is being obscured by the legend:
using Plots; gr()
using StatPlots
groupedbar(rand(1:100,(10,10)),bar_position=:stack, label="item".*map(string,collect(1:10)))
I can see that using the "legend" attribute, the legend can be moved to various locations within the plotting area, for example:
groupedbar(rand(1:100,(10,10)),bar_position=:stack, label="item".*map(string,collect(1:10)),legend=:bottomright)
Is there any way of moving the plot legend completely outside the plotting area, for example to the right of the plot or below it? For these kinds of stacked bar plots there's really no good place for the legend inside the plot area. The only solution I've been able to come up with so far is to make some "fake" empty rows in the input data matrix to make space with some zeros, but that seems kind of hacky and will require some fiddling to get the right number of extra rows each time the plot is made:
groupedbar(vcat(rand(1:100,(10,10)),zeros(3,10)),bar_position=:stack, label="item".*map(string,collect(1:10)),legend=:bottomright)
I can see that at there was some kind of a solution proposed for pyplot, does anyone know of a similar solution for the GR backend? Another solution I could imagine - is there a way to save the legend itself to a different file so I can then put them back together in Inkscape?
This is now easily enabled with Plots.jl:
Example:
plot(rand(10), legend = :outertopleft)
Using layouts I can create a workaround making a fake plot with legend only.
using Plots
gr()
l = #layout [a{0.001h}; b c{0.13w}]
values = rand(1:100,(10,10))
p1 = groupedbar(values,bar_position=:stack, legend=:none)
p2 = groupedbar(values,bar_position=:stack, label="item".*map(string,collect(1:10)), grid=false, xlims=(20,3), showaxis=false)
p0=plot(title="Title",grid=false, showaxis=false)
plot(p0,p1,p2,layout=l)
I am attempting to plot lots of graphs on the fly and I chanced upon the facet_wrap functionality. It produced the desired results until I realised that it was not assigning individual axes headings. There was just a single X and Y axis heading for a whole set of graphs. What I'm looking for is a way to assign individual axes headings for each graph.
Is this possible using the facet_wrap functionality at all?
Looking forward to any suggestions and advice.
EDIT:
(removed previous, incorrect, answer)
It is my understanding that if the axes of your plots are not the same (i.e. require different labels), the way to go would be with multiple separate plots (on the same page), and not with facet_wrap.
I have the following data:
x=c(2.880262,3.405859,3.613575,3.744480,3.682059,3.694075,3.758320,4.034290,4.202741,4.309383,4.996279,5.981309,5.103148,4.926363,4.696024,5.522913,5.330382,4.434304,5.154567,6.247156,8.612752,9.996526,9.606994,10.303496,5.954970,5.688171,6.340349,6.252854,6.355642,5.988570,7.317148,11.664384,14.231579,16.489029,23.100640,20.280043,21.562793,24.311327,23.735198,23.796386,23.118181,23.269722,19.886981,20.000975,19.967642,24.278910,17.447721,14.536114,20.646378,19.096832,20.258060,19.803196)
y=1:52
w=c(-2784,-2897,-2897,-2066,-2466,-2466,-2466,-2466,-2102,-2102,-2102,-2202,-2094,-2094,-2094,-2094,-1691,-1691,-1691,-1691,-1691,-1674,-1774,-1774,-2019,-2019,-2019,-2019,-2019,-1988,-1988,-1988,-1988,-1988,-1888,-1888,-1888,-1888,-1888,-1888,-1888,-1488,-2051,-2051,-2051,-2051,-2315,-2315,-2315)
v=1:49
When I try to plot these, my grid does not match the tick marks. Is there a way to fix this in base?
plot(y,x,type='l',col='blue',log='y')
grid(NA,NULL)
Resulting plot:
And the other plot:
plot(v,w,type='l',yaxt='n')
grid(NA,NULL)
axis(2,pretty(w),format(pretty(w)/1000,big.mark=','))
Result:
I put both up because I am using different techniques to label the y axis, and one is a log chart while the other is not. By the way, I have hundreds of other data sets that are placing the grid lines by the tick marks. It is just these two that are not matching grids to ticks.
For the first plot, just use equilogs=F.
For the second plot, since you are using non-default axis ticks, I think you'll have to resort to abline like it says in ?grid. Good luck!
I use par(new=T) before each of my plots to add my plot to the same graph.
However, when I do that it superimposes the two plots and the axis values get overwritten over each other and look messed up.
How do I properly add plot to the same graph that also normalizes axis intervals based on the two plots?
Use of par(new=TRUE) should be saved as a very last resort, usually there is a better/easier way. When creating the original plot set the xlim and ylim to include enough space for all the variables you will be plotting, then us functions like lines, points, symbols, or others to add the additional information: e.g.:
plot(x1,y1, xlim=range(x1,x2,x3), ylim=range(y1,y2,y3))
points(x2,y2, col='blue')
points(x3,y3, col='red')
There is also the matplot function which can plot several lines or sets of points in a single command.
Even better is to combine the data sets together then use xyplot from the lattice package or the ggplot2 package to do the multiple plots in one step.
There are also some functions in the plotrix package for combining graphs (with different scales as an option).
If you really need to use par(new=TRUE), then just specify the xlim and ylim in every plotting function to force them to line up. You can also supress the plotting of the default axes by specifying axes=FALSE or xaxt='n', yaxt='n', then, if wanted, you can use the axis function to put in axes on the other sides and can specify exactly where you want tick marks and labels.
Try ?lines, ?points, ?abline, or ?plot.xy.