Has Plots changed something about vline(!)? Today in the newly installed machine I tried:
begin
pyplot()
Plots.plot([57,89])
Plots.vline!([1.25])
end
and got the error quoted at the bottom. The new Plots is v"1.20.0" while on the v"1.19.3" machine it worked fine.
MethodError: no method matching Val{:vline}
Worked for me on Plots v1.21.3, with PyPlot v2.9.0:
Related
I am currently in the process of plotting a directed graphs using Julia. After some time on the internet I came across the GraphPLot package which seems to be doing an ok job.
However, I can't find out how to add node labels! Here is my code and output from the jupyter notebook.
Update:
I tried the suggested method from GitHub
nodelabel = [1:number_vertices(g)]
gplot(g, nodelabel = nodelabel)
But I get a weird error:
LoadError: Must have one label per node (or none)
while loading In[44], in expression starting on line 1
Changing
nodelabel = [1:num_vertices(g)]
To nodelabel = collect(1:num_vertices(g)) solves the issue.
Using Julia 0.3.10 with Juno as IDE and Gadfly latest one. Tried running a sample code, but got stuck with add_plot_element not defined error message. The last line throws the error. Running on Win8 64bit. I'm sure I'm missing something.
using Gadfly
xs = [0:0.1:pi]
k = layer(x=xs, y=sin(xs))
p = plot(x=xs, y=sin(xs))
add_plot_element(k, Guide.title("Now it has a title"))
First, add_plot_element is modifying, so you need the ! like:
add_plot_element!(k,Guide.title(...))
This function is also not exported from Gadfly, so you would really need to write:
Gadfly.add_plot_element!(k, Guide.title("Now it has a title"))
except add_plot_element! doesn't work on Gadfly layers! It does, however, work on plots. What should work:
Gadfly.add_plot_element!(p, Guide.title("Now it has a title"))
since the layer itself doesn't have Guide.Title elements, but the plot does.
I've created a custom plotting function for a scatterplot with error bars on multiple series using rCharts. I successfully embedded said plot in a shiny application. The first time it shows everything works fine:
However, if I try to update the plot (e.g. by changing some input) the plot does not change and I get the following JS error message on the browser's console:
TypeError: 'undefined' is not a function (evaluating 'this[b].destroy()')
The strange thing is that if I check the plot object (p) it seems fine, e.g. I can plot it in Rstudio and also get a viable html page from it. I guess the problem is somehow that the old plot cannot be removed properly.
I use rCharts v. 0.4.5 and shiny 0.10.2.1 and I have uploaded an example shiny app to github:
https://github.com/mlist/highcharts_scatterplot_example
As extra dependency you will need to install the packages rjson and foreach. You can then run the app with
runGitHub(repo="mlist/highcharts_scatterplot_example")
```
Use renderChart2 rather then renderChart. Replace output$testPlot with :
output$testPlot <- renderChart2({
p <- highcharts.scatterplot.plate(data.frame(seq(1:nrow(iris)),iris[,2], input$error, iris[,5]))
return(p)
})
You can try the change at:
shiny::runGitHub(repo="johndharrison/highcharts_scatterplot_example")
I'm currently working through this tutorial and I'm having trouble getting the png image to display. This is my program.
using DataFrames
using Gadfly
train_df = readtable("winequality-red.csv", separator=';')
_, count = hist(train_df["quality"])
class = sort(unique(train_df["quality"]))
value_counts = DataFrame(count=count, class=class)
#value_counts
p = plot(value_counts, x="class", y="count", Geom.bar(), Guide.title("Class distributions (\"quality\")"))
draw(PNG(14cm, 10cm), p)
the error I get is
LoadError("C:/Users/John/Desktop/helloworld.jl",12,MethodError(PNG,(140.0mm,100.0mm)))
I've tried some of the things mentioned in this discussion, however I haven't made any observable progress.
I was able to solve my problem by installing Cairo.
Pkg.add("Cairo")
and changing this line
draw(PNG(14cm, 10cm), p)
to
draw(PNG("chart.png", 14cm, 10cm), p)
and then opening chart.png with Julia Studio
I have the scatterplot3d package installed in R. When I load it with library(scatterplot3d) or require(scatterplot3d) I am able to create a 3d scatter plot. However, when I try to use the points3d function I get the following error:
Error: could not find function "points3d"
I tried reinstalling the package to no avail (both inside R and as a tarball using R CMD INSTALL in the command line). I am running Xubuntu 12.10 kernel 3.8.7-030807-generic and R version 2.15.3 (2013-03-01).
Entering locate points3d in the command line gave me no results.
I also tried the par.mar default settings command as explained in the manual.
scatterplot3d does an interesting object-oriented twist on the usual R practice. The object returned from the function call includes the points3d function as built-in part of the object but it is not in the Global environment. It is intended that you add to the existing plot-object using that "attached" function that is not a free-living organism but rather a domesticated animal that only exists in the object corral, so you would use this as your syntax:
object$point3d(x,y,z)
I do "feel your pain" but can show you how to overcome the frustration, since I created a working example yesterday: Using scatterplot3d to plot a sphere
You need to intall the package plot3D in the usual way via
install.packages("plot3D")
Then you just need to import, generate the dataset and use the function points3D()
library(plot3D)
x = rnorm(100)
y = rnorm(100)
z = x + y + rnorm(100,0,1)
points3D(x, y, z, col = rainbow(1000))
This is the plot generated by the code above