Organising your output

[jamesthomson]

Hey plotly gang, I've just been trying out your product using the R API. It seems pretty useful. This isn't an issue as such, I was just looking for some help.

I've seen once you have produced your graph you can go to your workspace rename it to something more useful and pop it in a folder. Is there any way of doing this via your code in R? Otherwise i could see my workspace becoming a real mess very quickly.

I found something in the user guide i thought might help but it wouldn't run. Maybe i'm using it incorrectly or perhaps it doesn't do what i thought it would do at all. Any help would be appreciated.

#initialize acccess to the API
py <- plotly()
#create plot
box<-ggplot(iris, aes(factor(Species), Petal.Width)) + geom_boxplot()
#push your plot through the API
p2 <- py$ggplotly(box)
#how do you name and organise stuff? does this do it
p3 <- py$plotly(box, kwargs=list(filename="boxlabeltest", fileopt="overwrite"))

Error in toJSON(unclass(x), container, collapse, ..., .level = .level +  : 
  error in evaluating the argument 'x' in selecting a method for function 'toJSON': Error in unclass(x) : cannot unclass an environment

[xsaintmleux]

Your last call just needs to be to ggplotly instead of plotly. You can also pass the kwargs on the initial call to name your plot. To create a folder, kwargs$filename can be a complete path, e.g.:

#initialize acccess to the API
py <- plotly()
#create plot
box<-ggplot(iris, aes(factor(Species), Petal.Width)) + geom_boxplot()
#push your plot through the API, with a complete path as its filename
p2 <- py$ggplotly(box, kwargs=list(filename="testfolder/subfolder/boxlabeltest"))
# another plot
box<-ggplot(iris, aes(factor(Species), Petal.Length)) + geom_boxplot()
# replace existing plot with the new one
p3 <- py$ggplotly(box, kwargs=list(filename="testfolder/subfolder/boxlabeltest", fileopt="overwrite"))

Hope this helps!

[jamesthomson]

amazing. that works perfectly. i should have spotted that myself though. thanks for your help