ggplot_diamonds

####################################
# diamond data bar chart
# Questions? Email feedback@plot.ly
# For more docs, see plot.ly/api
####################################
library(plotly)

py <- plotly(username='USERNAME', key='API_KEY')


#return list of n ggplot default colors (evenly spaced around the color wheel)
gg_color_hue <- function(n) {
    hues = seq(15, 375, length=n+1)
    hcl(h=hues, l=65, c=100)[1:n]
}

#combine elements with same name in two named lists (useful for combining layouts)
appendList <- function (x, val) 
{
    stopifnot(is.list(x), is.list(val))
    xnames <- names(x)
    for (v in names(val)) {
        x[[v]] <- if (v %in% xnames && is.list(x[[v]]) && is.list(val[[v]])) 
            appendList(x[[v]], val[[v]])
        else c(x[[v]], val[[v]])
    }
    x
}

#returns margins, based on existence of legend
margins <- function(l){
            if(l){
                  return (list(
                          b = 57,
                          t = 80,
                          r = 151,
                          l = 81,
                          pad = 0
                         )
                      )
                  }
              else{
                    return (list(
                          b = 57,
                          t = 80,
                          r = 41,
                          l = 81,
                          pad = 0
                         )
                      )
                }
          }
##########################################################
library(ggplot2)

#convert data frame to list of lists used by plotly
l_diamonds <- lapply(split(diamonds,seq_along(diamonds[1,1])), function(l){list(as.list(l))})

#extract data
clarity <- get('clarity',l_diamonds[[1]][[1]])
cut <- row.names(table(get('cut',l_diamonds[[1]][[1]])))


y <- lapply(seq(5),function(i){
                as.vector(
                      table(
                          get('clarity',subset(diamonds, cut==cut[i]))
                         )
                    )


              }


      )
#generate colors
ggcols <- gg_color_hue(5)
cols <- list(ggcols[1],ggcols[2],ggcols[3], ggcols[4],ggcols[5])


#populate dataset
#data <- as.list(seq())
data <- 
  lapply(seq(5),function(i){return(list(
      x = row.names(table(clarity)),
      y = y[i][[1]],
      name = cut[i],
      type = 'bar',
      mode = 'stack',
      marker = list(
              color = rep(cols[i],length(row.names(table(clarity))))
             )
    ))})

  

legend <- TRUE # change to TRUE to make legend visible and adjust layout (to ggplot standards)
#default layout options for ggplot default theme_grey exported to pdf through Quartz 2 (OSX)
gglayout <- list(
          plot_bgcolor = "#E5E5E5",
          font = list(
                  color = "#000000",
                  face = "Arial, sans-serif",
                  size = 12
                ),
          xaxis = list(
                  gridcolor = "#FFFFFF",
                  gridwith = 1,
                  zeroline = FALSE,
                  showline = FALSE,
                  mirror = FALSE,
                  tickwidth =1,
                  ticklen = 5,
                  tickcolor = "7f7f7f",
                  tickfont = list(
                            color = "#7f7f7f",
                            face = "Arial, sans-serif",
                            size = 9.6
                          )
                ),
          yaxis = list(
                  gridcolor = "#FFFFFF",
                  zeroline = FALSE,
                  showline = FALSE,
                  mirror = FALSE,
                  tickwidth =1,
                  ticklen = 5,
                  tickcolor = "7f7f7f",
                  tickfont = list(
                    color = "#7f7f7f",
                    face = "Arial, sans-serif",
                    size = 9.6
                  )
                ),
          showlegend = legend,
          legend =  list(
                  bgcolor = 'F2F2F2',
                  bordercolor = 'rgba(0,0,0,0)',
                  x = 1.4
                  ),
          width = 554,
          height = 539,
          margin = margins(legend)

         )


#layout options for this plot
plotlayout <- list(
          xaxis = list(
                  title = 'wt'
                ),
          yaxis = list(
                  title = 'mpg',
                  ticks = list(500,1000)
                )

        )

layout <- appendList(gglayout,plotlayout)


response<-py$plotly(data, kwargs = list(layout=layout))

# url and filename
url <- response$url
filename <- response$filename