Add support for ggridges

DESCRIPTION

@@ -75,7 +75,8 @@ Suggests:
     palmerpenguins,
     rversions,
     reticulate,
-    rsvg
+    rsvg,
+    ggridges
 LazyData: true
 RoxygenNote: 7.2.3
 Encoding: UTF-8

NAMESPACE

@@ -13,6 +13,7 @@ S3method(geom2trace,GeomErrorbarh)
 S3method(geom2trace,GeomPath)
 S3method(geom2trace,GeomPoint)
 S3method(geom2trace,GeomPolygon)
+S3method(geom2trace,GeomRidgelineGradient)
 S3method(geom2trace,GeomText)
 S3method(geom2trace,GeomTile)
 S3method(geom2trace,default)
@@ -49,6 +50,9 @@ S3method(to_basic,GeomContour)
 S3method(to_basic,GeomCrossbar)
 S3method(to_basic,GeomDensity)
 S3method(to_basic,GeomDensity2d)
+S3method(to_basic,GeomDensityLine)
+S3method(to_basic,GeomDensityRidges)
+S3method(to_basic,GeomDensityRidges2)
 S3method(to_basic,GeomDotplot)
 S3method(to_basic,GeomErrorbar)
 S3method(to_basic,GeomErrorbarh)
@@ -65,6 +69,7 @@ S3method(to_basic,GeomRaster)
 S3method(to_basic,GeomRasterAnn)
 S3method(to_basic,GeomRect)
 S3method(to_basic,GeomRibbon)
+S3method(to_basic,GeomRidgeline)
 S3method(to_basic,GeomRug)
 S3method(to_basic,GeomSegment)
 S3method(to_basic,GeomSf)

NEWS.md

@@ -1,5 +1,9 @@
 # plotly (development version)
 
+## New features
+
+* `ggplotly()` now supports the `{ggridges}` package. (#2314)
+
 ## Bug fixes
 
 * Closed #2337: Creating a new `event_data()` handler no longer causes a spurious reactive update of existing `event_data()`s. (#2339)

R/ggridges.R

@@ -0,0 +1,272 @@
+#' Get data for ridge plots
+#'
+#' @param data dataframe, the data returned by `ggplot2::ggplot_build()`.
+#' @param na.rm boolean, from params
+#'
+#' @return dataframe containing plotting data 
+#'
+get_ridge_data <- function(data, na.rm) {
+  if (isTRUE(na.rm)) {
+    data <- data[stats::complete.cases(data[c("x", "ymin", "ymax")]), ]
+  }
+
+  #if dataframe is empty there's nothing to draw
+  if (nrow(data) == 0) return(list())
+
+  # remove all points that fall below the minimum height
+  data$ymax[data$height < data$min_height] <- NA
+
+  # order data
+  data <- data[order(data$ymin, data$x), ]
+
+  # remove missing points
+  missing_pos <- !stats::complete.cases(data[c("x", "ymin", "ymax")])
+  ids <- cumsum(missing_pos) + 1
+  data$group <- paste0(data$group, "-", ids)
+  data[!missing_pos, ]
+}
+
+
+#' Prepare plotting data for ggridges
+#' @param closed boolean, should the polygon be closed at bottom (TRUE for
+#'   geom_density_ridges2, FALSE for geom_density_ridges)
+prepare_ridge_chart <- function(data, prestats_data, layout, params, p, closed = FALSE, ...) {
+  d <- get_ridge_data(data, params$na.rm)
+
+  # split data into separate groups
+  groups <- split(d, factor(d$group))
+
+  # sort list so lowest ymin values are in the front (opposite of ggridges)
+  o <- order(
+    unlist(
+      lapply(
+        groups,
+        function(data) data$ymin[1]
+      )
+    ),
+    decreasing = FALSE
+  )
+  groups <- groups[o]
+
+  # for each group create a density + vline + point as applicable
+  res <- lapply(
+    rev(groups),
+    function(x) {
+      draw_stuff <- split(x, x$datatype)
+
+      # first draw the basic density ridge part
+      stopifnot(!is.null(draw_stuff$ridgeline))
+
+      d2 <- d1 <- draw_stuff$ridgeline
+      if (!closed) d2$colour <- NA # no colour for density bottom line
+
+      d1$y <- d1$ymax
+      d1$alpha <- 1 # don't use fill alpha for line alpha
+
+      ridges <- list(
+        to_basic(prefix_class(d2, "GeomDensity")),
+        to_basic(prefix_class(d1, "GeomLine"))
+      )
+      # attach the crosstalk group/set
+      ridges[[1]] <- structure(ridges[[1]], set = attr(d2, 'set')) # Density
+      ridges[[2]] <- structure(ridges[[2]], set = attr(d1, 'set')) # Line
+
+      if ('vline' %in% names(draw_stuff)) {
+        draw_stuff$vline$xend <- draw_stuff$vline$x
+        draw_stuff$vline$yend <- draw_stuff$vline$ymax
+        draw_stuff$vline$y    <- draw_stuff$vline$ymin
+        draw_stuff$vline$colour <- draw_stuff$vline$vline_colour
+        draw_stuff$vline$size <- draw_stuff$vline$vline_size
+
+        vlines <- to_basic(
+          prefix_class(draw_stuff$vline, 'GeomSegment'), 
+          prestats_data, layout, params, p, ...
+        )
+        # attach the crosstalk group/set
+        vlines <- structure(vlines, set = attr(draw_stuff$vline, 'set'))
+        ridges <- c(ridges, list(vlines))
+      }
+
+      # points
+      if ('point' %in% names(draw_stuff)) {
+        draw_stuff$point$y <- draw_stuff$point$ymin
+
+        # use point aesthetics
+        draw_stuff$point$shape  <- draw_stuff$point$point_shape
+        draw_stuff$point$fill   <- draw_stuff$point$point_fill
+        draw_stuff$point$stroke <- draw_stuff$point$point_stroke
+        draw_stuff$point$alpha  <- draw_stuff$point$point_alpha
+        draw_stuff$point$colour <- draw_stuff$point$point_colour
+        draw_stuff$point$size   <- draw_stuff$point$point_size
+
+        points <- to_basic(
+          prefix_class(as.data.frame(draw_stuff$point), # remove ridge classes
+                       'GeomPoint'), 
+          prestats_data, layout, params, p, ...
+        )
+        # attach the crosstalk group/set
+        points <- structure(points, set = attr(draw_stuff$point, 'set'))
+        ridges <- c(ridges, list(points))
+      }
+
+      ridges
+    }
+  )
+  res
+}
+
+
+#' @export
+to_basic.GeomDensityRidgesGradient <- function(data, prestats_data, layout, params, p, ...) {
+  res <- prepare_ridge_chart(data, prestats_data, layout, params, p, FALSE, ...)
+  # set list depth to 1
+  unlist(res, recursive = FALSE)
+}
+
+
+#' @export
+to_basic.GeomDensityRidges <- function(data, prestats_data, layout, params, p, ...) {
+  to_basic(
+    prefix_class(data, 'GeomDensityRidgesGradient'),
+    prestats_data, layout, params, p, 
+    closed = FALSE, 
+    ...
+  )
+}
+
+
+#' @export
+to_basic.GeomDensityRidges2 <- function(data, prestats_data, layout, params, p, ...) {
+  to_basic(
+    prefix_class(data, 'GeomDensityRidgesGradient'),
+    prestats_data, layout, params, p, 
+    closed = TRUE, 
+    ...
+  )
+}
+
+
+
+#' @export
+to_basic.GeomDensityLine <- function(data, prestats_data, layout, params, p, ...) {
+  to_basic(prefix_class(data, 'GeomDensity'))
+}
+
+
+
+#' @export
+to_basic.GeomRidgeline <- function(data, prestats_data, layout, params, p, ...) {
+  to_basic(
+    prefix_class(data, 'GeomDensityRidgesGradient'),
+    prestats_data, layout, params, p, ...
+  )
+}
+
+
+#' @export
+to_basic.GeomRidgelineGradient <- function(data, prestats_data, layout, params, p, ...) {
+  d <- get_ridge_data(data, params$na.rm)
+
+  # split data into separate groups
+  groups <- split(d, factor(d$group))
+
+  # sort list so lowest ymin values are in the front (opposite of ggridges)
+  o <- order(
+    unlist(
+      lapply(
+        groups,
+        function(data) data$ymin[1]
+      )
+    ),
+    decreasing = FALSE
+  )
+  groups <- groups[o]
+
+  # for each group create a density + vline + point as applicable
+  res <- lapply(
+    rev(groups),
+    function(x) {
+
+      draw_stuff <- split(x, x$datatype)
+
+      # first draw the basic density ridge part
+
+      stopifnot(!is.null(draw_stuff$ridgeline))
+      d2 <- d1 <- draw_stuff$ridgeline
+      d2$colour <- NA # no colour for density area
+      d2$fill_plotlyDomain <- NA
+
+      d1$y <- d1$ymax
+      d1$alpha <- 1 # don't use fill alpha for line alpha
+
+      # calculate all the positions where the fill type changes
+      fillchange <- c(FALSE, d2$fill[2:nrow(d2)] != d2$fill[1:nrow(d2)-1])
+
+      # and where the id changes
+      idchange <- c(TRUE, d2$group[2:nrow(d2)] != d2$group[1:nrow(d2)-1])
+
+      # make new ids from all changes in fill style or original id
+      d2$ids <- cumsum(fillchange | idchange)
+
+      # get fill color for all ids
+      fill <- d2$fill[fillchange | idchange]
+
+      # rows to be duplicated
+      dupl_rows <- which(fillchange & !idchange)
+      d2$y <- d2$ymax
+      if (length(dupl_rows) > 0) {
+        rows <- d2[dupl_rows, ]
+        rows$ids <- d2$ids[dupl_rows-1]
+        rows <- rows[rev(seq_len(nrow(rows))), , drop = FALSE]
+        # combine original and duplicated d2
+        d2 <- rbind(d2, rows)
+      }
+
+      # split by group to make polygons
+      d2 <- tibble::deframe(tidyr::nest(d2, .by = 'ids'))
+
+      ridges <- c(
+        d2,
+        list(
+          to_basic(prefix_class(d1, "GeomLine"))
+        )
+      )
+
+      ridges
+    }
+  )
+  # set list depth to 1
+  unlist(res, recursive = FALSE)
+}
+
+
+
+#' @export
+geom2trace.GeomRidgelineGradient <- function(data, params, p) {
+  # munching for polygon
+  positions <- data.frame(
+    x = c(data$x   , rev(data$x)),
+    y = c(data$ymax, rev(data$ymin))
+  )
+
+  L <- list(
+    x          = positions[["x"]],
+    y          = positions[["y"]],
+    text       = uniq(data[["hovertext"]]),
+    key        = data[["key"]],
+    customdata = data[["customdata"]],
+    frame      = data[["frame"]],
+    ids        = positions[["ids"]],
+    type       = "scatter",
+    mode       = "lines",
+    line       = list(
+      width = aes2plotly(data, params, linewidth_or_size(GeomPolygon)),
+      color = toRGB('black'),
+      dash  = aes2plotly(data, params, "linetype")
+    ),
+    fill       = "toself",
+    fillcolor  = toRGB(unique(data$fill[1])),
+    hoveron    = hover_on(data)
+  )
+  compact(L)
+}