diff --git a/DESCRIPTION b/DESCRIPTION
index cdda89c7c1..b8c0ec0102 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
Package: plotly
Title: Create Interactive Web Graphics via 'plotly.js'
-Version: 3.6.5
+Version: 4.0.0
Authors@R: c(person("Carson", "Sievert", role = c("aut", "cre"),
email = "cpsievert1@gmail.com"),
person("Chris", "Parmer", role = c("aut", "cph"),
@@ -20,6 +20,7 @@ Description: Easily translate 'ggplot2' graphs to an interactive web-based versi
URL: https://plot.ly/r, https://github.com/ropensci/plotly
BugReports: https://github.com/ropensci/plotly/issues
Depends:
+ R (>= 2.10),
ggplot2 (>= 2.1.0)
Imports:
scales,
@@ -27,13 +28,14 @@ Imports:
jsonlite,
magrittr,
digest,
- viridis,
+ viridisLite,
base64enc,
htmlwidgets,
tidyr,
- hexbin
-Suggests:
dplyr,
+ hexbin,
+ lazyeval (>= 0.2.0)
+Suggests:
maps,
ggthemes,
GGally,
@@ -47,7 +49,9 @@ Suggests:
RColorBrewer,
Rserve,
RSclient,
- broom
+ broom,
+ webshot,
+ listviewer
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 5.0.1
diff --git a/LICENSE b/LICENSE
index 6ea7fce0d9..7a86fec81b 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,2 +1,2 @@
-YEAR: 2014
-COPYRIGHT HOLDER: Chris Parmer
\ No newline at end of file
+YEAR: 2016
+COPYRIGHT HOLDER: Chris Parmer
diff --git a/NAMESPACE b/NAMESPACE
index 0df6ffa82c..41c87a4e27 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -13,14 +13,12 @@ S3method(geom2trace,GeomTile)
S3method(geom2trace,default)
S3method(ggplotly,ggmatrix)
S3method(ggplotly,ggplot)
-S3method(plotly_build,default)
+S3method(layout,matrix)
+S3method(layout,plotly)
S3method(plotly_build,gg)
-S3method(plotly_build,plotly_built)
-S3method(plotly_build,plotly_hash)
-S3method(plotly_build,plotly_subplot)
-S3method(print,figure)
-S3method(print,plotly_built)
-S3method(print,plotly_hash)
+S3method(plotly_build,list)
+S3method(plotly_build,plotly)
+S3method(print,plotly_figure)
S3method(to_basic,GeomAbline)
S3method(to_basic,GeomArea)
S3method(to_basic,GeomBoxplot)
@@ -47,20 +45,57 @@ S3method(to_basic,GeomViolin)
S3method(to_basic,GeomVline)
S3method(to_basic,default)
export("%>%")
+export(add_area)
+export(add_bars)
+export(add_boxplot)
+export(add_choropleth)
+export(add_contour)
+export(add_data)
+export(add_heatmap)
+export(add_histogram)
+export(add_histogram2d)
+export(add_histogram2dcontour)
+export(add_lines)
+export(add_markers)
+export(add_paths)
+export(add_polygons)
+export(add_ribbons)
+export(add_scattergeo)
+export(add_segments)
+export(add_surface)
+export(add_text)
export(add_trace)
+export(arrange)
+export(arrange_)
+export(arrange_.plotly)
export(as.widget)
export(config)
+export(distinct)
+export(distinct_)
+export(distinct_.plotly)
+export(do)
+export(do_)
export(embed_notebook)
export(event_data)
+export(export)
+export(filter)
+export(filter_)
+export(filter_.plotly)
export(geom2trace)
export(get_figure)
export(gg2list)
export(ggplotly)
-export(knit_print.figure)
-export(knit_print.plotly_built)
-export(knit_print.plotly_hash)
-export(last_plot)
+export(group_by)
+export(group_by_)
+export(group_by_.plotly)
+export(groups)
+export(groups.plotly)
+export(hide_colorbar)
+export(knit_print.plotly_figure)
export(layout)
+export(mutate)
+export(mutate_)
+export(mutate_.plotly)
export(offline)
export(plot_ly)
export(plotly)
@@ -69,16 +104,62 @@ export(plotly_IMAGE)
export(plotly_POST)
export(plotly_build)
export(plotly_empty)
+export(plotly_json)
+export(rename)
+export(rename_)
+export(rename_.plotly)
export(renderPlotly)
+export(schema)
+export(select)
+export(select_)
+export(select_.plotly)
export(signup)
+export(slice)
+export(slice_)
+export(slice_.plotly)
export(style)
export(subplot)
+export(summarise)
+export(summarise_)
+export(summarise_.plotly)
export(toRGB)
+export(toWebGL)
export(to_basic)
+export(transmute)
+export(transmute_)
+export(transmute_.plotly)
+export(ungroup)
+export(ungroup.plotly)
import(ggplot2)
importFrom(base64enc,base64encode)
+importFrom(dplyr,arrange)
+importFrom(dplyr,arrange_)
+importFrom(dplyr,distinct)
+importFrom(dplyr,distinct_)
+importFrom(dplyr,do)
+importFrom(dplyr,do_)
+importFrom(dplyr,filter)
+importFrom(dplyr,filter_)
+importFrom(dplyr,group_by)
+importFrom(dplyr,group_by_)
+importFrom(dplyr,groups)
+importFrom(dplyr,mutate)
+importFrom(dplyr,mutate_)
+importFrom(dplyr,rename)
+importFrom(dplyr,rename_)
+importFrom(dplyr,select)
+importFrom(dplyr,select_)
+importFrom(dplyr,slice)
+importFrom(dplyr,slice_)
+importFrom(dplyr,summarise)
+importFrom(dplyr,summarise_)
+importFrom(dplyr,transmute)
+importFrom(dplyr,transmute_)
+importFrom(dplyr,ungroup)
importFrom(grDevices,col2rgb)
+importFrom(graphics,layout)
importFrom(htmlwidgets,createWidget)
+importFrom(htmlwidgets,saveWidget)
importFrom(htmlwidgets,shinyRenderWidget)
importFrom(htmlwidgets,shinyWidgetOutput)
importFrom(htmlwidgets,sizingPolicy)
@@ -91,13 +172,20 @@ importFrom(httr,content)
importFrom(httr,stop_for_status)
importFrom(jsonlite,fromJSON)
importFrom(jsonlite,toJSON)
+importFrom(lazyeval,all_dots)
+importFrom(lazyeval,f_eval)
+importFrom(lazyeval,is_formula)
+importFrom(lazyeval,is_lang)
importFrom(magrittr,"%>%")
importFrom(stats,complete.cases)
+importFrom(stats,quantile)
importFrom(stats,setNames)
importFrom(tidyr,gather)
+importFrom(tidyr,gather_)
+importFrom(tidyr,unnest)
importFrom(utils,browseURL)
importFrom(utils,data)
importFrom(utils,getFromNamespace)
importFrom(utils,modifyList)
importFrom(utils,packageVersion)
-importFrom(viridis,viridis)
+importFrom(viridisLite,viridis)
diff --git a/NEWS b/NEWS
index 0ec2413f7e..55b60747fe 100644
--- a/NEWS
+++ b/NEWS
@@ -1,4 +1,34 @@
-3.6.4 -- 31 May 2016
+4.0.0
+
+BREAKING CHANGES & IMPROVEMENTS:
+
+* Formulas (instead of plain expressions) are now required when using variable mappings. For example, `plot_ly(mtcars, x = wt, y = mpg, color = vs)` should now be `plot_ly(mtcars, x = ~wt, y = ~mpg, color = ~vs)`. This is a major breaking change, but it is necessary to ensure that evaluation is correct in all contexts (as a result, `evaluate` argument is now deprecated as it is no longer needed). It also has the benefit of being easier to program with (i.e., writing your own custom functions that wrap `plot_ly()`). For more details, see the [lazyeval vignette](https://github.com/hadley/lazyeval/blob/master/vignettes/lazyeval.Rmd)
+* The data structure used to represent plotly objects is now an htmlwidget object (instead of a data frame with a special attribute tracking visual mappings). As a result, the `as.widget()` function has been deprecated, and [serialization/memory leak problems](https://github.com/rstudio/shiny/issues/1151) are no longer an issue. This change also implies that arbitrary data manipulation functions can no longer be intermingled inside a plot pipeline, but plotly methods for dplyr's data manipulation verbs are now provided (see `?plotly_data` for examples).
+* The `group` variable mapping no longer create multiple traces, but instead defines "gaps" within a trace (fixes #418, #381, #577). Groupings should be declared via the new `group_by()` function (see `help(plotly_data)` for examples) instead of the `group` argument (which is now deprecated).
+* `plot_ly()` now _initializes_ a plotly object (i.e., won't add a scatter trace by default), meaning that something like `plot_ly(x = 1:10, y = 1:10) %>% add_trace(y = 10:1)` creates one trace, instead of two. That being said, if you manually specify a trace type in `plot_ly()`, it will add a layer with that trace type (e.g. `plot_ly(x = 1:10, y = 1:10, type = "scatter") %>% add_trace(y = 10:1)` draws two scatter traces). If no trace type is provided, a sensible type is inferred from the supplied data, and automatically added (i.e., `plot_ly(x = rnorm(100))` now creates a histogram).
+* The `inherit` argument is deprecated. Any arguments/attributes specified in `plot_ly()` will automatically be passed along to additional traces added via `add_trace()` (or any of it's `add_*()` siblings).
+* Aesthetic scaling (e.g., `color`, `symbol`, `size`) is applied at the plot-level, instead of the trace level.
+
+NEW FEATURES & IMPROVEMENTS:
+
+* Added `linetype`/`linetypes` arguments for mapping discrete variables to line types (works very much like the `symbol`/`symbols`).
+* Scaling for aesthetics can be avoided via `I()` (closes #428). This is mainly useful for changing default appearance (e.g. `plot_ly(x = 1:10, y = 1:10, color = I(rainbow(10)))`).
+* Symbols and linetypes now recognize `pch` and `lty` values (e.g. `plot_ly(x = 1:25, y = 1:25, symbol = I(0:24))`)
+* A new `alpha` argument controls the alpha transparency of `color` (e.g. `plot_ly(x = 1:10, y = 1:10, color = I("red"), alpha = 0.1)`).
+* Added a `sizes` argument for controlling the range of marker size scaling.
+* New `add_polygons()`/`add_ribbons()`/`add_area()`/`add_segments()`/`add_lines()`/`add_markers()`/`add_paths()`/`add_text()` functions provide a shorthand for common special cases of `add_trace()`.
+* New `toWebGL()` function for easy conversion from SVG to WebGL.
+* New `export()` function makes it easy to save plots as png/jpeg/pdf (fixes #311).
+* Misspecified trace/layout attributes produce a warning.
+* New `plotly_data()` function for returning/inspecting data frame(s) associated with a plotly object.
+* New `plotly_json()` function for inspecting the data sent to plotly.js (as an R list or JSON).
+* `layout()` is now a generic function and uses method dispatch to avoid conflicts with `graphics:layout()` (fixes #464).
+
+OTHER CHANGES:
+
+* Upgraded to plotly.js v1.14.1 -- https://github.com/plotly/plotly.js/releases/tag/v1.14.1
+
+3.6.5 -- 10 June 2016
IMPROVEMENT:
diff --git a/R/add.R b/R/add.R
new file mode 100644
index 0000000000..79149fc2eb
--- /dev/null
+++ b/R/add.R
@@ -0,0 +1,488 @@
+#' Add data to a plotly visualization
+#'
+#' @param p a plotly visualization
+#' @param data a data frame.
+#' @export
+#' @examples
+#'
+#' plot_ly() %>% add_data(economics) %>% add_trace(x = ~date, y = ~pce)
+add_data <- function(p, data = NULL) {
+ if (is.null(data)) return(p)
+ if (!is.plotly(p)) {
+ stop("Don't know how to add traces to an object of class: ",
+ class(p), call. = FALSE)
+ }
+ id <- new_id()
+ p$x$visdat[[id]] <- function() data
+ p$x$cur_data <- id
+ # TODO: should this also override the data used for the most recent trace?
+ p
+}
+
+#' Add trace(s) to a plotly visualization
+#'
+#' @param p a plotly or ggplot object.
+#' @param ... These arguments are documented in the references section below.
+#' Note that acceptable arguments depend on the trace type.
+#' @param x the x variable.
+#' @param y the y variable.
+#' @param text textual labels.
+#' @param ymin a variable used to define the lower boundary of a polygon.
+#' @param ymax a variable used to define the upper boundary of a polygon.
+#' @param color Either a variable name or a vector to use for color mapping.
+#' @param alpha alpha channel applied to color (on 0-1 scale).
+#' @param symbol Either a variable name or a (discrete) vector to use for symbol encoding.
+#' @param size A variable name or numeric vector to encode the size of markers.
+#' @param linetype Either a variable name or a (discrete) vector to use for linetype encoding.
+#' @param data A data frame to associate with this trace (optional). If not
+#' provided, arguments are evaluated using the data frame in \code{\link{plot_ly}()}.
+#' @seealso \code{\link{plot_ly}()}
+#' @references \url{https://plot.ly/r/reference/}
+#' @author Carson Sievert
+#' @export
+#' @rdname add_trace
+#' @examples
+#'
+#' p <- plot_ly(economics, x = ~date, y = ~uempmed)
+#' p
+#' p %>% add_markers()
+#' p %>% add_lines()
+#' p %>% add_text(text = ".")
+#'
+#' # attributes declared in plot_ly() carry over to downstream traces
+#' plot_ly(economics, x = ~date, y = ~uempmed) %>%
+#' add_lines(line = list(color = "red")) %>%
+#' add_markers(color = ~pop) %>%
+#' layout(showlegend = FALSE)
+#'
+add_trace <- function(p, ...,
+ color, symbol, size, linetype, data = NULL) {
+ # "native" plotly arguments
+ attrs <- list(...)
+
+ # tack on "special" arguments
+ attrs$color <- if (!missing(color)) color
+ attrs$symbol <- if (!missing(symbol)) symbol
+ attrs$linetype <- if (!missing(linetype)) linetype
+ attrs$size <- if (!missing(size)) size
+
+ if (!is.null(attrs[["group"]])) {
+ warning("The group argument has been deprecated. Use group_by() instead.")
+ }
+
+ p <- add_data(p, data)
+
+ # inherit attributes from the "first layer"
+ new_attrs <- modify_list(p$x$attrs[[1]], attrs)
+
+ p$x$attrs <- c(
+ p$x$attrs %||% list(),
+ setNames(list(new_attrs), p$x$cur_data)
+ )
+
+ p
+}
+
+#' @inheritParams add_trace
+#' @rdname add_trace
+#' @export
+add_markers <- function(p, x = NULL, y = NULL, z = NULL, ...) {
+ if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) {
+ stop("Must supply `x` attribute", call. = FALSE)
+ }
+ if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) {
+ stop("Must supply `y` attribute", call. = FALSE)
+ }
+ hasZ <- !is.null(z <- z %||% p$x$attrs[[1]][["z"]])
+ type <- if (hasZ) "scatter3d" else "scatter"
+ add_trace(
+ p, x = x, y = y, type = type, mode = "markers", ...
+ )
+}
+
+
+#' @inheritParams add_trace
+#' @rdname add_trace
+#' @export
+add_text <- function(p, x = NULL, y = NULL, z = NULL, text = NULL, ...) {
+ if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) {
+ stop("Must supply `x` attribute", call. = FALSE)
+ }
+ if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) {
+ stop("Must supply `y` attribute", call. = FALSE)
+ }
+ if (is.null(text <- text %||% p$x$attrs[[1]][["text"]])) {
+ stop("Must supply `text` attribute", call. = FALSE)
+ }
+ hasZ <- !is.null(z <- z %||% p$x$attrs[[1]][["z"]])
+ type <- if (hasZ) "scatter3d" else "scatter"
+ add_trace(p, x = x, y = y, text = text, type = type, mode = "text", ...)
+}
+
+
+#' @inheritParams add_trace
+#' @rdname add_trace
+#' @export
+add_paths <- function(p, x = NULL, y = NULL, z = NULL, ...) {
+ if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) {
+ stop("Must supply `x` attribute", call. = FALSE)
+ }
+ if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) {
+ stop("Must supply `y` attribute", call. = FALSE)
+ }
+ hasZ <- !is.null(z <- z %||% p$x$attrs[[1]][["z"]])
+ type <- if (hasZ) "scatter3d" else "scatter"
+ add_trace_classed(
+ p, x = x, y = y, class = "plotly_path", type = type, mode = "lines", ...
+ )
+}
+
+#' @inheritParams add_trace
+#' @rdname add_trace
+#' @export
+#' @examples
+#' txhousing %>%
+#' group_by(city) %>%
+#' plot_ly(x = ~date, y = ~median) %>%
+#' add_lines(fill = "black")
+add_lines <- function(p, x = NULL, y = NULL, z = NULL, ...) {
+ if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) {
+ stop("Must supply `x` attribute", call. = FALSE)
+ }
+ if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) {
+ stop("Must supply `y` attribute", call. = FALSE)
+ }
+ hasZ <- !is.null(z <- z %||% p$x$attrs[[1]][["z"]])
+ type <- if (hasZ) "scatter3d" else "scatter"
+
+ add_trace_classed(
+ p, x = x, y = y, class = "plotly_line", type = type, mode = "lines", ...
+ )
+}
+
+
+#' @inheritParams add_trace
+#' @rdname add_trace
+#' @export
+add_segments <- function(p, x = NULL, y = NULL, xend = NULL, yend = NULL, ...) {
+ if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) {
+ stop("Must supply `x` attribute", call. = FALSE)
+ }
+ if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) {
+ stop("Must supply `y` attribute", call. = FALSE)
+ }
+ if (is.null(xend <- xend %||% p$x$attrs[[1]][["xend"]])) {
+ stop("Must supply `xend` attribute", call. = FALSE)
+ }
+ if (is.null(yend <- yend %||% p$x$attrs[[1]][["yend"]])) {
+ stop("Must supply `yend` attribute", call. = FALSE)
+ }
+ add_trace_classed(
+ p, x = x, y = y, xend = xend, yend = yend,
+ class = "plotly_segment", type = "scatter", mode = "lines", ...
+ )
+}
+
+
+
+#' @inheritParams add_trace
+#' @rdname add_trace
+#' @export
+#' @examples
+#'
+#' ggplot2::map_data("world", "canada") %>%
+#' group_by(group) %>%
+#' plot_ly(x = ~long, y = ~lat) %>%
+#' add_polygons(hoverinfo = "none") %>%
+#' add_markers(text = ~paste(name, "
", pop), hoverinfo = "text",
+#' data = maps::canada.cities) %>%
+#' layout(showlegend = FALSE)
+add_polygons <- function(p, x = NULL, y = NULL, ...) {
+ if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) {
+ stop("Must supply `x` attribute", call. = FALSE)
+ }
+ if (is.null(y <- y %||% p$x$attrs[[1]][["y"]])) {
+ stop("Must supply `y` attribute", call. = FALSE)
+ }
+ add_trace_classed(
+ p, class = "plotly_polygon", x = x, y = y,
+ type = "scatter", fill = "toself", mode = "lines", ...
+ )
+}
+
+
+#' @inheritParams add_trace
+#' @rdname add_trace
+#' @export
+#' @examples
+#'
+#' plot_ly(economics, x = ~date) %>%
+#' add_ribbons(ymin = ~pce - 1e3, ymax = ~pce + 1e3)
+
+add_ribbons <- function(p, x = NULL, ymin = NULL, ymax = NULL, ...) {
+ if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) {
+ stop("Must supply `x` attribute", call. = FALSE)
+ }
+ if (is.null(ymin <- ymin %||% p$x$attrs[[1]][["ymin"]])) {
+ stop("Must supply `ymin` attribute", call. = FALSE)
+ }
+ if (is.null(ymax <- ymax %||% p$x$attrs[[1]][["ymax"]])) {
+ stop("Must supply `ymax` attribute", call. = FALSE)
+ }
+
+ add_trace_classed(
+ p, class = c("plotly_ribbon", "plotly_polygon"),
+ x = x, ymin = ymin, ymax = ymax, type = "scatter", mode = "lines",
+ fill = "toself", ...
+ )
+}
+
+
+#' @inheritParams add_trace
+#' @rdname add_trace
+#' @export
+#' @examples
+#' huron <- data.frame(year = 1875:1972, level = as.vector(LakeHuron))
+#' plot_ly(huron, x = ~year, ymax = ~level) %>% add_area()
+add_area <- function(p, x = NULL, ymax = NULL, ...) {
+ if (is.null(x <- x %||% p$x$attrs[[1]][["x"]])) {
+ stop("Must supply `x` attribute", call. = FALSE)
+ }
+ if (is.null(ymax <- ymax %||% p$x$attrs[[1]][["ymax"]])) {
+ stop("Must supply `ymax` attribute", call. = FALSE)
+ }
+ add_trace_classed(
+ p, class = c("plotly_area", "plotly_ribbon", "plotly_polygon"),
+ x = x, ymax = ymax,
+ type = "scatter", fill = "toself", mode = "lines", ...
+ )
+}
+
+
+
+#' @inheritParams add_trace
+#' @rdname add_trace
+#' @export
+#' @examples
+#' library(dplyr)
+#' mtcars %>%
+#' count(vs) %>%
+#' plot_ly(x = ~vs, y = ~n) %>%
+#' add_bars()
+add_bars <- function(p, x = NULL, y = NULL, ...) {
+ x <- x %||% p$x$attrs[[1]][["x"]]
+ y <- y %||% p$x$attrs[[1]][["y"]]
+ if (is.null(x) && is.null(y)) {
+ stop("Must supply `x` and/or `y` attributes", call. = FALSE)
+ }
+ # TODO: provide type checking in plotly_build for this trace type
+ add_trace_classed(
+ p, class = "plotly_bar", x = x, y = y, type = "bar", ...
+ )
+}
+
+
+#' @inheritParams add_trace
+#' @rdname add_trace
+#' @export
+#' @examples
+#'
+#' plot_ly(x = ~rnorm(100)) %>% add_histogram()
+add_histogram <- function(p, x = NULL, y = NULL, ...) {
+ x <- x %||% p$x$attrs[[1]][["x"]]
+ y <- y %||% p$x$attrs[[1]][["y"]]
+ if (is.null(x) && is.null(y)) {
+ stop("Must supply `x` and/or `y` attributes", call. = FALSE)
+ }
+ # TODO: provide type checking in plotly_build for this trace type
+ add_trace_classed(
+ p, class = "plotly_histogram", x = x, y = y, type = "histogram", ...
+ )
+}
+
+
+#' @inheritParams add_trace
+#' @rdname add_trace
+#' @export
+#' @examples
+#' plot_ly(x = ~LETTERS, y = ~LETTERS) %>% add_histogram2d()
+#' z <- as.matrix(table(LETTERS, LETTERS))
+#' plot_ly(x = ~LETTERS, y = ~LETTERS, z = ~z) %>% add_histogram2d()
+add_histogram2d <- function(p, x = NULL, y = NULL, z = NULL, ...) {
+ x <- x %||% p$x$attrs[[1]][["x"]]
+ y <- y %||% p$x$attrs[[1]][["y"]]
+ z <- z %||% p$x$attrs[[1]][["z"]]
+ if (is.null(z)) {
+ if (is.null(x) || is.null(y)) {
+ stop("Must supply both `x` and `y` attributes if `z` is NULL", call. = FALSE)
+ }
+ }
+ # TODO: provide type checking in plotly_build for this trace type
+ add_trace_classed(
+ p, class = "plotly_histogram2d", x = x, y = y, z = z,
+ type = "histogram2d", ...
+ )
+}
+
+#' @inheritParams add_trace
+#' @rdname add_trace
+#' @export
+#' @examples
+#' plot_ly(MASS::geyser, x = ~waiting, y = ~duration) %>%
+#' add_histogram2dcontour()
+add_histogram2dcontour <- function(p, x = NULL, y = NULL, z = NULL, ...) {
+ x <- x %||% p$x$attrs[[1]][["x"]]
+ y <- y %||% p$x$attrs[[1]][["y"]]
+ z <- z %||% p$x$attrs[[1]][["z"]]
+ if (is.null(z)) {
+ if (is.null(x) || is.null(y)) {
+ stop("Must supply both `x` and `y` attributes if `z` is NULL", call. = FALSE)
+ }
+ }
+ # TODO: provide type checking in plotly_build for this trace type
+ add_trace_classed(
+ p, class = "plotly_histogram2dcontour", x = x, y = y, z = z,
+ type = "histogram2dcontour", ...
+ )
+}
+
+
+
+#' @inheritParams add_trace
+#' @rdname add_trace
+#' @export
+#' @examples
+#' plot_ly(z = ~volcano) %>% add_heatmap()
+add_heatmap <- function(p, z = NULL, ...) {
+ if (is.null(z <- z %||% p$x$attrs[[1]][["z"]])) {
+ stop("Must supply `z` attribute", call. = FALSE)
+ }
+ add_trace_classed(
+ p, class = "plotly_heatmap", z = z,
+ type = "heatmap", ...
+ )
+}
+
+#' @inheritParams add_trace
+#' @rdname add_trace
+#' @export
+#' @examples
+#' plot_ly(z = ~volcano) %>% add_contour()
+add_contour <- function(p, z = NULL, ...) {
+ if (is.null(z <- z %||% p$x$attrs[[1]][["z"]])) {
+ stop("Must supply `z` attribute", call. = FALSE)
+ }
+ add_trace_classed(
+ p, class = "plotly_contour", z = z,
+ type = "contour", ...
+ )
+}
+
+
+#' @inheritParams add_trace
+#' @rdname add_trace
+#' @export
+#' @examples
+#' plot_ly(mtcars, x = ~factor(vs), y = ~mpg) %>% add_boxplot()
+add_boxplot <- function(p, x = NULL, y = NULL, ...) {
+ x <- x %||% p$x$attrs[[1]][["x"]]
+ y <- y %||% p$x$attrs[[1]][["y"]]
+ if (is.null(x) && is.null(y)) {
+ stop("Must supply either `x` or `y` attribute", call. = FALSE)
+ }
+ add_trace_classed(
+ p, class = "plotly_boxplot", x = x, y = y, type = "box", ...
+ )
+}
+
+
+#' @inheritParams add_trace
+#' @rdname add_trace
+#' @export
+#' @examples
+#' plot_ly(z = ~volcano) %>% add_surface()
+add_surface <- function(p, z = NULL, ...) {
+ if (is.null(z <- z %||% p$x$attrs[[1]][["z"]])) {
+ stop("Must supply `z` attribute", call. = FALSE)
+ }
+ add_trace_classed(
+ p, class = "plotly_surface", z = z, type = "surface", ...
+ )
+}
+
+
+#' @inheritParams add_trace
+#' @rdname add_trace
+#' @export
+#' @examples
+#' plot_ly() %>% add_scattergeo()
+add_scattergeo <- function(p, geo = "geo", ...) {
+ add_trace_classed(
+ p, class = "plotly_scattergeo", type = "scattergeo", geo = geo, ...
+ )
+}
+
+
+#' @inheritParams add_trace
+#' @rdname add_trace
+#' @export
+#' @examples
+#' density <- state.x77[, "Population"] / state.x77[, "Area"]
+#' plot_ly(z = ~density) %>%
+#' add_choropleth(locations = state.abb, locationmode = 'USA-states') %>%
+#' layout(geo = list(scope = "usa"))
+add_choropleth <- function(p, z = NULL, ...) {
+ if (is.null(z <- z %||% p$x$attrs[[1]][["z"]])) {
+ stop("Must supply `z` attribute", call. = FALSE)
+ }
+ add_trace_classed(
+ p, class = "plotly_choropleth", type = "choropleth", ...
+ )
+}
+
+# attach a class to a trace which informs data processing in plotly_build
+add_trace_classed <- function(p, class = "plotly_polygon", ...) {
+ p <- add_trace(p, ...)
+ nAttrs <- length(p$x$attrs)
+ p$x$attrs[[nAttrs]] <- prefix_class(p$x$attrs[[nAttrs]], class)
+ p
+}
+
+
+# #'
+# #'
+# #' @export
+# #' @examples
+# #'
+# #' x <- rnorm(10)
+# #' plot_ly(x = ~x) %>%
+# #' add_chull()
+# add_chull <- function(p, ...) {
+# stop("not yet implemented")
+# ch <- chull(x, y = NULL)
+# # TODO: Should mode='markers+lines'? If so, retrace first points?
+# add_polygons(...)
+# }
+
+
+## ------------------------------------------------------------------------
+## Non-trace addition
+## ------------------------------------------------------------------------
+#
+##' @export
+#add_transform <- function(p, ...) {
+# stop("not yet implemented")
+#}
+#
+#
+##' @export
+#add_shape <- function(p, ...) {
+# stop("not yet implemented")
+#}
+#
+##' @export
+#add_annotation <- function(p, ...) {
+# stop("not yet implemented")
+#}
+
+
diff --git a/R/deprecated.R b/R/deprecated.R
index fb42000b79..ca76472a0a 100644
--- a/R/deprecated.R
+++ b/R/deprecated.R
@@ -47,3 +47,22 @@ offline <- function(p, height, width, out_dir, open_browser) {
.Deprecated("plot_ly")
p
}
+
+
+#' Convert a plotly object to an htmlwidget object
+#'
+#' This function was deprecated in 4.0.0,
+#' as plotly objects are now htmlwidget objects,
+#' so there is no need to convert them.
+#'
+#' @param x a plotly object.
+#' @param ... other options passed onto \code{htmlwidgets::createWidget}
+#' @export
+
+as.widget <- function(x, ...) {
+ .Deprecated("plot_ly")
+ x
+}
+
+# for legacy reasons
+toWidget <- as.widget
diff --git a/R/dev.R b/R/dev.R
new file mode 100644
index 0000000000..c940f6b2e8
--- /dev/null
+++ b/R/dev.R
@@ -0,0 +1,39 @@
+#' Inspect JSON sent to plotly.js
+#'
+#' This function is useful for obtaining/viewing/debugging JSON
+#' sent to plotly.js.
+#'
+#' @param p a plotly or ggplot object.
+#' @param jsonedit use \code{listviewer::jsonedit} to view the JSON?
+#' @param ... other options passed onto \code{listviewer::jsonedit}
+#' @export
+#' @examples
+#'
+#' plotly_json(plot_ly())
+#' plotly_json(plot_ly(), FALSE)
+
+plotly_json <- function(p = plot_ly(), jsonedit = interactive(), ...) {
+ plotlyJSON <- to_JSON(plotly_build(p)$x, pretty = TRUE)
+ if (jsonedit) {
+ if (system.file(package = "listviewer") == "") {
+ stop("This function requires the listviewer package:\n",
+ "install.packages('listviewer')", call. = FALSE)
+ }
+ listviewer::jsonedit(plotlyJSON, mode = "form", ...)
+ } else {
+ plotlyJSON
+ }
+}
+
+#' Display plotly's plot schema
+#'
+#' The schema contains valid attributes names, their value type,
+#' default values (if any), and min/max values (if applicable).
+#'
+#' @export
+#' @examples
+#' schema()
+
+schema <- function() {
+ listviewer::jsonedit(Schema, mode = "form")
+}
diff --git a/R/export.R b/R/export.R
new file mode 100644
index 0000000000..300976d71b
--- /dev/null
+++ b/R/export.R
@@ -0,0 +1,32 @@
+#' Export a plotly graph to a static file
+#'
+#' @param p a plotly or ggplot object.
+#' @param file a filename. See the file argument of \code{webshot::webshot}
+#' for valid extensions.
+#' @param ... arguments passed onto \code{webshot::webshot}
+#' @export
+#' @examples \dontrun{
+#' export(plot_ly(economics, x = ~date, y = ~pce))
+#' }
+export <- function(p, file = "plotly.png", ...) {
+ if (system.file(package = "webshot") == "") {
+ stop(
+ 'Please install the webshot package ',
+ '(if not on CRAN, try devtools::install_github("wch/webshot"))'
+ )
+ }
+ f <- basename(tempfile('plotly', '.', '.html'))
+ on.exit(unlink(f), add = TRUE)
+ html <- htmlwidgets::saveWidget(p, f)
+ webshot::webshot(f, file, ...)
+}
+
+
+#library(htmlwidgets)
+#plot_ly(economics, x = ~date, y = ~uempmed) %>%
+# onRender(
+# "function(el, x) {
+# var gd = document.getElementById(el.id);
+# Plotly.downloadImage(gd, {format: 'jpeg', height: 300, width: 300, filename: 'plotly_download'})
+# }"
+# )
diff --git a/R/figure.R b/R/figure.R
index 6b3edf346b..bfa8711421 100644
--- a/R/figure.R
+++ b/R/figure.R
@@ -20,5 +20,5 @@ get_figure <- function(username, id) {
if (missing(id)) stop("Please provide a figure id number")
base_url <- file.path(get_domain(), "apigetfile", username, id)
resp <- httr::GET(base_url, plotly_headers(), httr::config(ssl_verifypeer=FALSE))
- process(append_class(resp, "figure"))
+ process(append_class(resp, "plotly_figure"))
}
diff --git a/R/ggplotly.R b/R/ggplotly.R
index 378ab67c9a..df22cca590 100644
--- a/R/ggplotly.R
+++ b/R/ggplotly.R
@@ -66,14 +66,14 @@ ggplotly.ggmatrix <- function(p = ggplot2::last_plot(), width = NULL,
if (nchar(p$title) > 0) {
s <- layout(s, title = p$title)
}
- hash_plot(p$data, plotly_build(s))
+ s
}
#' @export
ggplotly.ggplot <- function(p = ggplot2::last_plot(), width = NULL,
height = NULL, tooltip = "all", source = "A", ...) {
- l <- gg2list(p, width = width, height = height, tooltip = tooltip, source = source)
- hash_plot(p$data, l)
+ l <- gg2list(p, width = width, height = height, tooltip = tooltip, source = source, ...)
+ as_widget(l)
}
#' Convert a ggplot to a list.
@@ -258,7 +258,7 @@ gg2list <- function(p, width = NULL, height = NULL, tooltip = "all", source = "A
varName <- y[[i]]
# by default assume the values don't need any formatting
forMat <- function(x) if (is.numeric(x)) round(x, 2) else x
- if (aesName %in% c("x", "y")) {
+ if (isTRUE(aesName %in% c("x", "y"))) {
scaleName <- scales$get_scales(aesName)$scale_name
# convert "milliseconds from the UNIX epoch" to a date/datetime
# http://stackoverflow.com/questions/13456241/convert-unix-epoch-to-date-object-in-r
@@ -668,7 +668,7 @@ gg2list <- function(p, width = NULL, height = NULL, tooltip = "all", source = "A
idx <- which(hashes %in% i)
# for now we just merge markers and lines -- I can't imagine text being worthwhile
if (all(modes[idx] %in% c("lines", "markers"))) {
- mergedTraces[[i]] <- Reduce(modifyList, traces[idx])
+ mergedTraces[[i]] <- Reduce(modify_list, traces[idx])
mergedTraces[[i]]$mode <- "markers+lines"
if (any(sapply(traces[idx], "[[", "showlegend"))) {
mergedTraces[[i]]$showlegend <- TRUE
@@ -686,14 +686,21 @@ gg2list <- function(p, width = NULL, height = NULL, tooltip = "all", source = "A
}
# If a trace isn't named, it shouldn't have additional hoverinfo
traces <- lapply(compact(traces), function(x) { x$name <- x$name %||% ""; x })
-
- l <- list(data = setNames(traces, NULL), layout = compact(gglayout))
+
+ gglayout$width <- width
+ gglayout$height <- height
+
+ id <- new_id()
+ l <- list(
+ visdat = setNames(list(function() data[[length(data)]]), id),
+ attrs = list(),
+ cur_data = id,
+ data = setNames(traces, NULL),
+ layout = compact(gglayout),
+ source = source
+ )
# ensure properties are boxed correctly
- l <- add_boxed(rm_asis(l))
- l$width <- width
- l$height <- height
- l$source <- source
- structure(l, class = "plotly_built")
+ rm_asis(l)
}
@@ -839,9 +846,11 @@ faced <- function(txt, face = "plain") {
bold <- function(x) paste("", x, "")
italic <- function(x) paste("", x, "")
-# if a vector has one unique value, return that value
+# if a vector that has one unique value (ignoring missings), return that value
uniq <- function(x) {
u <- unique(x)
+ if (identical(u, NA) || length(u) == 0) return(u)
+ u <- u[!is.na(u)]
if (length(u) == 1) u else x
}
@@ -895,7 +904,9 @@ rect2shape <- function(rekt = ggplot2::element_rect()) {
# We need access to internal ggplot2 functions in several places
# this helps us import functions in a way that R CMD check won't cry about
-ggfun <- function(x) getFromNamespace(x, "ggplot2")
+ggfun <- function(x) {
+ tryCatch(getFromNamespace(x, "ggplot2"), error = function(e) NULL)
+}
ggtype <- function(x, y = "geom") {
sub(y, "", tolower(class(x[[y]])[1]))
diff --git a/R/group2NA.R b/R/group2NA.R
new file mode 100644
index 0000000000..f49efc9510
--- /dev/null
+++ b/R/group2NA.R
@@ -0,0 +1,74 @@
+
+# Insert missing values to create trace groupings
+#
+# If a group of traces share the same non-positional characteristics (i.e.,
+# color, fill, etc), it is more efficient to draw them as a single trace
+# with missing values that separate the groups (instead of multiple traces).
+# This is a helper function for inserting missing values into a data set
+#
+# @param data a data frame.
+# @param groupNames name(s) of the grouping variable(s) as a character vector
+# @param nested other variables that group should be nested
+# (i.e., ordered) within.
+# @param ordered a variable to arrange by (within nested & groupNames). This
+# is useful primarily for ordering by x
+# @param retrace.first should the first row of each group be appended to the
+# last row? This is useful for enclosing polygons with lines.
+# @examples
+#
+# group2NA(mtcars, "vs", "cyl")
+#
+# elong <- tidyr::gather(economics, variable, value, -date)
+# plot_ly(group2NA(elong, "variable"), x = ~date, y = ~value)
+#
+
+group2NA <- function(data, groupNames = "group", nested = NULL, ordered = NULL,
+ retrace.first = inherits(data, "GeomPolygon")) {
+ if (NROW(data) == 0) return(data)
+ # a few workarounds since dplyr clobbers classes that we rely on in ggplotly
+ retrace <- force(retrace.first)
+ datClass <- class(data)
+
+ # sanitize variable names
+ groupNames <- groupNames[groupNames %in% names(data)]
+ nested <- nested[nested %in% names(data)]
+ ordered <- ordered[ordered %in% names(data)]
+ # ignore any already existing groups
+ data <- dplyr::ungroup(data)
+
+ # if group doesn't exist, just arrange before returning
+ if (!length(groupNames)) {
+ if (length(ordered)) {
+ data <- dplyr::arrange_(data, c(nested, ordered))
+ }
+ return(data)
+ }
+ allVars <- c(nested, groupNames, ordered)
+ for (i in allVars) {
+ data <- dplyr::group_by_(data, i, add = TRUE)
+ }
+ # first, arrange everything
+ data <- dplyr::do(data, dplyr::arrange_(., allVars))
+ data <- dplyr::ungroup(data)
+ for (i in c(nested, groupNames)) {
+ data <- dplyr::group_by_(data, i, add = TRUE)
+ }
+ d <- if (retrace.first) {
+ dplyr::do(data, rbind(., .[1,], NA))
+ } else {
+ dplyr::do(data, rbind(., NA))
+ }
+ # TODO: how to drop the NAs separating the nested values? Does it even matter?
+ # d <- dplyr::ungroup(d)
+ # for (i in nested) {
+ # d <- dplyr::group_by_(dplyr::ungroup(d), i, add = TRUE)
+ # }
+ # d <- dplyr::do(d, .[seq_len(NROW(.)),])
+ n <- NROW(d)
+ if (all(is.na(d[n, ]))) d <- d[-n, ]
+ structure(d, class = datClass)
+}
+
+
+# to appease R CMD check (currently we reference '.' in group2NA)
+utils::globalVariables(".")
diff --git a/R/helpers.R b/R/helpers.R
new file mode 100644
index 0000000000..68d1c1d070
--- /dev/null
+++ b/R/helpers.R
@@ -0,0 +1,57 @@
+#' Hide a color bar
+#'
+#' @param p a plotly object.
+#' @export
+#' @examples
+#'
+#' plot_ly(economics, x = ~date, y = ~unemploy / pop, color = ~pop) %>%
+#' add_markers() %>%
+#' hide_colorbar()
+hide_colorbar <- function(p) {
+ p <- plotly_build(p)
+ for (i in seq_along(p$x$data)) {
+ trace <- p$x$data[[i]]
+ if (has_attr(trace$type, "showscale")) {
+ p$x$data[[i]]$showscale <- FALSE
+ }
+ if (has_attr(trace$type, "marker")) {
+ p$x$data[[i]]$marker$showscale <- FALSE
+ }
+ }
+ p
+}
+
+#' Convert trace types to WebGL
+#'
+#' @param p a plotly or ggplot object.
+#' @export
+#' @examples
+#'
+#' # currently no bargl trace type
+#' toWebGL(qplot(1:10))
+#' toWebGL(qplot(1:10, 1:10))
+#'
+toWebGL <- function(p) {
+ if (ggplot2::is.ggplot(p)) {
+ p <- plotly_build(p)
+ }
+ p$x$.plotlyWebGl <- TRUE
+ p
+}
+
+
+#' Create a complete empty plotly graph.
+#'
+#' Useful when used with \link{subplot}
+#'
+#' @export
+plotly_empty <- function(...) {
+ eaxis <- list(
+ showticklabels = FALSE,
+ showgrid = FALSE,
+ zeroline = FALSE
+ )
+ layout(plot_ly(...), xaxis = eaxis, yaxis = eaxis)
+}
+
+
diff --git a/R/imports.R b/R/imports.R
index f8a474f579..55981b9ec6 100644
--- a/R/imports.R
+++ b/R/imports.R
@@ -1,10 +1,232 @@
#' @import ggplot2
#' @importFrom grDevices col2rgb
+#' @importFrom graphics layout
#' @importFrom utils getFromNamespace modifyList data packageVersion browseURL
-#' @importFrom stats setNames complete.cases
-#' @importFrom tidyr gather
-#' @importFrom viridis viridis
+#' @importFrom stats setNames complete.cases quantile
+#' @importFrom tidyr gather gather_ unnest
+#' @importFrom viridisLite viridis
#' @importFrom jsonlite toJSON fromJSON
#' @importFrom httr GET POST PATCH content config add_headers stop_for_status
-#' @importFrom htmlwidgets createWidget sizingPolicy
+#' @importFrom htmlwidgets createWidget sizingPolicy saveWidget
+#' @importFrom lazyeval f_eval is_formula all_dots is_lang
+NULL
+
+# ------------------------------------------------------------------
+# Import dplyr generics and re-export them
+# ------------------------------------------------------------------
+
+#' Add new variables.
+#'
+#' See \link[dplyr]{mutate}.
+#'
+#' @importFrom dplyr mutate
+#' @name mutate
+#' @export
+NULL
+
+#' Add new variables.
+#'
+#' See \link[dplyr]{mutate_}.
+#'
+#' @importFrom dplyr mutate_
+#' @name mutate_
+#' @export
+NULL
+
+#' Add new variables.
+#'
+#' See \link[dplyr]{transmute}.
+#'
+#' @importFrom dplyr transmute
+#' @name transmute
+#' @export
+NULL
+
+#' Add new variables.
+#'
+#' See \link[dplyr]{transmute_}.
+#'
+#' @importFrom dplyr transmute_
+#' @name transmute_
+#' @export
+NULL
+
+#' Select/rename variables by name.
+#'
+#' See \link[dplyr]{select}.
+#'
+#' @importFrom dplyr select
+#' @name select
+#' @export
+NULL
+
+#' Select/rename variables by name.
+#'
+#' See \link[dplyr]{select_}.
+#'
+#' @importFrom dplyr select_
+#' @name select_
+#' @export
+NULL
+
+#' Select/rename variables by name.
+#'
+#' See \link[dplyr]{rename}.
+#'
+#' @importFrom dplyr rename
+#' @name rename
+#' @export
+NULL
+
+#' Select/rename variables by name.
+#'
+#' See \link[dplyr]{rename_}.
+#'
+#' @importFrom dplyr rename_
+#' @name rename_
+#' @export
+NULL
+
+#' Group a tbl by one or more variables.
+#'
+#' See \link[dplyr]{group_by}.
+#'
+#' @importFrom dplyr group_by
+#' @name group_by
+#' @export
+NULL
+
+#' Group a tbl by one or more variables.
+#'
+#' See \link[dplyr]{group_by}.
+#'
+#' @importFrom dplyr group_by_
+#' @name group_by_
+#' @export
+NULL
+
+#' Get/set the grouping variables for tbl.
+#'
+#' See \link[dplyr]{groups}.
+#'
+#' @importFrom dplyr groups
+#' @name groups
+#' @export
+NULL
+
+#' Get/set the grouping variables for tbl.
+#'
+#' See \link[dplyr]{ungroup}.
+#'
+#' @importFrom dplyr ungroup
+#' @name ungroup
+#' @export
+NULL
+
+#' Summarise multiple values to a single value.
+#'
+#' See \link[dplyr]{summarise}.
+#'
+#' @importFrom dplyr summarise
+#' @name summarise
+#' @export
+NULL
+
+#' Summarise multiple values to a single value.
+#'
+#' See \link[dplyr]{summarise_}.
+#'
+#' @importFrom dplyr summarise_
+#' @name summarise_
+#' @export
+NULL
+
+#' Do arbitrary operations on a tbl.
+#'
+#' See \link[dplyr]{do}.
+#'
+#' @importFrom dplyr do
+#' @name do
+#' @export
+NULL
+
+#' Do arbitrary operations on a tbl.
+#'
+#' See \link[dplyr]{do_}.
+#'
+#' @importFrom dplyr do_
+#' @name do_
+#' @export
+NULL
+
+#' Arrange rows by variables.
+#'
+#' See \link[dplyr]{arrange}.
+#'
+#' @importFrom dplyr arrange
+#' @name arrange
+#' @export
+NULL
+
+#' Arrange rows by variables.
+#'
+#' See \link[dplyr]{arrange_}.
+#'
+#' @importFrom dplyr arrange_
+#' @name arrange_
+#' @export
+NULL
+
+#' Select distinct/unique rows.
+#'
+#' See \link[dplyr]{distinct}.
+#'
+#' @importFrom dplyr distinct
+#' @name distinct
+#' @export
+NULL
+
+#' Select distinct/unique rows.
+#'
+#' See \link[dplyr]{distinct_}.
+#'
+#' @importFrom dplyr distinct_
+#' @name distinct_
+#' @export
+NULL
+
+#' Select rows by position.
+#'
+#' See \link[dplyr]{slice}.
+#'
+#' @importFrom dplyr slice
+#' @name slice
+#' @export
+NULL
+
+#' Select rows by position.
+#'
+#' See \link[dplyr]{slice_}.
+#'
+#' @importFrom dplyr slice_
+#' @name slice_
+#' @export
+NULL
+
+#' Return rows with matching conditions.
+#'
+#' See \link[dplyr]{filter}.
+#'
+#' @importFrom dplyr filter
+#' @name filter
+#' @export
+NULL
+
+#' Return rows with matching conditions.
+#'
+#' See \link[dplyr]{filter_asw}.
+#'
+#' @importFrom dplyr filter_
+#' @name filter_
+#' @export
NULL
diff --git a/R/layers2traces.R b/R/layers2traces.R
index ff7890c0b2..a7a00f2967 100644
--- a/R/layers2traces.R
+++ b/R/layers2traces.R
@@ -193,7 +193,7 @@ to_basic.GeomSegment <- function(data, prestats_data, layout, params, p, ...) {
#' @export
to_basic.GeomRect <- function(data, prestats_data, layout, params, p, ...) {
data$group <- seq_len(nrow(data))
- others <- data[!names(data) %in% c("xmin", "ymin", "xmax", "ymax")]
+ others <- data[!names(data) %in% c("xmin", "ymin", "xmax", "ymax", "y", "x")]
data <- with(data, {
rbind(cbind(x = xmin, y = ymin, others),
cbind(x = xmin, y = ymax, others),
@@ -461,7 +461,6 @@ geom2trace.GeomPolygon <- function(data, params, p) {
type = "scatter",
mode = "lines",
line = list(
- # NOTE: line attributes must be constant on a polygon
width = aes2plotly(data, params, "size"),
color = toRGB(
aes2plotly(data, params, "colour"),
@@ -469,7 +468,7 @@ geom2trace.GeomPolygon <- function(data, params, p) {
),
dash = aes2plotly(data, params, "linetype")
),
- fill = "tozerox",
+ fill = "toself",
fillcolor = toRGB(
aes2plotly(data, params, "fill"),
aes2plotly(data, params, "alpha")
@@ -585,49 +584,6 @@ geom2trace.default <- function(data, params, p) {
# Utility functions
# --------------------------------------------------------------------------
-# Drawing ggplot2 geoms with a group aesthetic is most efficient in
-# plotly when we convert groups of things that look the same to
-# vectors with NA.
-group2NA <- function(data) {
- if (!"group" %in% names(data)) return(data)
- poly.list <- split(data, data$group, drop = TRUE)
- is.group <- names(data) == "group"
- poly.na.list <- list()
- forward.i <- seq_along(poly.list)
- ## When group2NA is called on geom_polygon (or geom_rect, which is
- ## treated as a basic polygon), we need to retrace the first points
- ## of each group, see https://github.com/ropensci/plotly/pull/178
- retrace.first.points <- inherits(data, "GeomPolygon")
- for (i in forward.i) {
- no.group <- poly.list[[i]][, !is.group, drop = FALSE]
- na.row <- no.group[1, ]
- na.row[, c("x", "y")] <- NA
- retrace.first <- if (retrace.first.points) {
- no.group[1,]
- }
- poly.na.list[[paste(i, "forward")]] <-
- rbind(no.group, retrace.first, na.row)
- }
- if (retrace.first.points) {
- backward.i <- rev(forward.i[-1])[-1]
- for (i in backward.i) {
- no.group <- poly.list[[i]][1, !is.group, drop = FALSE]
- na.row <- no.group[1, ]
- na.row[, c("x", "y")] <- NA
- poly.na.list[[paste(i, "backward")]] <- rbind(no.group, na.row)
- }
- if (length(poly.list) > 1) {
- first.group <- poly.list[[1]][1, !is.group, drop = FALSE]
- poly.na.list[["last"]] <- rbind(first.group, first.group)
- }
- }
- data <- do.call(rbind, poly.na.list)
- if (is.na(data$x[nrow(data)])) {
- data <- data[-nrow(data), ]
- }
- data
-}
-
# given a geom, should we split on any continuous variables?
# this is necessary for some geoms, for example, polygons
# since plotly.js can't draw two polygons with different fill in a single trace
@@ -683,17 +639,17 @@ ribbon_dat <- function(dat) {
n <- nrow(dat)
o <- order(dat$x)
o2 <- order(dat$x, decreasing = TRUE)
- used <- c("x", "ymin", "ymax")
+ used <- c("x", "ymin", "ymax", "y")
not_used <- setdiff(names(dat), used)
# top-half of ribbon
tmp <- dat[o, ]
others <- tmp[not_used]
- dat1 <- cbind(x = tmp$x, y = tmp$ymax, others)
- dat1[n+1, ] <- cbind(x = tmp$x[n], y = tmp$ymin[n], others[n, ])
+ dat1 <- cbind(x = tmp$x, y = tmp$ymin, others)
+ dat1[n+1, ] <- data.frame(x = tmp$x[n], y = tmp$ymin[n], others[n, ])
# bottom-half of ribbon
tmp2 <- dat[o2, ]
others2 <- tmp2[not_used]
- dat2 <- cbind(x = tmp2$x, y = tmp2$ymin, others2)
+ dat2 <- cbind(x = tmp2$x, y = tmp2$ymax, others2)
rbind(dat1, dat2)
}
@@ -767,7 +723,12 @@ pch2symbol <- function(x) {
"O" = "circle-open",
"+" = "cross-thin-open"
)
- as.character(lookup[as.character(x)])
+ x <- as.character(x)
+ idx <- x %in% names(lookup)
+ if (any(idx)) {
+ x[idx] <- lookup[x[idx]]
+ }
+ as.character(x)
}
# Convert R lty line type codes to plotly "dash" codes.
@@ -800,5 +761,10 @@ lty2dash <- function(x) {
"224282F2" = "dash",
"F1" = "dash"
)
- as.character(lookup[as.character(x)])
+ x <- as.character(x)
+ idx <- x %in% names(lookup)
+ if (any(idx)) {
+ x[idx] <- lookup[x[idx]]
+ }
+ as.character(x)
}
diff --git a/R/layout.R b/R/layout.R
new file mode 100644
index 0000000000..6bd47bd550
--- /dev/null
+++ b/R/layout.R
@@ -0,0 +1,47 @@
+#' Modify the layout of a plotly visualization
+#'
+#' @param p A plotly object.
+#' @param ... Arguments to the layout object. For documentation,
+#' see \url{https://plot.ly/r/reference/#Layout_and_layout_style_objects}
+#' @param data A data frame to associate with this layout (optional). If not
+#' provided, arguments are evaluated using the data frame in \code{\link{plot_ly}()}.
+#' @author Carson Sievert
+#' @export
+layout <- function(p, ..., data = NULL) {
+ UseMethod("layout")
+}
+
+#' @export
+layout.matrix <- function(p, ..., data = NULL) {
+ # workaround for the popular graphics::layout() function
+ # https://github.com/ropensci/plotly/issues/464
+ graphics::layout(p, ...)
+}
+
+#' @export
+layout.plotly <- function(p, ..., data = NULL) {
+ p <- add_data(p, data)
+ attrs <- list(...)
+ # similar to add_trace()
+ p$x$layoutAttrs <- c(
+ p$x$layoutAttrs %||% list(),
+ setNames(list(attrs), p$x$cur_data)
+ )
+ p
+}
+
+#' Set the default configuration for plotly
+#'
+#' @param p a plotly object
+#' @param ... these arguments are documented at
+#' \url{https://github.com/plotly/plotly.js/blob/master/src/plot_api/plot_config.js}
+#' @author Carson Sievert
+#' @export
+#' @examples \dontrun{
+#' config(plot_ly(), displaylogo = FALSE, modeBarButtonsToRemove = list('sendDataToCloud'))
+#' }
+
+config <- function(p, ...) {
+ p$x$config <- modify_list(p$x$config, list(...))
+ p
+}
diff --git a/R/plotly.R b/R/plotly.R
index 46a275315c..7de4c32198 100644
--- a/R/plotly.R
+++ b/R/plotly.R
@@ -8,477 +8,159 @@
#' @param data A data frame (optional).
#' @param ... These arguments are documented at \url{https://plot.ly/r/reference/}
#' Note that acceptable arguments depend on the value of \code{type}.
-#' @param type A character string describing the type of trace.
-#' @param group Either a variable name or a vector to use for grouping. If used,
-#' a different trace will be created for each unique value.
-#' @param color Either a variable name or a vector to use for color mapping.
+#' @param type A character string describing the type of trace. If \code{NULL}
+#' (the default), the initial trace type is determined by \code{add_trace}
+#' @param color A formula containing a name or expression.
+#' Values are scaled and mapped to color codes based on the value of
+#' \code{colors} and \code{alpha}. To avoid scaling, wrap with \code{\link{I}()},
+#' and provide value(s) that can be converted to rgb color codes by
+#' \code{\link[grDevices]{col2rgb}()}.
#' @param colors Either a colorbrewer2.org palette name (e.g. "YlOrRd" or "Blues"),
#' or a vector of colors to interpolate in hexadecimal "#RRGGBB" format,
#' or a color interpolation function like \code{colorRamp()}.
-#' @param symbol Either a variable name or a (discrete) vector to use for symbol encoding.
-#' @param symbols A character vector of symbol types. Possible values:
-#' 'dot', 'cross', 'diamond', 'square', 'triangle-down', 'triangle-left', 'triangle-right', 'triangle-up'
+#' @param alpha A number between 0 and 1 specifying the alpha channel applied to color.
+#' @param symbol A formula containing a name or expression.
+#' Values are scaled and mapped to symbols based on the value of \code{symbols}.
+#' To avoid scaling, wrap with \code{\link{I}()}, and provide valid
+#' \code{\link{pch}()} values and/or valid plotly symbol(s) as a string
+#' \url{}
+#' @param symbols A character vector of symbol types. For possible values, see \link{schema}.
+#' @param linetype Either a variable name or a (discrete) vector to use for linetype encoding.
+#' @param linetypes A character vector of line types. For possible values, see \link{schema}.
#' @param size A variable name or numeric vector to encode the size of markers.
+#' @param sizes A numeric vector of length 2 used to scale sizes to pixels.
#' @param width Width in pixels (optional, defaults to automatic sizing).
#' @param height Height in pixels (optional, defaults to automatic sizing).
-#' @param inherit logical. Should future traces inherit properties from this initial trace?
-#' @param evaluate logical. Evaluate arguments when this function is called?
#' @param source Only relevant for \link{event_data}.
#' @seealso \code{\link{layout}()}, \code{\link{add_trace}()}, \code{\link{style}()}
#' @author Carson Sievert
#' @export
#' @examples
#' \dontrun{
-#' data(economics, package = "ggplot2")
-#' # basic time-series plot
-#' p <- plot_ly(economics, x = date, y = uempmed, type = "scatter",
-#' showlegend = FALSE)
-#' # add a loess smoother
-#' p2 <- add_trace(p, y = fitted(loess(uempmed ~ as.numeric(date))))
-#' # add a title
-#' p3 <- layout(p2, title = "Median duration of unemployment (in weeks)")
-#' # change the font
-#' layout(p3, font = list(family = "Courier New, monospace"))
#'
-#' # using the color argument
-#' plot_ly(economics, x = date, y = unemploy / pop, color = pop, mode = "markers")
-#' plot_ly(economics, x = date, y = unemploy / pop, color = pop,
-#' colors = terrain.colors(5), mode = "markers")
-#'
-#' # function to extract the decade of a given date
-#' decade <- function(x) {
-#' factor(floor(as.numeric(format(x, "%Y")) / 10) * 10)
-#' }
-#' plot_ly(economics, x = unemploy / pop, color = decade(date), type = "box")
-#'
-#' # plotly loves pipelines
-#' economics %>%
-#' transform(rate = unemploy / pop) %>%
-#' plot_ly(x = date, y = rate) %>%
-#' loess(rate ~ as.numeric(date), data = .) %>%
-#' broom::augment() %>%
-#' add_trace(y = .fitted)
+#' # plot_ly() tries to create a sensible plot based on the information you
+#' # give it. If you don't provide a trace type, plot_ly() will infer one.
+#' plot_ly(economics, x = ~pop)
+#' plot_ly(economics, x = ~date, y = ~pop)
+#' # plot_ly() doesn't require data frame(s), which allows one to take
+#' # advantage of trace type(s) designed specifically for numeric matrices
+#' plot_ly(z = ~volcano)
+#' plot_ly(z = ~volcano, type = "surface")
+#'
+#' # plotly has a functional interface: every plotly function takes a plotly
+#' # object as it's first input argument and returns a modified plotly object
+#' add_lines(plot_ly(economics, x = ~date, y = ~unemploy/pop))
+#'
+#' # To make code more readable, plotly imports the pipe operator from magrittr
+#' economics %>% plot_ly(x = ~date, y = ~unemploy/pop) %>% add_lines()
+#'
+#' # Attributes defined via plot_ly() set 'global' attributes that
+#' # are carried onto subsequent traces
+#' plot_ly(economics, x = ~date, line = list(color = "black")) %>%
+#' add_trace(y = ~uempmed, mode = "markers+lines") %>%
+#' add_lines(y = ~psavert) %>%
+#' layout(title = "Setting global trace attributes")
+#'
+#' # Attributes are documented in the figure reference -> https://plot.ly/r/reference
+#' # You might notice plot_ly() has named arguments that aren't in the figure
+#' # reference. These arguments make it easier to map abstract data values to
+#' # visual attributes.
+#' p <- plot_ly(iris, x = ~Sepal.Width, y = ~Sepal.Length)
+#' add_markers(p, color = ~Petal.Length, size = ~Petal.Length)
+#' add_markers(p, color = ~Species)
+#' add_markers(p, color = ~Species, colors = "Set1")
+#' add_markers(p, symbol = ~Species)
+#' add_paths(p, linetype = ~Species)
#'
-#' # sometimes, a data frame isn't fit for the use case...
-#' # for 3D surface plots, a numeric matrix is more natural
-#' plot_ly(z = volcano, type = "surface")
#' }
#'
-plot_ly <- function(data = data.frame(), ..., type = "scatter",
- group, color, colors, symbol, symbols, size,
- width = NULL, height = NULL, inherit = FALSE,
- evaluate = FALSE, source = "A") {
+plot_ly <- function(data = data.frame(), ..., type = NULL, group,
+ color, colors = NULL, alpha = 1, symbol, symbols = NULL,
+ size, sizes = c(10, 100), linetype, linetypes = NULL,
+ width = NULL, height = NULL, source = "A") {
+ if (!is.data.frame(data)) {
+ stop("First argument, `data`, must be a data frame.", call. = FALSE)
+ }
# "native" plotly arguments
- argz <- substitute(list(...))
- # old arguments to this function that are no longer supported
- if (!is.null(argz$filename))
- warning("Ignoring filename. Use plotly_POST() if you want to post figures to plotly.")
- if (!is.null(argz$fileopt))
- warning("Ignoring fileopt. Use plotly_POST() if you want to post figures to plotly.")
- if (!is.null(argz$world_readable))
- warning("Ignoring world_readable. Use plotly_POST() if you want to post figures to plotly.")
+ attrs <- list(...)
+ # warn about old arguments that are no longer supported
+ for (i in c("filename", "fileopt", "world_readable")) {
+ if (is.null(attrs[[i]])) next
+ warning("Ignoring ", i, ". Use `plotly_POST()` if you want to post figures to plotly.")
+ attrs[[i]] <- NULL
+ }
+ if (!is.null(attrs[["group"]])) {
+ warning(
+ "The group argument has been deprecated. Use `group_by()` instead.\n",
+ "See `help('plotly-data')` for examples"
+ )
+ attrs[["group"]] <- NULL
+ }
+ if (!is.null(attrs[["inherit"]])) {
+ warning("The inherit argument has been deprecated.")
+ attrs[["inherit"]] <- NULL
+ }
+
# tack on "special" arguments
- if (!missing(group)) argz$group <- substitute(group)
- if (!missing(color)) argz$color <- substitute(color)
- if (!missing(colors)) argz$colors <- substitute(colors)
- if (!missing(symbol)) argz$symbol <- substitute(symbol)
- if (!missing(symbols)) argz$symbols <- substitute(symbols)
- if (!missing(size)) argz$size <- substitute(size)
- # trace information
- tr <- list(
- type = type,
- args = argz,
- env = list2env(data), # environment in which to evaluate arguments
- enclos = parent.frame(), # if objects aren't found in env, look here
- inherit = inherit
- )
- # plotly objects should always have a _list_ of trace(s)
+ attrs$color <- if (!missing(color)) color
+ attrs$symbol <- if (!missing(symbol)) symbol
+ attrs$linetype <- if (!missing(linetype)) linetype
+ attrs$size <- if (!missing(size)) size
+
+ attrs$colors <- colors
+ attrs$alpha <- alpha
+ attrs$symbols <- symbols
+ attrs$linetypes <- linetypes
+ attrs$sizes <- sizes
+ attrs$type <- type
+
+ # id for tracking attribute mappings and finding the most current data
+ id <- new_id()
+ # avoid weird naming clashes
+ plotlyVisDat <- data
p <- list(
- data = list(tr),
- layout = NULL,
- url = NULL,
- width = width,
- height = height,
+ visdat = setNames(list(function() plotlyVisDat), id),
+ cur_data = id,
+ attrs = setNames(list(attrs), id),
+ # we always deal with a _list_ of traces and _list_ of layouts
+ # since they can each have different data
+ layout = list(
+ width = width,
+ height = height,
+ # sane margin defaults (mainly for RStudio)
+ margin = list(b = 40, l = 60, t = 25, r = 10)
+ ),
+ config = list(modeBarButtonsToRemove = I("sendDataToCloud")),
+ base_url = get_domain(),
+ # TODO: make this trace specific when we merge with crosstalk branch
source = source
)
- if (evaluate) p <- plotly_build(p)
- hash_plot(data, p)
+ as_widget(p)
}
-#' Add a trace to a plotly visualization
-#'
-#' @param p A plotly object.
-#' @param ... These arguments are documented in the references section below.
-#' Note that acceptable arguments depend on the trace type.
-#' @param group Either a variable name or a vector to use for grouping. If used,
-#' a different trace will be created for each unique value.
-#' @param color Either a variable name or a vector to use for color mapping.
-#' @param colors Either a colorbrewer2.org palette name (e.g. "YlOrRd" or "Blues"),
-#' or a vector of colors to interpolate in hexadecimal "#RRGGBB" format,
-#' or a color interpolation function like \code{colorRamp}.
-#' @param symbol Either a variable name or a (discrete) vector to use for symbol encoding.
-#' @param symbols A character vector of symbol types. Possible values:
-#' 'dot', 'cross', 'diamond', 'square', 'triangle-down', 'triangle-left', 'triangle-right', 'triangle-up'
-#' @param size A variable name or numeric vector to encode the size of markers.
-#' @param data A data frame to associate with this trace (optional). If not
-#' provided, arguments are evaluated using the data frame in \code{\link{plot_ly}()}.
-#' @param evaluate logical. Evaluate arguments when this function is called?
-#' @seealso \code{\link{plot_ly}()}
-#' @references \url{https://plot.ly/r/reference/}
-#' @author Carson Sievert
-#' @export
-add_trace <- function(p = last_plot(), ...,
- group, color, colors, symbol, symbols, size,
- data = NULL, evaluate = FALSE) {
- # "native" plotly arguments
- argz <- substitute(list(...))
- # tack on "special" arguments
- if (!missing(group)) argz$group <- substitute(group)
- if (!missing(color)) argz$color <- substitute(color)
- if (!missing(colors)) argz$colors <- substitute(colors)
- if (!missing(symbol)) argz$symbol <- substitute(symbol)
- if (!missing(symbols)) argz$symbols <- substitute(symbols)
- if (!missing(size)) argz$size <- substitute(size)
- data <- data %||% if (is.data.frame(p)) p else list()
- tr <- list(
- args = argz,
- env = list2env(data),
- enclos = parent.frame()
- )
- p <- last_plot(p)
- p$data <- c(p$data, list(tr))
- if (evaluate) p <- plotly_build(p)
- hash_plot(data, p)
-}
-#' Add and/or modify layout of a plotly
-#'
-#' @param p A plotly object.
-#' @param ... Arguments to the layout object. For documentation,
-#' see \url{https://plot.ly/r/reference/#Layout_and_layout_style_objects}
-#' @param data A data frame to associate with this layout (optional). If not
-#' provided, arguments are evaluated using the data frame in \code{\link{plot_ly}()}.
-#' @param evaluate logical. Evaluate arguments when this function is called?
-#' @author Carson Sievert
-#' @export
-layout <- function(p = last_plot(), ...,
- data = NULL, evaluate = FALSE) {
- data <- data %||% if (is.data.frame(p)) p else list()
- layout <- list(
- args = substitute(list(...)),
- env = list2env(data),
- enclos = parent.frame()
- )
- p <- last_plot(p)
- p$layout <- c(p$layout, list(layout = layout))
- if (evaluate) p <- plotly_build(p)
- hash_plot(data, p)
-}
-
-#' Set the default configuration for plotly
-#'
-#' @param p a plotly object
-#' @param ... these arguments are documented at
-#' \url{https://github.com/plotly/plotly.js/blob/master/src/plot_api/plot_config.js}
-#' @author Carson Sievert
-#' @export
-#' @examples \dontrun{
-#' config(plot_ly(), displaylogo = FALSE, modeBarButtonsToRemove = list('sendDataToCloud'))
-#' }
-
-config <- function(p = last_plot(), ...) {
- conf <- list(...)
- p <- last_plot(p)
- p$config <- c(p$config, conf)
- hash_plot(if (is.data.frame(p)) p else list(), p)
-}
+# Convert a list to a plotly htmlwidget object
+#
+# @param x a plotly object.
+# @param ... other options passed onto \code{htmlwidgets::createWidget}
+#
-#' Modify trace(s)
-#'
-#' Modify trace(s) of an existing plotly visualization. Useful when used in
-#' conjunction with \code{\link{get_figure}()}.
-#'
-#' @param p A plotly visualization.
-#' @param ... Visual properties.
-#' @param traces numeric vector. Which traces should be modified?
-#' @param evaluate logical. Evaluate arguments when this function is called?
-#' @seealso \code{\link{get_figure}()}
-#' @author Carson Sievert
-#' @export
-style <- function(p = last_plot(), ..., traces = 1, evaluate = FALSE) {
- idx <- traces >= length(p$data)
- if (any(idx)) warning("You've referenced non-existent traces", call. = FALSE)
- style <- list(
- args = substitute(list(...)),
- # not optimal....
- env = p$data[[max(traces)]]$env,
- enclos = parent.frame(),
- traces = traces
- )
- p$style <- c(p$style, list(style))
- if (evaluate) p <- plotly_build(p)
- hash_plot(data, p)
-}
-
-#' Create a 'plotly_built' object
-#'
-#' This generic function creates the list object sent to plotly.js
-#' for rendering. Using this function can be useful for overriding defaults
-#' provided by \code{ggplotly}/\code{plot_ly} or for debugging rendering
-#' errors.
-#'
-#' @param l a ggplot object, or a plotly_hash object, or a list.
-#' @export
-#' @examples
-#'
-#' p <- plot_ly()
-#' # data frame
-#' str(p)
-#' # the actual list of options sent to plotly.js
-#' str(plotly_build(p))
-#'
-#' p <- qplot(data = mtcars, wt, mpg, geom = c("point", "smooth"))
-#' l <- plotly_build(p)
-#' # turn off hoverinfo for the smooth (but keep it for the points)
-#' l$data[[2]]$hoverinfo <- "none"
-#' l$data[[3]]$hoverinfo <- "none"
-#' l
-#'
-plotly_build <- function(l = last_plot()) {
- UseMethod("plotly_build")
-}
-
-#' @export
-plotly_build.default <- function(l = last_plot()) {
- l
-}
-
-#' @export
-plotly_build.plotly_built <- function(l = last_plot()) {
- l
-}
-
-#' @export
-plotly_build.plotly_subplot <- function(l = last_plot()) {
- prefix_class(get_plot(l), "plotly_built")
-}
-
-#' @export
-plotly_build.gg <- function(l = last_plot()) {
- prefix_class(get_plot(ggplotly(l)), "plotly_built")
-}
-
-#' @export
-plotly_build.plotly_hash <- function(l = last_plot()) {
- l <- get_plot(l)
- # assume unnamed list elements are data/traces
- nms <- names(l)
- idx <- nms %in% ""
- l <- if (is.null(nms)) {
- list(data = l)
- } else if (any(idx)) {
- c(data = c(l$data, l[idx]), l[!idx])
- } else l
- # carry over properties, if necessary (but don't carry over evaluation envir)
- if (length(l$data) > 1 && isTRUE(l$data[[1]]$inherit)) {
- d <- l$data[[1]]
- d <- d[!names(d) %in% c("env", "enclos")]
- for (i in seq.int(2, length(l$data))) {
- l$data[[i]] <- modifyList(l$data[[i]], d)
- }
- }
- # 'x' is the same as 'l', but with arguments evaluated
- # this is ugly, but I think it is necessary, since we don't know how many
- # traces we have until we evaluate args and call traceify() (or similar)
- x <- list()
- for (i in seq_along(l$data)) {
- d <- l$data[[i]]
- if (should_eval(d)) {
- dat <- do_eval(d)
- # start processing specially named arguments
- s <- dat[["size"]]
- if (!is.null(s)) {
- if (!is.numeric(s)) warning("size should be numeric", call. = FALSE)
- # if autosizing is used, guess that the plot is 300 by 600
- auto <- dat[["layout"]][["autosize"]] %||% TRUE
- hw <- if (auto) c(300, 600)
- else c(dat[["layout"]][["height"]], dat[["layout"]][["width"]])
- # ensure that markers cover 30% of the plot area
- m <- list(
- size = 0.3 * prod(hw) * (s/sum(s)),
- sizemode = "area"
- )
- # the marker object is the only type of object which respects size
- dat[["marker"]] <- modifyList(dat[["marker"]] %||% list(), m)
- # either add some appropriate hover text
- txt <- paste0(as.list(d$args)[["size"]], " (size): ", s)
- dat[["text"]] <- if (is.null(dat[["text"]])) txt else paste0(dat[["text"]], "
", txt)
- }
- has_color <- !is.null(dat[["color"]]) ||
- isTRUE(!is.null(dat[["z"]]) && !dat[["type"]] %in% "scatter3d")
- has_symbol <- !is.null(dat[["symbol"]])
- has_group <- !is.null(dat[["group"]])
- if (has_color) {
- title <- as.list(d$args)[["color"]] %||% as.list(d$args)[["z"]] %||% ""
- x$data <- c(x$data, colorize(dat, title))
- }
- # TODO: add a legend title (is this only possible via annotations?!?)
- if (has_symbol) x$data <- c(x$data, symbolize(dat))
- if (has_group) x$data <- c(x$data, traceify(dat, "group"))
- if (!has_color && !has_symbol && !has_group) x$data <- c(x$data, list(dat))
- } else {
- x$data <- c(x$data, list(d))
- }
- }
- # it's possible have nested layouts (e.g., plot_ly() %>% layout() %>% layout())
- nms <- names(l$layout)
- idx <- nms %in% "layout"
- l$layout <- c(list(l$layout[!idx]), setNames(l$layout[idx], NULL))
- for (i in seq_along(l$layout)) {
- x$layout[[i]] <- perform_eval(l$layout[[i]])
- }
- x$layout <- Reduce(modifyList, x$layout)
- # if style is not null, use it to modify existing traces
- if (!is.null(l$style)) {
- for (i in seq_along(l$style)) {
- sty <- perform_eval(l$style[[i]])
- for (k in l$style[[i]]$traces)
- x$data[[k]] <- modifyList(x$data[[k]], sty)
- }
- }
- # add appropriate axis title (if they don't already exist)
- x <- axis_titles(x, l)
- # tack on other keyword arguments, if necessary
- idx <- !names(l) %in% c("data", "layout")
- if (any(idx)) x <- c(x, l[idx])
- x <- add_boxed(x)
- # ugh, annotations _must_ be an _array_ of object(s)...
- a <- x$layout$annotations
- if (!is.null(a) && !is.null(names(a))) {
- x$layout$annotations <- list(x$layout$annotations)
- }
- # traces shouldn't have any names
- x$data <- setNames(x$data, NULL)
- # if this is a non-line scatter trace and no hovermode exists,
- # set hovermode to closest
- if (is.null(x$data[[1]]$type) || isTRUE(x$data[[1]]$type == "scatter")) {
- if (!grepl("lines", x$data[[1]]$mode %||% "lines"))
- x$layout$hovermode <- x$layout$hovermode %||% "closest"
- }
+as_widget <- function(x, ...) {
+ if (inherits(x, "htmlwidget")) return(x)
# add plotly class mainly for printing method
- structure(x, class = unique("plotly_built", class(x)))
-}
-
-# returns a _list of traces_.
-colorize <- function(dat, title = "") {
- cols <- dat[["color"]] %||% dat[["z"]]
- if (is.numeric(cols)) {
- # by default, use viridis::viridis(10) -> http://rud.is/b/2015/07/20/using-the-new-viridis-colormap-in-r-thanks-to-simon-garnier/
- colors <- dat[["colors"]] %||% viridis::viridis(10)
- cols <- as.vector(cols)
- rng <- range(cols, na.rm = TRUE)
- x <- seq(min(rng), max(rng), length.out = 10)
- colz <- scales::col_numeric(colors, rng, na.color = "transparent")(x)
- df <- if (length(cols) > 1) data.frame(scales::rescale(x), colz)
- else data.frame(c(0, 1), rep(colz, 2))
- col_list <- list(
- colorbar = list(title = as.character(title)),
- colorscale = setNames(df, NULL)
- )
- # scatter-like traces can have both line and marker objects
- if (grepl("scatter", dat[["type"]] %||% "scatter")) {
- col_list$color <- cols
- dat[["marker"]] <- modifyList(col_list, dat[["marker"]] %||% list())
- #mode <- dat[["mode"]] %||% "markers+lines"
- # can't have a colorscale for both markers and lines???
- #dat[["line"]] <- modifyList(col_list, dat[["line"]] %||% list())
- } else {
- dat <- c(dat, col_list)
- }
- dat <- list(dat)
- } else { # discrete color scale
- lvls <- unique(cols)
- N <- length(lvls)
- default <- if (is.ordered(cols)) viridis::viridis(N)
- else RColorBrewer::brewer.pal(N, "Set2")
- colors <- dat[["colors"]] %||% default
- colz <- scales::col_factor(colors, levels = lvls, na.color = "transparent")(lvls)
- dat <- traceify(dat, "color")
- dat <- Map(function(x, y) { x[["marker"]] <- c(x[["marker"]], list(color = y)); x },
- dat, colz)
- }
- dat <- lapply(dat, function(x) { x$color <- NULL; x$colors <- NULL; x })
- dat
-}
-
-symbolize <- function(dat) {
- # symbols really only make sense when markers are in the mode, right?
- dat$mode <- dat$mode %||% "markers"
- dat <- traceify(dat, "symbol")
- dat <- lapply(dat, function(x) { x$symbol <- NULL; x })
- N <- length(dat)
- if (N > 8) warning("Plotly supports 8 different symbols, but you have ", N, " levels!")
- symbols <- c('dot', 'cross', 'diamond', 'square', 'triangle-down', 'triangle-left', 'triangle-right', 'triangle-up')
- sym <- dat[[1]][["symbols"]][seq_len(N)] %||% symbols[seq_len(N)]
- dat <- Map(function(x, y) { x$marker$symbol <- y; x }, dat, sym)
- dat
-}
-
-# break up a single trace into multiple traces according to values stored
-# a particular key name
-traceify <- function(dat, nm = "group") {
- x <- dat[[nm]]
- if (is.null(x)) {
- return(list(dat))
- } else {
- # the order of lvls determines the order in which traces are drawn
- # for ordered factors at least, it makes sense to draw the highest level first
- # since that _should_ be the darkest color in a sequential pallette
- lvls <- if (is.factor(x)) rev(levels(x)) else unique(x)
- n <- length(x)
- # recursively search for a non-list of appropriate length (if it is, subset it)
- recurse <- function(z, n, idx) {
- if (is.list(z)) lapply(z, recurse, n, idx) else if (length(z) == n) z[idx] else z
- }
- new_dat <- list()
- for (j in seq_along(lvls)) {
- new_dat[[j]] <- lapply(dat, function(y) recurse(y, n, x %in% lvls[j]))
- new_dat[[j]]$name <- lvls[j]
- }
- return(new_dat)
- }
-}
-
-axis_titles <- function(x, l) {
- d <- l$data[[1]]
- argz <- as.list(d$args)
- scene <- if (isTRUE(d$type %in% c("scatter3d", "surface"))) TRUE else FALSE
- for (i in c("x", "y", "z")) {
- ax <- paste0(i, "axis")
- t <- x$layout[[ax]]$title %||% x$layout$scene[[ax]]$title
- if (is.null(t)) {
- idx <- which(names(argz) %in% i)
- if (length(idx)) {
- title <- if (is.language(argz[[idx]])) deparse(argz[[idx]]) else i
- if (scene) x$layout[["scene"]][[ax]]$title <- title
- else x$layout[[ax]]$title <- title
- }
- }
- }
- x
-}
-
-#' Create a complete empty plotly graph.
-#'
-#' Useful when used with \link{subplot}
-#'
-#' @export
-plotly_empty <- function() {
- eaxis <- list(
- showticklabels = FALSE,
- showgrid = FALSE,
- zeroline = FALSE
+ # customize the JSON serializer (for htmlwidgets)
+ attr(x, 'TOJSON_FUNC') <- to_JSON
+ htmlwidgets::createWidget(
+ name = "plotly",
+ x = x,
+ width = x$layout$width,
+ height = x$layout$height,
+ sizingPolicy = htmlwidgets::sizingPolicy(
+ browser.fill = TRUE,
+ defaultWidth = '100%',
+ defaultHeight = 400
+ ),
+ preRenderHook = plotly_build
)
- layout(plot_ly(), xaxis = eaxis, yaxis = eaxis)
}
diff --git a/R/plotly_POST.R b/R/plotly_POST.R
index e4ced1affc..de643b83fd 100644
--- a/R/plotly_POST.R
+++ b/R/plotly_POST.R
@@ -38,10 +38,12 @@
plotly_POST <- function(x, filename = NULL, fileopt = "overwrite",
sharing = c("public", "private", "secret")) {
x <- plotly_build(x)
+ if (inherits(x, "htmlwidget")) x <- x$x
# try our damndest to assign a sensible filename
x$filename <- filename %||% x$filename %||% as.character(x$layout$title) %||%
paste(c(x$layout$xaxis$title, x$layout$yaxis$title, x$layout$zaxis$title),
- collapse = " vs. ") %||% paste("Created at", Sys.time())
+ collapse = " vs. ")
+ if (nchar(x$filename) == 0) x$filename <- paste("Created at", Sys.time())
if (!is.null(x$fileopt)) {
warning("fileopt was specified in the wrong place.",
"Please specify in plotly_POST()")
@@ -83,5 +85,5 @@ plotly_POST <- function(x, filename = NULL, fileopt = "overwrite",
new = "Success! Created a new plotly here -> ",
overwrite = "Success! Modified your plotly here -> ")
message(msg, con$url)
- structure(con, class = "figure")
+ structure(con, class = "plotly_figure")
}
diff --git a/R/plotly_build.R b/R/plotly_build.R
new file mode 100644
index 0000000000..a03a658fe9
--- /dev/null
+++ b/R/plotly_build.R
@@ -0,0 +1,626 @@
+#' 'Build' (i.e., evaluate) a plotly object
+#'
+#' This generic function creates the list object sent to plotly.js
+#' for rendering. Using this function can be useful for overriding defaults
+#' provided by \code{ggplotly}/\code{plot_ly} or for debugging rendering
+#' errors.
+#'
+#' @param p a ggplot object, or a plotly object, or a list.
+#' @export
+#' @examples
+#'
+#' p <- plot_ly(economics, x = ~date, y = ~pce)
+#' # the unevaluated plotly object
+#' str(p)
+#' # the evaluated data
+#' str(plotly_build(p)$x$data)
+#'
+plotly_build <- function(p) {
+ UseMethod("plotly_build")
+}
+
+#' @export
+plotly_build.list <- function(p) {
+ as_widget(p)
+}
+
+#' @export
+plotly_build.gg <- function(p) {
+ ggplotly(p)
+}
+
+#' @export
+plotly_build.plotly <- function(p) {
+
+ layouts <- Map(function(x, y) {
+
+ d <- plotly_data(p, y)
+ x <- rapply(x, eval_attr, data = d, how = "list")
+ x[lengths(x) > 0]
+
+ }, p$x$layoutAttrs, names2(p$x$layoutAttrs))
+
+ # get rid of the data -> layout mapping and merge all the layouts
+ # into a single layout (more recent layouts will override older ones)
+ p$x$layoutAttrs <- NULL
+ p$x$layout <- modify_list(p$x$layout, Reduce(modify_list, layouts))
+
+ # If type was not specified in plot_ly(), it doesn't create a trace unless
+ # there are no other traces
+ if (length(p$x$attrs) > 1 && is.null(p$x$attrs[[1]][["type"]])) {
+ p$x$attrs[[1]] <- NULL
+ }
+
+ dats <- Map(function(x, y) {
+
+ # perform the evaluation
+ dat <- plotly_data(p, y)
+ trace <- structure(
+ rapply(x, eval_attr, data = dat, how = "list"),
+ class = oldClass(x)
+ )
+ # determine trace type (if not specified, can depend on the # of data points)
+ # note that this should also determine a sensible mode, if appropriate
+ trace <- verify_type(trace)
+
+ # add sensible axis names to layout
+ for (i in c("x", "y", "z")) {
+ nm <- paste0(i, "axis")
+ idx <- which(names(trace) %in% i)
+ if (length(idx) == 1) {
+ title <- deparse2(x[[idx]])
+ if (is3d(trace$type) || i == "z") {
+ p$x$layout$scene[[nm]]$title <<- p$x$layout$scene[[nm]]$title %||% title
+ } else {
+ p$x$layout[[nm]]$title <<- p$x$layout[[nm]]$title %||% title
+ }
+ }
+ }
+
+ # attribute type checking for special trace types
+ if (inherits(trace, c("plotly_heatmap", "plotly_surface", "plotly_contour"))) {
+ if (!is.matrix(trace[["z"]]) || !is.numeric(trace[["z"]])) {
+ stop("`z` must be a numeric matrix", call. = FALSE)
+ }
+ }
+
+ # TODO: if we ever provide some semantics for summary statistics,
+ # it should go here
+
+ # gather the "built" or "evaluated" data
+ nobs <- NROW(dat)
+ attrLengths <- lengths(trace)
+ if (nobs == 0) nobs <- max(attrLengths)
+ # NOTE: it's hard to distinguish variables/constants when there is 1 row.
+ # Fortunately, variable mappings don't make much sense with one observation,
+ # and that is the whole point of "recovering" the built data here, so we just ignore
+ # cases with one row
+ isVar <- attrLengths > 1 & attrLengths == nobs & !vapply(trace, is.matrix, logical(1))
+ builtData <- data.frame(trace[isVar], stringsAsFactors = FALSE)
+
+ if (NROW(builtData) > 0) {
+ # Build the index used to split one "trace" into multiple traces
+ isAsIs <- vapply(builtData, function(x) inherits(x, "AsIs"), logical(1))
+ isDiscrete <- vapply(builtData, is.discrete, logical(1))
+ # note: can only have one linetype per trace
+ isSplit <- names(builtData) %in% "linetype" |
+ !isAsIs & isDiscrete & names(builtData) %in% c("symbol", "color")
+ if (any(isSplit)) {
+ paste2 <- function(x, y) paste(x, y, sep = "
")
+ builtData$.plotlyTraceIndex <- Reduce(paste2, builtData[isSplit])
+ }
+ # Build the index used to determine grouping (later on, NAs are inserted
+ # via group2NA() to create the groups). This is done in 2 parts:
+ # 1. Translate missing values on positional scales to a grouping variable.
+ # If grouping isn't relevant for this trace, a warning is thrown since
+ # NAs are removed.
+ # 2. The grouping from (1) and any groups detected via dplyr::groups()
+ # are combined into a single grouping variable, .plotlyGroupIndex
+ isComplete <- complete.cases(builtData[names(builtData) %in% c("x", "y", "z")])
+ # is grouping relevant for this geometry? (e.g., grouping doesn't effect a scatterplot)
+ hasGrp <- inherits(trace, paste0("plotly_", c("segment", "path", "line", "polygon"))) ||
+ (grepl("scatter", trace[["type"]]) && grepl("lines", trace[["mode"]]))
+ # warn about missing values if groups aren't relevant for this trace type
+ if (any(!isComplete) && !hasGrp) {
+ warning("Ignoring ", sum(!isComplete), " observations", call. = FALSE)
+ }
+ builtData$.plotlyGroupIndex <- cumsum(!isComplete)
+ builtData <- builtData[isComplete, ]
+ grps <- tryCatch(
+ as.character(dplyr::groups(dat)),
+ error = function(e) character(0)
+ )
+ if (length(grps) && hasGrp) {
+ if (isTRUE(trace[["connectgaps"]])) {
+ stop(
+ "Can't use connectgaps=TRUE when data has group(s).",
+ call. = FALSE
+ )
+ }
+ builtData$.plotlyGroupIndex <- interaction(
+ interaction(dat[isComplete, grps, drop = FALSE]),
+ builtData$.plotlyGroupIndex %||% ""
+ )
+ }
+ builtData <- train_data(builtData, trace)
+ # TODO: provide a better way to clean up "high-level" attrs
+ trace[c("ymin", "ymax", "yend", "xend")] <- NULL
+ trace$.plotlyVariableMapping <- names(builtData)
+ # arrange the built data
+ arrangeVars <- c(
+ ".plotlyTraceIndex", "group", if (inherits(trace, "plotly_line")) "x"
+ )
+ arrangeVars <- arrangeVars[arrangeVars %in% names(builtData)]
+ if (length(arrangeVars)) {
+ builtData <- dplyr::arrange_(builtData, arrangeVars)
+ }
+ # copy over to the trace data
+ for (i in names(builtData)) {
+ trace[[i]] <- builtData[[i]]
+ }
+ }
+
+ trace[lengths(trace) > 0]
+
+ }, p$x$attrs, names2(p$x$attrs))
+
+ # traceify by the interaction of discrete variables
+ traces <- list()
+ for (i in seq_along(dats)) {
+ d <- dats[[i]]
+ scaleAttrs <- names(d) %in% paste0(npscales(), "s")
+ traces <- c(traces, traceify(d[!scaleAttrs], d$.plotlyTraceIndex))
+ if (i == 1) traces[[1]] <- c(traces[[1]], d[scaleAttrs])
+ }
+
+ # insert NAs to differentiate groups
+ traces <- lapply(traces, function(x) {
+ d <- data.frame(x[names(x) %in% x$.plotlyVariableMapping], stringsAsFactors = FALSE)
+ d <- group2NA(
+ d, ".plotlyGroupIndex", ordered = if (inherits(x, "plotly_line")) "x",
+ retrace.first = inherits(x, "plotly_polygon")
+ )
+ for (i in x$.plotlyVariableMapping) {
+ x[[i]] <- structure(uniq(d[[i]]), class = oldClass(x[[i]]))
+ }
+ x
+ })
+ # "transforms" of (i.e., apply scaling to) special arguments
+ # IMPORTANT: scales are applied at the plot-level!!
+ colorTitle <- unlist(lapply(p$x$attrs, function(x) {
+ deparse2(x[["color"]] %||% x[["z"]])
+ }))
+ traces <- map_color(traces, title = paste(colorTitle, collapse = "
"))
+ traces <- map_size(traces)
+ traces <- map_symbol(traces)
+ traces <- map_linetype(traces)
+
+ # remove special mapping attributes
+ for (i in seq_along(traces)) {
+ mappingAttrs <- c(
+ "alpha", npscales(), paste0(npscales(), "s"),
+ ".plotlyGroupIndex", ".plotlyTraceIndex", ".plotlyVariableMapping"
+ )
+ for (j in mappingAttrs) {
+ traces[[i]][[j]] <- NULL
+ }
+ }
+
+ # it's possible that the plot object already has some traces
+ # (like figures pulled from a plotly server)
+ p$x$data <- setNames(c(p$x$data, traces), NULL)
+
+ # get rid of data -> vis mapping stuff
+ p$x[c("visdat", "cur_data", "attrs")] <- NULL
+
+ if (has_colorbar(p) && has_legend(p)) {
+ if (length(p$x$data) <= 2) {
+ p$x$layout$showlegend <- FALSE
+ } else {
+ # shrink the colorbar
+ idx <- which(vapply(p$x$data, function(x) inherits(x, "plotly_colorbar"), logical(1)))
+ p$x$data[[idx]]$marker$colorbar <- modify_list(
+ list(len = 1/2, lenmode = "fraction", y = 1, yanchor = "top"),
+ p$x$data[[idx]]$marker$colorbar
+ )
+ p$x$layout$legend <- modify_list(
+ list(y = 1/2, yanchor = "top"),
+ p$x$layout$legend
+ )
+ }
+ }
+ # verify plot attributes are legal according to the plotly.js spec
+ p <- verify_attr_names(p)
+ # box up 'data_array' attributes where appropriate
+ p <- verify_boxed(p)
+ # if it makes sense, add markers/lines/text to mode
+ p <- verify_mode(p)
+ # annotations & shapes must be an array of objects
+ # TODO: should we add anything else to this?
+ p <- verify_arrays(p)
+ # set a sensible hovermode if it hasn't been specified already
+ p <- verify_hovermode(p)
+ # try to convert to webgl if toWebGl was used
+ verify_webgl(p)
+}
+
+# ----------------------------------------------------------------
+# Functions used solely within plotly_build
+# ----------------------------------------------------------------
+
+train_data <- function(data, trace) {
+ if (inherits(trace, "plotly_area")) {
+ data$ymin <- 0
+ }
+ if (inherits(trace, "plotly_ribbon")) {
+ data <- ribbon_dat(data)
+ }
+ if (inherits(trace, "plotly_segment")) {
+ # TODO: this could be faster, more efficient
+ data$.plotlyGroupIndex <- seq_len(NROW(data))
+ data <- gather_(
+ gather_(data, "tmp", "x", c("x", "xend")),
+ "tmp", "y", c("y", "yend")
+ )
+ data <- dplyr::arrange_(data[!names(data) %in% "tmp"], ".plotlyGroupIndex")
+ data <- dplyr::distinct(data)
+ data <- dplyr::group_by_(data, ".plotlyGroupIndex", add = TRUE)
+ }
+ # TODO: a lot more geoms!!!
+ data
+}
+
+
+map_size <- function(traces) {
+ sizeList <- lapply(traces, "[[", "size")
+ nSizes <- lengths(sizeList)
+ # if no "top-level" color is present, return traces untouched
+ if (all(nSizes == 0)) {
+ return(traces)
+ }
+ allSize <- unlist(compact(sizeList))
+ if (!is.null(allSize) && is.discrete(allSize)) {
+ stop("Size must be mapped to a numeric variable",
+ "symbols only make sense for discrete variables", call. = FALSE)
+ }
+ sizeRange <- range(allSize, na.rm = TRUE)
+
+ types <- unlist(lapply(traces, function(tr) tr$type %||% "scatter"))
+ modes <- unlist(lapply(traces, function(tr) tr$mode %||% "lines"))
+ hasMarker <- has_marker(types, modes)
+ hasLine <- has_line(types, modes)
+ hasText <- has_text(types, modes)
+
+ for (i in which(nSizes > 0)) {
+ s <- sizeList[[i]]
+ isConstant <- inherits(s, "AsIs")
+ sizeI <- if (isConstant) {
+ structure(s, class = setdiff(class(s), "AsIs"))
+ } else {
+ scales::rescale(s, from = sizeRange, to = traces[[1]]$sizes)
+ }
+ if (hasMarker[[i]]) {
+ # plotly.js
+ sizeI <- rep(sizeI, length.out = max(lengths(traces[[i]])))
+ traces[[i]]$marker <- modify_list(
+ list(size = sizeI, sizemode = "area"),
+ traces[[i]]$marker
+ )
+ }
+ if (hasLine[[i]]) {
+ if (!isConstant || length(sizeI) > 1) {
+ warning(
+ "plotly.js doesn't yet support line.width arrays, track this issue for progress\n",
+ " https://github.com/plotly/plotly.js/issues/147",
+ call. = FALSE
+ )
+ }
+ traces[[i]]$line <- modify_list(
+ list(width = sizeI[1]),
+ traces[[i]]$line
+ )
+ }
+ if (hasText[[i]]) {
+ if (!isConstant || length(sizeI) > 1) {
+ warning(
+ "plotly.js doesn't yet support textfont.size arrays",
+ call. = FALSE
+ )
+ }
+ traces[[i]]$textfont <- modify_list(
+ list(size = sizeI[1]),
+ traces[[i]]$textfont
+ )
+ }
+ }
+ traces
+}
+
+# appends a new (empty) trace to generate (plot-wide) colorbar/colorscale
+map_color <- function(traces, title = "", na.color = "transparent") {
+ color <- lapply(traces, function(x) {
+ x[["color"]] %||% if (has_attr(x$type, "colorscale")) x[["z"]] else NULL
+ })
+ nColors <- lengths(color)
+ # if no "top-level" color is present, return traces untouched
+ if (all(nColors == 0)) {
+ return(traces)
+ }
+ isConstant <- vapply(color, function(x) inherits(x, "AsIs"), logical(1))
+ isNumeric <- vapply(color, is.numeric, logical(1)) & !isConstant
+ isDiscrete <- vapply(color, is.discrete, logical(1)) & !isConstant
+ if (any(isNumeric & isDiscrete)) {
+ stop("Can't have both discrete and numeric color mappings", call. = FALSE)
+ }
+ # color/colorscale/colorbar attribute placement depends on trace type and marker mode
+ types <- unlist(lapply(traces, function(tr) tr$type %||% "scatter"))
+ modes <- unlist(lapply(traces, function(tr) tr$mode %||% "lines"))
+ hasMarker <- has_marker(types, modes)
+ hasLine <- has_line(types, modes)
+ hasText <- has_text(types, modes)
+ hasZ <- has_attr(types, "colorscale") &
+ any(vapply(traces, function(tr) !is.null(tr$z), logical(1)))
+
+ for (i in which(isConstant)) {
+ if (hasLine[[i]]) {
+ traces[[i]]$line <- modify_list(
+ list(color = toRGB(color[[i]], traces[[i]]$alpha %||% 1)),
+ traces[[i]]$line
+ )
+ }
+ if (hasMarker[[i]]) {
+ traces[[i]]$marker <- modify_list(
+ list(color = toRGB(color[[i]], traces[[i]]$alpha %||% 1)),
+ traces[[i]]$marker
+ )
+ }
+ if (hasText[[i]]) {
+ traces[[i]]$textfont <- modify_list(
+ list(color = toRGB(color[[i]], traces[[i]]$alpha %||% 1)),
+ traces[[i]]$textfont
+ )
+ }
+ }
+
+ if (any(isNumeric)) {
+ palette <- traces[[1]][["colors"]] %||% viridisLite::viridis(10)
+ # TODO: use ggstat::frange() when it's on CRAN?
+ allColor <- unlist(color[isNumeric])
+ rng <- range(allColor, na.rm = TRUE)
+ colScale <- scales::col_numeric(palette, rng, na.color = na.color)
+ # generate the colorscale to be shared across traces
+ vals <- if (diff(rng) > 0) {
+ as.numeric(stats::quantile(allColor, probs = seq(0, 1, length.out = 25), na.rm = TRUE))
+ } else {
+ c(0, 1)
+ }
+
+ colorScale <- matrix(
+ c(scales::rescale(vals), toRGB(colScale(vals), traces[[1]]$alpha %||% 1)),
+ ncol = 2
+ )
+ colorObj <- list(
+ colorbar = list(title = as.character(title), ticklen = 2),
+ cmin = rng[1],
+ cmax = rng[2],
+ colorscale = colorScale,
+ showscale = FALSE
+ )
+ for (i in which(isNumeric)) {
+ if (hasZ[[i]]) {
+ colorObj[c("cmin", "cmax")] <- NULL
+ colorObj[["showscale"]] <- TRUE
+ traces[[i]] <- modify_list(colorObj, traces[[i]])
+ traces[[i]]$colorscale <- as_df(traces[[i]]$colorscale)
+ next
+ }
+ colorObj$color <- color[[i]]
+ if (hasLine[[i]]) {
+ if (types[[i]] %in% c("scatter", "scattergl")) {
+ warning("Numeric color variables cannot (yet) be mapped to lines.\n",
+ " when the trace type is 'scatter' or 'scattergl'.\n", call. = FALSE)
+ traces[[i]]$mode <- paste0(traces[[i]]$mode, "+markers")
+ hasMarker[[i]] <- TRUE
+ } else {
+ # scatter3d supports data arrays for color
+ traces[[i]]$line <- modify_list(colorObj, traces[[i]]$line)
+ traces[[i]]$marker$colorscale <- as_df(traces[[i]]$marker$colorscale)
+ }
+ }
+ if (hasMarker[[i]]) {
+ traces[[i]]$marker <- modify_list(colorObj, traces[[i]]$marker)
+ traces[[i]]$marker$colorscale <- as_df(traces[[i]]$marker$colorscale)
+ }
+ if (hasText[[i]]) {
+ warning("Numeric color variables cannot (yet) be mapped to text.\n",
+ "Feel free to make a feature request \n",
+ "https://github.com/plotly/plotly.js", call. = FALSE)
+ }
+ }
+ if (any(hasZ)) return(traces)
+ # add an "empty" trace with the colorbar
+ colorObj$color <- rng
+ colorObj$showscale <- TRUE
+ colorBarTrace <- list(
+ x = range(unlist(lapply(traces, "[[", "x")), na.rm = TRUE),
+ y = range(unlist(lapply(traces, "[[", "y")), na.rm = TRUE),
+ type = "scatter",
+ mode = "markers",
+ opacity = 0,
+ hoverinfo = "none",
+ showlegend = FALSE,
+ marker = colorObj
+ )
+ if ("scatter3d" %in% unlist(lapply(traces, "[[", "type"))) {
+ colorBarTrace$type <- "scatter3d"
+ colorBarTrace$z <- range(unlist(lapply(traces, "[[", "z")), na.rm = TRUE)
+ }
+ traces[[length(traces) + 1]] <- structure(colorBarTrace, class = "plotly_colorbar")
+ }
+
+ if (any(isDiscrete)) {
+ allColor <- unlist(color[isDiscrete])
+ lvls <- unique(allColor)
+ N <- length(lvls)
+ palette <- traces[[1]][["colors"]] %||%
+ if (is.ordered(allColor)) viridisLite::viridis(N) else RColorBrewer::brewer.pal(N, "Set2")
+ if (is.list(palette) && length(palette) > 1) {
+ stop("Multiple numeric color palettes specified (via the colors argument).\n",
+ "When using the color/colors arguments, only one palette is allowed.",
+ call. = FALSE)
+ }
+
+ colScale <- scales::col_factor(palette, levels = lvls, na.color = na.color)
+ for (i in which(isDiscrete)) {
+ if (hasLine[[i]]) {
+ traces[[i]]$line <- modify_list(
+ list(color = colScale(color[[i]])),
+ traces[[i]]$line
+ )
+ }
+ if (hasMarker[[i]]) {
+ traces[[i]]$marker <- modify_list(
+ list(color = colScale(color[[i]])),
+ traces[[i]]$marker
+ )
+ }
+ if (hasText[[i]]) {
+ traces[[i]]$textfont <- modify_list(
+ list(color = colScale(color[[i]])),
+ traces[[i]]$textfont
+ )
+ }
+ }
+ }
+
+ traces
+}
+
+map_symbol <- function(traces) {
+ symbolList <- lapply(traces, "[[", "symbol")
+ nSymbols <- lengths(symbolList)
+ # if no "top-level" symbol is present, return traces untouched
+ if (all(nSymbols == 0)) {
+ return(traces)
+ }
+ symbol <- unlist(compact(symbolList))
+ if (!is.null(symbol) && !is.discrete(symbol)) {
+ warning("Coercing the symbol variable to a factor since\n",
+ "symbols only make sense for discrete variables", call. = FALSE)
+ symbol <- as.factor(symbol)
+ }
+ N <- length(unique(symbol))
+ if (N > 8) {
+ warning("You've mapped a variable with ", N, " different levels to symbol.\n",
+ "It's very difficult to perceive more than 8 different symbols\n",
+ "in a single plot.", call. = FALSE)
+ }
+ # symbol values are duplicated (there is a valid numeric and character string for each symbol)
+ validSymbols <- as.character(Schema$traces$scatter$attributes$marker$symbol$values)
+ # give a sensible ordering the valid symbols so that we map
+ # to a palette that can be easily perceived
+ defaultPalette <- c(
+ 'circle', 'cross', 'diamond', 'square', 'triangle-down',
+ 'triangle-left', 'triangle-right', 'triangle-up'
+ )
+ symbols <- traces[[1]]$symbols %||% defaultPalette
+ palette <- setNames(symbols[seq_len(N)], unique(symbol))
+ for (i in which(nSymbols > 0)) {
+ s <- symbolList[[i]]
+ symbols <- pch2symbol(if (inherits(s, "AsIs")) s else as.character(palette[s]))
+ illegalSymbols <- setdiff(symbols, validSymbols)
+ if (length(illegalSymbols)) {
+ warning(
+ "The following are not valid symbol codes:\n'",
+ paste(illegalSymbols, collapse = "', '"), "'\n",
+ "Valid symbols include:\n'",
+ paste(validSymbols, collapse = "', '"), call. = FALSE
+ )
+ }
+ traces[[i]]$marker <- modify_list(
+ list(symbol = symbols),
+ traces[[i]]$marker
+ )
+ # ensure the mode is set so that the symbol is relevant
+ if (!grepl("markers", traces[[i]]$mode %||% "")) {
+ message("Adding markers to mode; otherwise symbol would have no effect.")
+ traces[[i]]$mode <- paste0(traces[[i]]$mode, "+markers")
+ }
+ }
+ traces
+}
+
+map_linetype <- function(traces) {
+ linetypeList <- lapply(traces, "[[", "linetype")
+ nLinetypes <- lengths(linetypeList)
+ # if no "top-level" linetype is present, return traces untouched
+ if (all(nLinetypes == 0)) {
+ return(traces)
+ }
+ linetype <- unlist(compact(linetypeList))
+ if (!is.null(linetype) && !is.discrete(linetype)) {
+ warning("Coercing the linetype variable to a factor since\n",
+ "linetype only make sense for discrete variables", call. = FALSE)
+ linetype <- as.factor(linetype)
+ }
+ N <- length(unique(linetype))
+ validLinetypes <- as.character(
+ Schema$traces$scatter$attributes$line$dash$values
+ )
+ if (N > length(validLinetypes)) {
+ warning("linetype has ", N, " levels.\n", "plotly.js only has ",
+ length(validLinetypes), " different line types", call. = TRUE)
+ }
+ linetypes <- unique(unlist(lapply(traces, "[[", "linetypes"))) %||% validLinetypes
+ palette <- setNames(linetypes[seq_len(N)], unique(linetype))
+ for (i in which(nLinetypes > 0)) {
+ l <- linetypeList[[i]]
+ dashes <- lty2dash(if (inherits(l, "AsIs")) l else as.character(palette[l]))
+ illegalLinetypes <- setdiff(dashes, validLinetypes)
+ if (length(illegalLinetypes)) {
+ warning(
+ "The following are not valid linetype codes:\n'",
+ paste(illegalLinetypes, collapse = "', '"), "'\n",
+ "Valid linetypes include:\n'",
+ paste(validLinetypes, collapse = "', '"), "'", call. = FALSE
+ )
+ }
+ traces[[i]][["line"]] <- modify_list(
+ list(dash = dashes), traces[[i]][["line"]]
+ )
+ # ensure the mode is set so that the linetype is relevant
+ if (!grepl("lines", traces[[i]]$mode %||% "")) {
+ message("Adding lines to mode; otherwise linetype would have no effect.")
+ traces[[i]][["mode"]] <- paste0(traces[[i]][["mode"]], "+lines")
+ }
+ }
+ traces
+}
+
+
+# break up a single trace into multiple traces according to values stored
+# a particular key name
+traceify <- function(dat, x = NULL) {
+ if (length(x) == 0) return(list(dat))
+ lvls <- if (is.factor(x)) levels(x) else unique(x)
+ # the order of lvls determines the order in which traces are drawn
+ # for ordered factors at least, it makes sense to draw the highest level first
+ # since that _should_ be the darkest color in a sequential pallette
+ if (is.ordered(x)) lvls <- rev(lvls)
+ n <- length(x)
+ # recursively search for a non-list of appropriate length (if it is, subset it)
+ recurse <- function(z, n, idx) {
+ if (is.list(z)) lapply(z, recurse, n, idx) else if (length(z) == n) z[idx] else z
+ }
+ new_dat <- list()
+ for (j in seq_along(lvls)) {
+ new_dat[[j]] <- lapply(dat, function(y) recurse(y, n, x %in% lvls[j]))
+ new_dat[[j]]$name <- lvls[j]
+ }
+ return(new_dat)
+}
+
+
+eval_attr <- function(x, data = NULL) {
+ if (lazyeval::is_formula(x)) lazyeval::f_eval(x, data) else x
+}
diff --git a/R/plotly_data.R b/R/plotly_data.R
new file mode 100644
index 0000000000..929ff0a2ed
--- /dev/null
+++ b/R/plotly_data.R
@@ -0,0 +1,142 @@
+#' Obtain data associated with a plotly graph
+#'
+#' \code{plotly_data()} returns data associated with
+#' a plotly visualization (if there are multiple data frames, by default,
+#' it returns the most recent one).
+#'
+#' @param p a plotly visualization
+#' @param id a character string or number referencing an "attribute layer".
+#' @return returns a data frame
+#' @examples
+#' @export
+#'
+#' # use group_by() to define groups of visual markings
+#' p <- txhousing %>%
+#' group_by(city) %>%
+#' plot_ly(x = ~date, y = ~sales)
+#' p
+#'
+#' # plotly objects preserve data groupings
+#' groups(p)
+#' plotly_data(p)
+#'
+#' # dplyr verbs operate on plotly objects as if they were data frames
+#' p <- economics %>%
+#' plot_ly(x = ~date, y = ~unemploy / pop) %>%
+#' add_lines() %>%
+#' mutate(rate = unemploy / pop) %>%
+#' filter(rate == max(rate))
+#' plotly_data(p)
+#' add_markers(p)
+#' layout(p, annotations = list(x = ~date, y = ~rate, text = "peak"))
+#'
+#' # use group_by() + do() + subplot() for trellis displays
+#' d <- group_by(mpg, drv)
+#' plots <- do(d, p = plot_ly(., x = ~cty, name = ~drv))
+#' subplot(plots[["p"]], nrows = 3, shareX = TRUE)
+#'
+#' # arrange displays by their mean
+#' means <- summarise(d, mn = mean(cty, na.rm = TRUE))
+#' means %>%
+#' left_join(plots) %>%
+#' arrange(mn) %>%
+#' .[["p"]] %>%
+#' subplot(nrows = NROW(.), shareX = TRUE)
+#'
+#' # more dplyr verbs applied to plotly objects
+#' p <- mtcars %>%
+#' plot_ly(x = ~wt, y = ~mpg, name = "scatter trace") %>%
+#' add_markers()
+#' p %>% slice(1) %>% plotly_data()
+#' p %>% slice(1) %>% add_markers(name = "first observation")
+#' p %>% filter(cyl == 4) %>% plotly_data()
+#' p %>% filter(cyl == 4) %>% add_markers(name = "four cylinders")
+#'
+#'
+plotly_data <- function(p, id = p$x$cur_data) {
+ f <- p$x$visdat[[id]]
+ # if data has been specified, f should be a closure that, when called,
+ # returns data
+ if (is.function(f)) return(f())
+ data.frame()
+}
+
+#' @rawNamespace export(groups.plotly)
+groups.plotly <- function(x) {
+ dplyr::groups(plotly_data(x))
+}
+
+#' @rawNamespace export(ungroup.plotly)
+ungroup.plotly <- function(x) {
+ dplyr::ungroup(plotly_data(x))
+}
+
+#' @rawNamespace export(group_by_.plotly)
+group_by_.plotly <- function(.data, ..., .dots, add = FALSE) {
+ d <- plotly_data(.data)
+ d <- dplyr::group_by_(d, .dots = lazyeval::all_dots(.dots, ...), add = add)
+ add_data(.data, d)
+}
+
+#' @rawNamespace export(summarise_.plotly)
+summarise_.plotly <- function(.data, ..., .dots) {
+ d <- plotly_data(.data)
+ d <- dplyr::summarise_(d, .dots = lazyeval::all_dots(.dots, ...))
+ add_data(.data, d)
+}
+
+#' @rawNamespace export(mutate_.plotly)
+mutate_.plotly <- function(.data, ..., .dots) {
+ d <- plotly_data(.data)
+ d <- dplyr::mutate_(d, .dots = lazyeval::all_dots(.dots, ...))
+ add_data(.data, d)
+}
+
+#' @rawNamespace export(arrange_.plotly)
+arrange_.plotly <- function(.data, ..., .dots) {
+ d <- plotly_data(.data)
+ d <- dplyr::arrange_(d, .dots = lazyeval::all_dots(.dots, ...))
+ add_data(.data, d)
+}
+
+#' @rawNamespace export(select_.plotly)
+select_.plotly <- function(.data, ..., .dots) {
+ d <- plotly_data(.data)
+ d <- dplyr::select_(d, .dots = lazyeval::all_dots(.dots, ...))
+ add_data(.data, d)
+}
+
+#' @rawNamespace export(filter_.plotly)
+filter_.plotly <- function(.data, ..., .dots) {
+ d <- plotly_data(.data)
+ d <- dplyr::filter_(d, .dots = lazyeval::all_dots(.dots, ...))
+ add_data(.data, d)
+}
+
+#' @rawNamespace export(distinct_.plotly)
+distinct_.plotly <- function(.data, ..., .dots) {
+ d <- plotly_data(.data)
+ d <- dplyr::distinct_(d, .dots = lazyeval::all_dots(.dots, ...))
+ add_data(.data, d)
+}
+
+#' @rawNamespace export(slice_.plotly)
+slice_.plotly <- function(.data, ..., .dots) {
+ d <- plotly_data(.data)
+ d <- dplyr::slice_(d, .dots = lazyeval::all_dots(.dots, ...))
+ add_data(.data, d)
+}
+
+#' @rawNamespace export(rename_.plotly)
+rename_.plotly <- function(.data, ..., .dots) {
+ d <- plotly_data(.data)
+ d <- dplyr::rename_(d, .dots = lazyeval::all_dots(.dots, ...))
+ add_data(.data, d)
+}
+
+#' @rawNamespace export(transmute_.plotly)
+transmute_.plotly <- function(.data, ..., .dots) {
+ d <- plotly_data(.data)
+ d <- dplyr::transmute_(d, .dots = lazyeval::all_dots(.dots, ...))
+ add_data(.data, d)
+}
diff --git a/R/print.R b/R/print.R
index bffa7b5f6b..11031638ab 100644
--- a/R/print.R
+++ b/R/print.R
@@ -1,87 +1,9 @@
-#' Print a plotly object
-#'
-#' @param x a plotly object
-#' @param ... additional arguments
-#' @export
-print.plotly_hash <- function(x, ...) {
- x <- as.widget(x)
- print(x, ...)
-}
-
-#' Print a 'built' plotly object
-#'
-#' @param x a plotly object
-#' @param ... additional arguments
-#' @export
-print.plotly_built <- print.plotly_hash
-
-#' Print a plotly object in a knitr doc
-#'
-#' @param x a plotly object
-#' @param options knitr options.
-#' @param ... additional arguments
-#' @export
-knit_print.plotly_hash <- function(x, options, ...) {
- x <- as.widget(x)
- knitr::knit_print(x, options = options, ...)
-}
-
-#' Print a 'built' plotly object in a knitr doc
-#'
-#' @param x a plotly object
-#' @param options knitr options.
-#' @param ... additional arguments
-#' @export
-knit_print.plotly_built <- knit_print.plotly_hash
-
-#' Convert a plotly object to an htmlwidget object
-#'
-#' @param x a plotly object.
-#' @param ... other options passed onto \code{htmlwidgets::createWidget}
-#' @export
-#' @examples \dontrun{
-#' p <- plot_ly(mtcars, x = mpg, y = disp, mode = "markers")
-#' htmlwidgets::saveWidget(as.widget(p), "index.html")
-#' }
-#'
-
-as.widget <- function(x, ...) {
- if (inherits(x, "htmlwidget")) return(x)
- if (!inherits(x, "plotly_built")) x <- plotly_build(x)
- # set some margin defaults if none are provided
- x$layout$margin <- modifyList(
- list(b = 40, l = 60, t = 25, r = 10),
- x$layout$margin %||% list()
- )
- x$config$modeBarButtonsToRemove <-
- i(x$config$modeBarButtonsToRemove %||% "sendDataToCloud")
- x$base_url <- get_domain()
- # customize the JSON serializer (for htmlwidgets)
- attr(x, 'TOJSON_FUNC') <- to_JSON
- htmlwidgets::createWidget(
- name = "plotly",
- x = x,
- width = x$width,
- height = x$height,
- sizingPolicy = htmlwidgets::sizingPolicy(
- padding = 5,
- browser.fill = TRUE,
- defaultWidth = '100%',
- defaultHeight = 400
- ),
- ...
- )
-}
-
-# for legacy reasons
-toWidget <- as.widget
-
#' Print a plotly figure object
#'
#' @param x a plotly figure object
#' @param ... additional arguments (currently ignored)
#' @export
-print.figure <- function(x, ...) {
+print.plotly_figure <- function(x, ...) {
utils::browseURL(x$url)
}
@@ -92,7 +14,7 @@ print.figure <- function(x, ...) {
#' @param ... placeholder.
#' @export
#' @references https://github.com/yihui/knitr/blob/master/vignettes/knit_print.Rmd
-knit_print.figure <- function(x, options, ...) {
+knit_print.plotly_figure <- function(x, options, ...) {
if (!requireNamespace("knitr")) {
warning("Please install.packages('knitr')")
return(x)
@@ -125,7 +47,7 @@ embed_notebook <- function(x, width = NULL, height = NULL,
if (!dir.exists(dir)) dir.create(dir, recursive = TRUE)
owd <- setwd(dir)
on.exit(setwd(owd), add = TRUE)
- htmlwidgets::saveWidget(as.widget(l), file = basename(file))
+ htmlwidgets::saveWidget(l, file = basename(file))
file
} else {
l$url
diff --git a/R/process.R b/R/process.R
index 7f13d59104..cb6515b265 100644
--- a/R/process.R
+++ b/R/process.R
@@ -24,17 +24,16 @@ process.image <- function(resp) {
error = function(e) httr::content(resp, as = "raw"))
}
-process.figure <- function(resp) {
+process.plotly_figure <- function(resp) {
httr::stop_for_status(resp)
con <- from_JSON(content(resp, as = "text"))
fig <- con$payload$figure
fig$url <- sub("apigetfile/", "~", resp$url)
# make sure that we always return a HTTPS link
con$url <- sub("^http[s]?:", "https:", con$url)
- fig <- add_boxed(fig)
- fig$data[[1]]$inherit <- FALSE
- # any reasonable way to return a data frame?
- hash_plot(data.frame(), fig)
+ fig <- verify_boxed(fig)
+ fig$data <- lapply(fig$data, verify_type)
+ as_widget(fig)
}
process.signup <- function(resp) {
diff --git a/R/shiny.R b/R/shiny.R
index f355004144..5abb794296 100644
--- a/R/shiny.R
+++ b/R/shiny.R
@@ -26,7 +26,7 @@ plotlyOutput <- function(outputId, width = "100%", height = "400px") {
renderPlotly <- function(expr, env = parent.frame(), quoted = FALSE) {
if (!quoted) { expr <- substitute(expr) } # force quoted
# https://github.com/ramnathv/htmlwidgets/issues/166#issuecomment-153000306
- expr <- call("as.widget", expr)
+ #expr <- call("plotly_build", expr)
shinyRenderWidget(expr, plotlyOutput, env, quoted = TRUE)
}
diff --git a/R/style.R b/R/style.R
new file mode 100644
index 0000000000..88524e3d27
--- /dev/null
+++ b/R/style.R
@@ -0,0 +1,32 @@
+
+#' Modify trace(s)
+#'
+#' Modify trace(s) of an existing plotly visualization. Useful when used in
+#' conjunction with \code{\link{get_figure}()}.
+#'
+#' @param p A plotly visualization.
+#' @param ... Visual properties.
+#' @param traces numeric vector. Which traces should be modified?
+#' @seealso \code{\link{get_figure}()}
+#' @author Carson Sievert
+#' @export
+#' @examples
+#'
+#' p <- qplot(data = mtcars, wt, mpg, geom = c("point", "smooth"))
+#' # keep the hover info for points, but remove it for the line/ribbon
+#' style(p, hoverinfo = "none", traces = c(2, 3))
+#'
+style <- function(p, ..., traces = 1) {
+ p <- plotly_build(p)
+ nTraces <- length(p$x$data)
+ idx <- traces > nTraces
+ traces <- traces[!idx]
+ if (any(idx)) warning("You've referenced non-existent traces", call. = FALSE)
+ argz <- list(...)
+ for (i in traces) {
+ for (j in names(argz)) {
+ p$x$data[[i]][[j]] <- argz[[j]]
+ }
+ }
+ p
+}
diff --git a/R/subplots.R b/R/subplots.R
index c3fd97b357..d14bfe0ca6 100644
--- a/R/subplots.R
+++ b/R/subplots.R
@@ -38,7 +38,7 @@ subplot <- function(..., nrows = 1, widths = NULL, heights = NULL, margin = 0.02
dotz <- dotz[[1]]
}
# build each plot
- plotz <- lapply(dotz, plotly_build)
+ plotz <- lapply(dotz, function(d) plotly_build(d)$x)
# ensure "axis-reference" trace attributes are properly formatted
# TODO: should this go inside plotly_build()?
plotz <- lapply(plotz, function(p) {
@@ -218,7 +218,7 @@ subplot <- function(..., nrows = 1, widths = NULL, heights = NULL, margin = 0.02
# start merging the plots into a single subplot
p <- list(
data = Reduce(c, traces),
- layout = Reduce(modifyList, c(xAxes, rev(yAxes)))
+ layout = Reduce(modify_list, c(xAxes, rev(yAxes)))
)
# reposition shapes and annotations
annotations <- Map(reposition, annotations, split(domainInfo, seq_along(plots)))
@@ -235,10 +235,8 @@ subplot <- function(..., nrows = 1, widths = NULL, heights = NULL, margin = 0.02
}
layouts <- layouts[which_layout]
}
- p$layout <- c(p$layout, Reduce(modifyList, layouts))
-
- res <- hash_plot(data.frame(), p)
- prefix_class(res, "plotly_subplot")
+ p$layout <- c(p$layout, Reduce(modify_list, layouts))
+ as_widget(p)
}
diff --git a/R/sysdata.rda b/R/sysdata.rda
new file mode 100644
index 0000000000..66b49a4434
Binary files /dev/null and b/R/sysdata.rda differ
diff --git a/R/toRGB.R b/R/toRGB.R
index f99fb82bb6..2049b7df64 100644
--- a/R/toRGB.R
+++ b/R/toRGB.R
@@ -4,7 +4,7 @@
#' @return hexadecimal colour value (if is.na(x), return "transparent" for compatibility with Plotly)
#' @export
toRGB <- function(x, alpha = 1) {
- if (is.null(x)) return(x)
+ if (length(x) == 0) return(x)
if (any(x %in% "transparent")) return(x)
# add alpha to already converted "rgb(x,y,z)" codes
idx <- grepl("^rgba\\(", x) & alpha <= 1 & 0 <= alpha
@@ -24,6 +24,7 @@ toRGB <- function(x, alpha = 1) {
)
rgb_matrix["alpha", ] <- round(rgb_matrix["alpha", ], 4)
rgba <- sprintf("rgba(%s)", apply(rgb_matrix, 2, paste, collapse = ","))
+
rgba[is.na(x)] <- "transparent"
rgba
}
diff --git a/R/utils.R b/R/utils.R
index ab838f958a..acab4d56d0 100644
--- a/R/utils.R
+++ b/R/utils.R
@@ -1,82 +1,301 @@
is.plotly <- function(x) {
- inherits(x, c("plotly_hash", "plotly_built", "plotly_subplot"))
+ inherits(x, "plotly")
}
-"%||%" <- function(x, y) {
- if (length(x) > 0 || is_blank(x)) x else y
+is.formula <- function(f) {
+ inherits(f, "formula")
}
-# modify %||% so that NA is considered NULL
-"%|x|%" <- function(x, y) {
- if (length(x) == 1) {
- if (is.na(x)) x <- NULL
- }
- x %||% y
+is.colorbar <- function(tr) {
+ inherits(tr, "plotly_colorbar")
}
-strextract <- function(str, pattern) {
- regmatches(str, regexpr(pattern, str))
+"%||%" <- function(x, y) {
+ if (length(x) > 0 || is_blank(x)) x else y
}
compact <- function(x) {
Filter(Negate(is.null), x)
}
+modify_list <- function(x, y, ...) {
+ modifyList(x %||% list(), y %||% list(), ...)
+}
+
is.discrete <- function(x) {
is.factor(x) || is.character(x) || is.logical(x)
}
-# special enviroment that enables NSE
-plotlyEnv <- new.env(parent = emptyenv())
-
-# hash plot info, assign it to the special plotly environment, & attach it to data
-hash_plot <- function(df, p) {
- if (missing(df) || is.null(df)) df <- data.frame()
- hash <- digest::digest(p)
- # terrible hack to ensure we can always find the most recent hash
- hash <- paste(hash, length(ls(plotlyEnv)), sep = "#")
- assign(hash, p, envir = plotlyEnv)
- attr(df, "plotly_hash") <- hash
- # add plotly class mainly for printing method
- class(df) <- unique(c("plotly_hash", class(df)))
- # return a data frame to be compatible with things like dplyr
- df
-}
-
-#' Obtain underlying data of plotly object
-#'
-#' Given a data frame with a class of plotly, this function returns the arguments
-#' and/or data used to create the plotly. If no data frame is provided,
-#' the last plotly object created in this R session is returned (if it exists).
-#'
-#' @param data a data frame with a class of plotly (and a plotly_hash attribute).
-#' @param last if no plotly attribute is found, return the last plot or NULL?
-get_plot <- function(data = NULL, last = FALSE) {
- hash <- attr(data, "plotly_hash")
- if (!is.null(hash)) {
- get(hash, envir = plotlyEnv)
- } else if (last) {
- envs <- strsplit(ls(plotlyEnv), "#")
- last_env <- ls(plotlyEnv)[which.max(sapply(envs, "[[", 2))]
- get(last_env, envir = plotlyEnv)
- } else {
- data %||% list()
+deparse2 <- function(x) {
+ if (is.null(x) || !is.language(x)) return(NULL)
+ sub("^~", "", paste(deparse(x, 500L), collapse = ""))
+}
+
+new_id <- function() {
+ basename(tempfile(""))
+}
+
+names2 <- function(x) {
+ names(x) %||% rep("", length(x))
+}
+
+# currently implemented non-positional scales in plot_ly()
+npscales <- function() {
+ c("color", "symbol", "linetype", "size")
+}
+
+# modifyList turns elements that are data.frames into lists
+# which changes the behavior of toJSON
+as_df <- function(x) {
+ if (is.null(x) || is.matrix(x)) return(x)
+ if (is.list(x) && !is.data.frame(x)) {
+ setNames(as.data.frame(x), NULL)
+ }
+}
+
+# make sure plot attributes adhere to the plotly.js schema
+verify_attr_names <- function(p) {
+ # some layout attributes (e.g., [x-y]axis can have trailing numbers)
+ check_attrs(
+ sub("[0-9]+$", "", names(p$x$layout)),
+ c(names(Schema$layout$layoutAttributes), c("barmode", "bargap"))
+ )
+ for (tr in seq_along(p$x$data)) {
+ thisTrace <- p$x$data[[tr]]
+ validAttrs <- Schema$traces[[thisTrace$type %||% "scatter"]]$attributes
+ check_attrs(names(thisTrace), c(names(validAttrs), "key"))
+ }
+ invisible(p)
+}
+
+check_attrs <- function(proposedAttrs, validAttrs) {
+ illegalAttrs <- setdiff(proposedAttrs, validAttrs)
+ if (length(illegalAttrs)) {
+ warning("The following attributes don't exist:\n'",
+ paste(illegalAttrs, collapse = "', '"), "'\n",
+ "Valid options include:\n'",
+ paste(validAttrs, collapse = "', '"), "'\n",
+ call. = FALSE)
}
+ invisible(proposedAttrs)
}
-#' Retrive and create the last plotly (or ggplot).
-#'
-#' @seealso \link{plotly_build}
-#' @param data (optional) a data frame with a class of plotly (and a plotly_hash attribute).
-#' @export
-last_plot <- function(data = NULL) {
- p <- try(get_plot(data, last = TRUE), silent = TRUE)
- if (inherits(p, "try-error")) p <- try(ggplotly(), silent = TRUE)
- if (inherits(p, "try-error")) stop("The last plot doesn't exist")
- structure(
- p,
- class = unique(c("plotly_hash", class(p)))
+# ensure both the layout and trace attributes are sent to plotly.js
+# as data_arrays
+verify_boxed <- function(p) {
+ if (!is.null(p$x$layout)) {
+ layoutNames <- names(p$x$layout)
+ layoutNew <- verify_box(
+ setNames(p$x$layout, sub("[0-9]+$", "", layoutNames)),
+ Schema$layout$layoutAttributes
+ )
+ p$x$layout <- setNames(layoutNew, layoutNames)
+ }
+ for (tr in seq_along(p$x$data)) {
+ thisTrace <- p$x$data[[tr]]
+ validAttrs <- Schema$traces[[thisTrace$type %||% "scatter"]]$attributes
+ p$x$data[[tr]] <- verify_box(thisTrace, validAttrs)
+ }
+ p
+}
+
+verify_box <- function(proposed, schema) {
+ for (attr in names(proposed)) {
+ attrVal <- proposed[[attr]]
+ attrSchema <- schema[[attr]]
+ isArray <- tryCatch(
+ identical(attrSchema[["valType"]], "data_array"),
+ error = function(e) FALSE
+ )
+ isObject <- tryCatch(
+ identical(attrSchema[["role"]], "object"),
+ error = function(e) FALSE
+ )
+ if (isArray) {
+ proposed[[attr]] <- i(attrVal)
+ }
+ # we don't have to go more than two-levels, right?
+ if (isObject) {
+ for (attr2 in names(attrVal)) {
+ isArray2 <- tryCatch(
+ identical(attrSchema[[attr2]][["valType"]], "data_array"),
+ error = function(e) FALSE
+ )
+ if (isArray2) {
+ proposed[[attr]][[attr2]] <- i(attrVal[[attr2]])
+ }
+ }
+ }
+ }
+ proposed
+}
+
+
+# make sure trace type is valid
+# TODO: add an argument to verify trace properties are valid (https://github.com/ropensci/plotly/issues/540)
+verify_type <- function(trace) {
+ isNULL <- is.null(trace$type)
+ if (isNULL) {
+ attrs <- names(trace)
+ attrLengths <- lengths(trace)
+ if (all(c("x", "y", "z") %in% attrs)) {
+ trace$type <- if (all(c("i", "j", "k") %in% attrs)) "mesh3d" else "scatter3d"
+ } else if (all(c("x", "y") %in% attrs)) {
+ if (!is.discrete(trace$x) && !is.discrete(trace$y)) {
+ trace$type <- if (any(attrLengths) > 15000) "scattergl" else "scatter"
+ } else if (!is.discrete(trace$x)) {
+ trace$type <- "bar"
+ trace$orientation <- "h"
+ } else if (!is.discrete(trace$y)) {
+ trace$type <- "bar"
+ } else {
+ trace$type <- "histogram2d"
+ }
+ } else if ("y" %in% attrs || "x" %in% attrs) {
+ trace$type <- "histogram"
+ } else if ("z" %in% attrs) {
+ trace$type <- "heatmap"
+ } else {
+ warning("No trace type specified and no positional attributes specified",
+ call. = FALSE)
+ trace$type <- "scatter"
+ }
+ }
+ if (!is.character(trace$type) || length(trace$type) != 1) {
+ stop("The trace type must be a character vector of length 1.\n",
+ call. = FALSE)
+ }
+ if (!trace$type %in% names(Schema$traces)) {
+ stop("Trace type must be one of the following: \n",
+ "'", paste(names(Schema$traces), collapse = "', '"), "'",
+ call. = FALSE)
+ }
+ # if scatter/scatter3d/scattergl, default to a scatterplot
+ if (grepl("scatter", trace$type)) {
+ trace$mode <- trace$mode %||% "markers"
+ }
+ if (isNULL) relay_type(trace$type, trace$mode)
+ trace
+}
+
+relay_type <- function(type, mode = NULL) {
+ message(
+ "No trace type specified. Applying `add_", mode %||% type, "()`.\n",
+ "Read more about this trace type here -> https://plot.ly/r/reference/#", type
)
+ type
+}
+
+verify_mode <- function(p) {
+ for (tr in seq_along(p$x$data)) {
+ trace <- p$x$data[[tr]]
+ if (grepl("scatter", trace$type %||% "scatter")) {
+ if (!is.null(trace$marker) && !grepl("markers", trace$mode %||% "")) {
+ message(
+ "A marker object has been specified, but markers is not in the mode\n",
+ "Adding markers to the mode..."
+ )
+ p$x$data[[tr]]$mode <- paste0(p$x$data[[tr]]$mode, "+markers")
+ }
+ if (!is.null(trace$line) && !grepl("lines", trace$mode %||% "")) {
+ message(
+ "A line object has been specified, but lines is not in the mode\n",
+ "Adding lines to the mode..."
+ )
+ p$x$data[[tr]]$mode <- paste0(p$x$data[[tr]]$mode, "+lines")
+ }
+ if (!is.null(trace$textfont) && !grepl("text", trace$mode %||% "")) {
+ warning(
+ "A textfont object has been specified, but text is not in the mode\n",
+ "Adding text to the mode..."
+ )
+ p$x$data[[tr]]$mode <- paste0(p$x$data[[tr]]$mode, "+text")
+ }
+ }
+ }
+ p
+}
+
+verify_arrays <- function(p) {
+ for (i in c("annotations", "shapes")) {
+ thing <- p$x$layout[[i]]
+ if (is.list(thing) && !is.null(names(thing))) {
+ p$x$layout[[i]] <- list(thing)
+ }
+ }
+ p
+}
+
+verify_hovermode <- function(p) {
+ if (!is.null(p$x$layout$hovermode)) {
+ return(p)
+ }
+ types <- unlist(lapply(p$x$data, function(tr) tr$type %||% "scatter"))
+ modes <- unlist(lapply(p$x$data, function(tr) tr$mode %||% "lines"))
+ if (any(grepl("markers", modes) & types == "scatter")) {
+ p$x$layout$hovermode <- "closest"
+ }
+ p
+}
+
+verify_webgl <- function(p) {
+ # see toWebGL
+ if (!isTRUE(p$x$.plotlyWebGl)) {
+ return(p)
+ }
+ types <- sapply(p$x$data, function(x) x[["type"]][1] %||% "scatter")
+ idx <- paste0(types, "gl") %in% names(Schema$traces)
+ if (any(!idx)) {
+ warning(
+ "The following traces don't have a WebGL equivalent: ",
+ paste(which(!idx), collapse = ", ")
+ )
+ }
+ for (i in which(idx)) {
+ p$x$data[[i]]$type <- paste0(p$x$data[[i]]$type, "gl")
+ }
+ p
+}
+
+has_marker <- function(types, modes) {
+ is_scatter <- grepl("scatter", types)
+ ifelse(is_scatter, grepl("marker", modes), has_attr(types, "marker"))
+}
+
+has_line <- function(types, modes) {
+ is_scatter <- grepl("scatter", types)
+ ifelse(is_scatter, grepl("line", modes), has_attr(types, "line"))
+}
+
+has_text <- function(types, modes) {
+ is_scatter <- grepl("scatter", types)
+ ifelse(is_scatter, grepl("text", modes), has_attr(types, "textfont"))
+}
+
+has_attr <- function(types, attr = "marker") {
+ if (length(attr) != 1) stop("attr must be of length 1")
+ vapply(types, function(x) attr %in% names(Schema$traces[[x]]$attributes), logical(1))
+}
+
+has_legend <- function(p) {
+ showLegend <- function(tr) {
+ tr$showlegend %||% TRUE
+ }
+ any(vapply(p$x$data, showLegend, logical(1))) &&
+ isTRUE(p$x$layout$showlegend %||% TRUE)
+}
+
+has_colorbar <- function(p) {
+ isVisibleBar <- function(tr) {
+ is.colorbar(tr) && isTRUE(tr$showscale %||% TRUE)
+ }
+ any(vapply(p$x$data, isVisibleBar, logical(1)))
+}
+
+# is a given trace type 3d?
+is3d <- function(type = NULL) {
+ type <- type %||% "scatter"
+ type %in% c("mesh3d", "scatter3d", "surface")
}
# Check for credentials/configuration and throw warnings where appropriate
@@ -126,51 +345,6 @@ from_JSON <- function(x, ...) {
jsonlite::fromJSON(x, simplifyDataFrame = FALSE, simplifyMatrix = FALSE, ...)
}
-add_boxed <- function(x) {
- for (i in seq_along(x$data)) {
- # some object keys require an array, even if length one
- # one way to ensure atomic vectors of length 1 are not automatically unboxed,
- # by to_JSON(), is to attach a class of AsIs (via I())
- d <- x$data[[i]]
- idx <- names(d) %in% get_boxed(d$type %||% "scatter") & sapply(d, length) == 1
- if (any(idx)) x$data[[i]][idx] <- lapply(d[idx], I)
- # (safely) mark individual nested properties
- x$data[[i]]$error_x$array <- i(d$error_x$array)
- x$data[[i]]$error_y$array <- i(d$error_y$array)
- x$data[[i]]$error_x$arrayminus <- i(d$error_x$arrayminus)
- x$data[[i]]$error_y$arrayminus <- i(d$error_y$arrayminus)
- }
- axes <- grep("^[x-y]axis", names(x$layout))
- for (ax in axes) {
- x$layout[[ax]]$ticktext <- i(x$layout[[ax]]$ticktext)
- x$layout[[ax]]$tickvals <- i(x$layout[[ax]]$tickvals)
- }
- x
-}
-
-# plotlyjs properties that must _always_ be an array (even if length 1)
-get_boxed <- function(type = "scatter") {
- # if the trace type isn't found, provide some sensible defaults
- boxers[[type]] %||% c("x", "y", "z", "lat", "lon", "text", "locations")
-}
-
-# if this ever needs updating see
-# https://github.com/ropensci/plotly/issues/415#issuecomment-173353138
-boxers <- list(
- choropleth = c("locations", "z", "text"),
- box = c("x", "y"),
- heatmap = c("z", "text"),
- histogram = c("x", "y"),
- histogram2d = c("z", "color"),
- mesh3d = c("x", "y", "z", "i", "j", "k", "intensity", "vertexcolor", "facecolor"),
- # TODO: what to do about marker.colors?
- pie = c("labels", "values", "text"),
- scatter = c("x", "y", "r", "t"),
- scatter3d = c("x", "y", "z"),
- scattergeo = c("lon", "lat", "locations"),
- surface = c("x", "y", "z", "text")
-)
-
i <- function(x) {
if (is.null(x)) {
return(NULL)
@@ -249,24 +423,6 @@ plotly_headers <- function(type = "main") {
}
-perform_eval <- function(x) {
- if (should_eval(x)) do_eval(x) else x
-}
-
-# env/enclos are special properties specific to the R API
-# if they appear _and_ are environments, then evaluate arguments
-# (sometimes figures return these properties but evaluation doesn't make sense)
-should_eval <- function(x) {
- any(vapply(x[c("env", "enclos")], is.environment, logical(1)))
-}
-
-# perform evaluation of arguments, keeping other list elements
-do_eval <- function(x) {
- y <- c(x, eval(x$args, as.list(x$env, all.names = TRUE), x$enclos))
- y[c("args", "env", "enclos")] <- NULL
- y
-}
-
# try to write environment variables to an .Rprofile
cat_profile <- function(key, value, path = "~") {
r_profile <- file.path(normalizePath(path, mustWork = TRUE),
diff --git a/README.md b/README.md
index dea425f831..322c106e94 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
# plotly
-An R package for creating interactive web graphics via [plotly.js](https://github.com/plotly/plotly.js).
+An R package for creating interactive web graphics via the open source JavaScript graphing library [plotly.js](https://github.com/plotly/plotly.js).
## Installation
@@ -34,21 +34,21 @@ ggplotly(g)
-If you'd like to see how `ggplotly()` does in converting different ggplot2 examples, we host a [plotly version](http://ropensci.github.io/plotly/) of the [official ggplot2 documentation](http://docs.ggplot2.org). We also have some of our own examples [here](https://plot.ly/ggplot2/).
+If you'd like to see how `ggplotly()` does in converting different ggplot2 examples, we host a [plotly version](http://ropensci.github.io/plotly/ggplot2/) of the [official ggplot2 documentation](http://docs.ggplot2.org). We also have some of our own examples [here](https://plot.ly/ggplot2/).
### plotly's custom R interface
-__plotly__ supports some chart types that ggplot2 doesn't (such as 3D [surface](https://plot.ly/r/3d-surface-plots/), [point](https://plot.ly/r/3d-scatter-plots/), and [line](https://plot.ly/r/3d-line-plots/) plots). You can create these (or any other plotly) charts using `plot_ly()`.
+[plotly.js](https://github.com/plotly/plotly.js) supports some chart types that ggplot2 doesn't (our [cheatsheet](https://images.plot.ly/plotly-documentation/images/r_cheat_sheet.pdf) provides a nice summary of the available chart types). You can create any of these charts via `plot_ly()`.
```r
-plot_ly(z = volcano, type = "surface")
+plot_ly(z = ~volcano)
```
-For a more concise overview of the `plot_ly()` interface, see [here](https://cran.r-project.org/web/packages/plotly/vignettes/intro.html). You might also find our [examples](https://plot.ly/r/#basic-charts) and the [figure reference](https://plot.ly/r/reference/) to be helpful.
+We have a number of [vignettes](https://ropensci.github.io/plotly/) which explain the `plot_ly()` interface in depth as well as numerous examples on the [plotly website](https://plot.ly/r/#basic-charts) and [bundled with the package](https://github.com/ropensci/plotly/tree/master/inst/examples).
-### Hooking onto plotly events
+### Capturing plotly events
[plotly.js](https://github.com/plotly/plotly.js) exposes a number of 'standard' events that work consistently across plot types. It's easy to hook into these events using the `event_data()` function in shiny apps, as these examples demonstrate:
@@ -58,7 +58,7 @@ For a more concise overview of the `plot_ly()` interface, see [here](https://cra
-You can also hook into these events without shiny using `htmlwidgets::onRender()` ([example](https://github.com/ropensci/plotly/tree/master/inst/examples/onRenderHover)). This, however, requires JavaScript knowledge and makes it much harder, if not impossible, to coordinate views between htmlwidgets.
+You can also hook into these events without shiny using `htmlwidgets::onRender()` ([example](https://github.com/ropensci/plotly/tree/master/inst/examples/onRenderHover)). This, however, requires JavaScript knowledge and makes it much harder to coordinate views between htmlwidgets.
## Contributing
diff --git a/inst/arguments.R b/inst/arguments.R
deleted file mode 100644
index 2df5e5340a..0000000000
--- a/inst/arguments.R
+++ /dev/null
@@ -1,180 +0,0 @@
-# This script grabs argument names from plotly documentation and provides some
-# convenience functions for translating all those arguments to the R package
-
-library(rvest)
-ref <- read_html("https://plot.ly/javascript-graphing-library/reference")
-# complete set of args
-argz <- ref %>% html_nodes(".gamma .link--impt") %>% html_text() %>%
- gsub("\\n", "", .) %>% stringr::str_trim()
-
-
-# function arguments
-fun_args <- function(x) paste(x, "= NULL", collapse = ", ")
-# argument documentation (put inside @param)
-doc_args <- function(x) paste(x, collapse = ", ")
-# put inside function body
-in_args <- function(x) paste(x, "=", x, collapse = ", ")
-
-# scatter args
-fun_args(argz[1:24])
-doc_args(argz[1:24])
-in_args(argz[1:24])
-
-# bar args
-fun_args(argz[26:43])
-doc_args(argz[26:43])
-in_args(argz[26:43])
-
-# histogram args
-fun_args(argz[45:68])
-doc_args(argz[45:68])
-in_args(argz[45:68])
-
-# box args
-fun_args(argz[70:89])
-doc_args(argz[70:89])
-in_args(argz[70:89])
-
-# heatmap args
-fun_args(argz[91:116])
-doc_args(argz[91:116])
-in_args(argz[91:116])
-
-# contour args
-fun_args(argz[118:145])
-doc_args(argz[118:145])
-in_args(argz[118:145])
-
-# histogram2d args
-fun_args(argz[147:173])
-doc_args(argz[147:173])
-in_args(argz[147:173])
-
-# histogram2dcontour args
-fun_args(argz[175:204])
-doc_args(argz[175:204])
-in_args(argz[175:204])
-
-# area args
-fun_args(argz[206:214])
-doc_args(argz[206:214])
-in_args(argz[206:214])
-
-# scatter3d args
-fun_args(argz[216:230])
-doc_args(argz[216:230])
-in_args(argz[216:230])
-
-# surface args
-fun_args(argz[232:240])
-doc_args(argz[232:240])
-in_args(argz[232:240])
-
-# ----------------------------------------------------------------------
-# Trace auxiliary objects (in R/aux.R)
-# ----------------------------------------------------------------------
-
-# error_y args
-fun_args(argz[241:251])
-doc_args(argz[241:251])
-in_args(argz[241:251])
-
-# error_x args
-fun_args(argz[252:263])
-doc_args(argz[252:263])
-in_args(argz[252:263])
-
-# xbins args
-fun_args(argz[264:266])
-doc_args(argz[264:266])
-in_args(argz[264:266])
-
-# ybins args
-fun_args(argz[267:269])
-doc_args(argz[267:269])
-in_args(argz[267:269])
-
-# marker args
-fun_args(argz[270:282])
-doc_args(argz[270:282])
-in_args(argz[270:282])
-
-# line args
-fun_args(argz[283:290])
-doc_args(argz[283:290])
-in_args(argz[283:290])
-
-# contour args
-fun_args(argz[291:295])
-doc_args(argz[291:295])
-in_args(argz[291:295])
-
-# colorbar args
-fun_args(argz[296:326])
-doc_args(argz[296:326])
-in_args(argz[296:326])
-
-# stream args
-fun_args(argz[327:328])
-doc_args(argz[327:328])
-in_args(argz[327:328])
-
-# error_z args
-fun_args(argz[329:339])
-doc_args(argz[329:339])
-in_args(argz[329:339])
-
-# ----------------------------------------------------------------------
-# Axis objects (in R/axis.R)
-# ----------------------------------------------------------------------
-
-# xaxis/yaxis/zaxis args are identical
-x <- fun_args(argz[340:378])
-y <- fun_args(argz[379:417])
-z <- fun_args(argz[444:482])
-identical(x, y) && identical(y, z)
-
-x
-doc_args(argz[340:378])
-in_args(argz[340:378])
-
-
-# radialaxis/angularaxis args
-fun_args(argz[418:437])
-doc_args(argz[418:437])
-in_args(argz[418:437])
-
-# scene args
-fun_args(argz[438:443])
-doc_args(argz[438:443])
-in_args(argz[438:443])
-
-
-# ----------------------------------------------------------------------
-# Layout objects (in R/layout.R)
-# ----------------------------------------------------------------------
-
-# layout args
-fun_args(argz[483:512])
-doc_args(argz[483:512])
-in_args(argz[483:512])
-
-# font args
-fun_args(argz[513:516])
-doc_args(argz[513:516])
-in_args(argz[513:516])
-
-# legend args
-fun_args(argz[517:527])
-doc_args(argz[517:527])
-in_args(argz[517:527])
-
-# annotation args
-fun_args(argz[528:549])
-doc_args(argz[528:549])
-in_args(argz[528:549])
-
-# margin args
-fun_args(argz[550:557])
-doc_args(argz[550:557])
-in_args(argz[550:557])
diff --git a/inst/docs.R b/inst/docs.R
index 1dc2137e5c..413a810494 100644
--- a/inst/docs.R
+++ b/inst/docs.R
@@ -440,7 +440,7 @@ g2 <- c(
plot_ly(df, type = 'scattergeo', mode = 'markers', locations = Country,
locationmode = 'country names', text = paste(Value, "cases"),
- color = as.ordered(abbrev), marker = list(size = Value/50), inherit = F) %>%
+ color = as.ordered(abbrev), marker = list(size = Value/50)) %>%
add_trace(type = 'scattergeo', mode = 'text', geo = 'geo2', showlegend = F,
lon = 21.0936, lat = 7.1881, text = 'Africa') %>%
add_trace(type = 'choropleth', locations = Country, locationmode = 'country names',
@@ -470,8 +470,7 @@ geo <- list(
)
plot_ly(air, lon = long, lat = lat, text = airport, type = 'scattergeo',
- locationmode = 'USA-states', marker = list(size = 2, color = 'red'),
- inherit = FALSE) %>%
+ locationmode = 'USA-states', marker = list(size = 2, color = 'red')) %>%
add_trace(lon = list(start_lon, end_lon), lat = list(start_lat, end_lat),
group = id, opacity = cnt/max(cnt), data = flights,
mode = 'lines', line = list(width = 1, color = 'red'),
diff --git a/inst/examples/Movies/server.R b/inst/examples/Movies/server.R
index 779db302ac..343a42cb24 100644
--- a/inst/examples/Movies/server.R
+++ b/inst/examples/Movies/server.R
@@ -12,7 +12,7 @@ shinyServer(function(input, output) {
size <- (maxx - minx) / input$bins
# a simple histogram of movie ratings
- p <- plot_ly(movies, x = rating, autobinx = F, type = "histogram",
+ p <- plot_ly(movies, x = ~rating, autobinx = F, type = "histogram",
xbins = list(start = minx, end = maxx, size = size))
# style the xaxis
layout(p, xaxis = list(title = "Ratings", range = c(minx, maxx), autorange = F,
diff --git a/inst/examples/UN_Advanced/server.R b/inst/examples/UN_Advanced/server.R
index 8e255b8054..27f127d282 100644
--- a/inst/examples/UN_Advanced/server.R
+++ b/inst/examples/UN_Advanced/server.R
@@ -22,38 +22,18 @@ shinyServer(function(input, output, session) {
graph_title <- paste("Ideal Points for ", j_names, sep="")
ggideal_point <- ggplot(df_trend) +
- geom_line(aes(x = Year, y = Ideal.point, by = Name, color = Name)) +
+ geom_line(aes(x = Year, y = Ideal.point, color = Name)) +
labs(x = "Year", y = "Ideology", title = graph_title) +
scale_colour_hue("clarity", l = 70, c = 150) + ggthemes::theme_few() +
- theme(legend.direction = "horizontal", legend.position = "bottom")
+ theme(legend.position = "none")
# Convert ggplot object to plotly
- gg <- plotly_build(ggideal_point)
-
- # Use Plotly syntax to further edit the plot:
- gg$layout$annotations <- NULL # Remove the existing annotations (the legend label)
- gg$layout$annotations <- list()
-
- # Add colored text annotations next to the end of each line
- # More about plotly annotations: https://plot.ly/r/reference/#annotation
- # Each key that we update is documented in that link above.
- for (i in 1:length(gg$data)) { # data is a list of the lines in the graph
- gg$layout$annotations[[i]] <- list(
- text = gg$data[[i]]$name, # The text label of the annotation, e.g. "Canada"
- font = list(color = gg$data[[i]]$line$color), # Match the font color to the line color
- showarrow = FALSE, # Don't show the annotation arrow
- y = gg$data[[i]]$y[[length(gg$data[[i]]$y)]], # set the y position of the annotation to the last point of the line
- yref = "y1", # the "y" coordinates above are with respect to the yaxis
- x = 1, # set the x position of the graph to the right hand side of the graph
- xref = "paper", # the x coordinates are with respect to the "paper", where 1 means the right hand side of the graph and 0 means the left hand side
- xanchor = "left" # position the x coordinate with respect to the left of the text
- );
- }
-
- gg$layout$showlegend <- FALSE # remove the legend
- gg$layout$margin$r <- 170 # increase the size of the right margin to accommodate more room for the annotation labels
- gg
-
+ ggplotly(ggideal_point) %>%
+ layout(
+ showlegend = FALSE,
+ # increase the size of the right margin to accommodate more room for the annotation labels
+ margin = list(r = 170)
+ )
}
})
diff --git a/inst/examples/UN_Simple/server.R b/inst/examples/UN_Simple/server.R
index 3c99f90ca4..61746c41b5 100644
--- a/inst/examples/UN_Simple/server.R
+++ b/inst/examples/UN_Simple/server.R
@@ -10,7 +10,7 @@ shinyServer(function(input, output, session) {
} else {
df_trend <- ideal[ideal$Name == input$name, ]
ggplot(df_trend) +
- geom_line(aes(x = Year, y = Ideal.point, by = Name, color = Name)) +
+ geom_line(aes(x = Year, y = Ideal.point, color = Name)) +
labs(x = "Year", y = "Ideology", title = "Ideal Points for Countries") +
scale_colour_hue("clarity", l = 70, c = 150) + ggthemes::theme_few()
}
diff --git a/inst/examples/lmGadget/app.R b/inst/examples/lmGadget/app.R
index ab74a479ad..f0ea2be846 100644
--- a/inst/examples/lmGadget/app.R
+++ b/inst/examples/lmGadget/app.R
@@ -10,10 +10,11 @@ library(plotly)
#' Click on points to add/remove them from consideration
#'
#' @param dat a data.frame
-#' @param x a character string specifying the x variable
-#' @param y a character string specifying the y variable
+#' @param x a formula specifying the x variable
+#' @param y a formula specifying the y variable
+#' @param key a vector specifying unique attributes for each row
-lmGadget <- function(dat, x, y) {
+lmGadget <- function(dat, x, y, key = row.names(dat)) {
ui <- miniPage(
gadgetTitleBar("Interactive lm"),
@@ -33,6 +34,7 @@ lmGadget <- function(dat, x, y) {
init <- function() {
selected <- rep(FALSE, nrow(dat))
function(x) {
+ if (missing(x)) return(selected)
selected <<- xor(selected, x)
selected
}
@@ -40,47 +42,39 @@ lmGadget <- function(dat, x, y) {
selection <- init()
server <- function(input, output) {
-
- # obtain a subset of the data that is still under consideration
- left <- reactive({
- d <- event_data("plotly_click")
- if (!is.null(d)) {
- dat <- dat[!selection(row.names(dat) %in% d[["key"]]), ]
- }
- dat
- })
-
- # fit a model to subsetted data
- refit <- reactive({
+
+ output$plot1 <- renderPlotly({
req(input$degree)
+ d <- event_data("plotly_click")
+ selected <- selection(key %in% d[["key"]])
+ modelDat <- dat[!selected, ]
formula <- as.formula(
- sprintf("%s ~ poly(%s, degree = %s)", y, x, input$degree)
+ sprintf("%s ~ poly(%s, degree = %s)", as.character(y)[2], as.character(x)[2], input$degree)
)
- lm(formula, left())
- })
-
- output$plot1 <- renderPlotly({
- dat2 <- left()
- dat2$yhat <- as.numeric(fitted(refit()))
- # sort data by 'x' variable so we draw a line (not a path)
- dat2 <- dat2[order(dat2[, x]), ]
+ m <- lm(formula, modelDat)
+ modelDat$yhat <- as.numeric(fitted(m))
+ mcolor <- rep(toRGB("black"), NROW(dat))
+ mcolor[selected] <- toRGB("grey90")
- plot_ly(x = dat[, x], y = dat[, y], key = row.names(dat), mode = "markers",
- marker = list(color = toRGB("grey90"), size = 10)) %>%
- add_trace(x = dat2[, x], y = dat2[, y], mode = "markers",
- marker = list(color = toRGB("black"), size = 10)) %>%
- add_trace(x = dat2[, x], y = dat2$yhat, mode = "lines",
- marker = list(color = toRGB("black"))) %>%
- layout(showlegend = FALSE, xaxis = list(title = x), yaxis = list(title = y))
+ dat %>%
+ plot_ly(x = x, y = y) %>%
+ add_markers(key = key, marker = list(color = mcolor, size = 10)) %>%
+ add_lines(y = ~yhat, data = modelDat) %>%
+ layout(showlegend = FALSE)
})
# Return the most recent fitted model, when we press "done"
observeEvent(input$done, {
- stopApp(refit())
+ selected <- selection()
+ modelDat <- dat[!selected, ]
+ formula <- as.formula(
+ sprintf("%s ~ poly(%s, degree = %s)", as.character(y)[2], as.character(x)[2], input$degree)
+ )
+ stopApp(lm(formula, modelDat))
})
}
runGadget(ui, server)
}
-m <- lmGadget(mtcars, "wt", "mpg")
+m <- lmGadget(mtcars, x = ~wt, y = ~mpg)
diff --git a/inst/examples/onRenderHover/index.Rmd b/inst/examples/onRenderHover/index.Rmd
index 72265585c9..70647eb329 100644
--- a/inst/examples/onRenderHover/index.Rmd
+++ b/inst/examples/onRenderHover/index.Rmd
@@ -11,7 +11,7 @@ library(htmlwidgets)
set.seed(1056)
-nPatients <- 100
+nPatients <- 50
nVisits <- 10
df <- data.frame(
@@ -21,14 +21,15 @@ df <- data.frame(
)
c1 <- list(color = toRGB("steelblue", 0.5))
c2 <- list(color = toRGB("orange", 0.5))
-# `color=factor(uin)`` is here just to ensure we get one trace
-# for each value of uin
-p <- plot_ly(
- df, x = visit, y = fev1_perc, color = factor(uin),
- mode = "markers+lines", marker = c1, line = c2
-) %>% layout(hovermode = "closest", showlegend = FALSE)
-as.widget(p) %>%
+# The color mapping is used only to generate multiple traces
+# (which makes it easier to highlight lines on the JS side)
+# TODO: maybe provide a split_by() function to avoid this sort of hack?
+df %>%
+ plot_ly(
+ x = ~visit, y = ~fev1_perc, color = ~factor(uin), marker = c1, line = c2
+ ) %>%
+ layout(hovermode = "closest", showlegend = FALSE) %>%
onRender('
function(el, x) {
var graphDiv = document.getElementById(el.id);
diff --git a/inst/examples/plotlyEvents/app.R b/inst/examples/plotlyEvents/app.R
index a140df4666..2eba3cf16d 100644
--- a/inst/examples/plotlyEvents/app.R
+++ b/inst/examples/plotlyEvents/app.R
@@ -1,33 +1,19 @@
library(shiny)
-library(plotly)
ui <- fluidPage(
- radioButtons("plotType", "Plot Type:", choices = c("ggplotly", "plotly")),
plotlyOutput("plot"),
- verbatimTextOutput("hover"),
verbatimTextOutput("click"),
- verbatimTextOutput("brush"),
- verbatimTextOutput("zoom")
+ verbatimTextOutput("brush")
)
server <- function(input, output, session) {
output$plot <- renderPlotly({
# use the key aesthetic/argument to help uniquely identify selected observations
- key <- row.names(mtcars)
- if (identical(input$plotType, "ggplotly")) {
- p <- ggplot(mtcars, aes(x = mpg, y = wt, colour = factor(vs), key = key)) +
- geom_point()
- ggplotly(p) %>% layout(dragmode = "select")
- } else {
- plot_ly(mtcars, x = mpg, y = wt, key = key, mode = "markers") %>%
- layout(dragmode = "select")
- }
- })
-
- output$hover <- renderPrint({
- d <- event_data("plotly_hover")
- if (is.null(d)) "Hover events appear here (unhover to clear)" else d
+ mtcars %>%
+ plot_ly(x = ~mpg, y = ~wt, key = row.names(mtcars)) %>%
+ add_markers() %>%
+ layout(dragmode = "select")
})
output$click <- renderPrint({
@@ -40,11 +26,6 @@ server <- function(input, output, session) {
if (is.null(d)) "Click and drag events (i.e., select/lasso) appear here (double-click to clear)" else d
})
- output$zoom <- renderPrint({
- d <- event_data("plotly_relayout")
- if (is.null(d)) "Relayout (i.e., zoom) events appear here" else d
- })
-
}
-shinyApp(ui, server, options = list(display.mode = "showcase"))
+shinyApp(ui, server)
diff --git a/inst/examples/plotlyLinkedBrush/app.R b/inst/examples/plotlyLinkedBrush/app.R
index 24e5c075d4..aaf8c32451 100644
--- a/inst/examples/plotlyLinkedBrush/app.R
+++ b/inst/examples/plotlyLinkedBrush/app.R
@@ -72,7 +72,7 @@ server <- function(input, output, session) {
output$xy <- renderPlotly({
cars %>%
- plot_ly(x = speed, y = dist,
+ plot_ly(x = ~speed, y = ~dist,
mode = "markers", marker = m) %>%
layout(dragmode = "select")
})
diff --git a/inst/examples/plotlyLinkedClick/app.R b/inst/examples/plotlyLinkedClick/app.R
index 5167cea3d7..3f0af79789 100644
--- a/inst/examples/plotlyLinkedClick/app.R
+++ b/inst/examples/plotlyLinkedClick/app.R
@@ -40,13 +40,14 @@ server <- function(input, output, session) {
vars <- c(s[["x"]], s[["y"]])
d <- setNames(mtcars[vars], c("x", "y"))
yhat <- fitted(lm(y ~ x, data = d))
- plot_ly(d, x = x, y = y, mode = "markers") %>%
- add_trace(x = x, y = yhat, mode = "lines") %>%
+ plot_ly(d, x = ~x) %>%
+ add_markers(y = ~y) %>%
+ add_lines(y = ~yhat) %>%
layout(xaxis = list(title = s[["x"]]),
yaxis = list(title = s[["y"]]),
showlegend = FALSE)
} else {
- plot_ly()
+ plotly_empty()
}
})
diff --git a/inst/htmlwidgets/lib/plotlyjs/plotly-latest.min.js b/inst/htmlwidgets/lib/plotlyjs/plotly-latest.min.js
index 99e0f712f8..6172533e33 100644
--- a/inst/htmlwidgets/lib/plotlyjs/plotly-latest.min.js
+++ b/inst/htmlwidgets/lib/plotlyjs/plotly-latest.min.js
@@ -1,44 +1,45 @@
/**
-* plotly.js v1.10.1
+* plotly.js v1.14.1
* Copyright 2012-2016, Plotly, Inc.
* All rights reserved.
* Licensed under the MIT license
*/
-!function(t){if("object"==typeof exports&&"undefined"!=typeof module)module.exports=t();else if("function"==typeof define&&define.amd)define([],t);else{var e;e="undefined"!=typeof window?window:"undefined"!=typeof global?global:"undefined"!=typeof self?self:this,e.Plotly=t()}}(function(){var t;return function e(t,r,n){function i(o,s){if(!r[o]){if(!t[o]){var l="function"==typeof require&&require;if(!s&&l)return l(o,!0);if(a)return a(o,!0);var c=new Error("Cannot find module '"+o+"'");throw c.code="MODULE_NOT_FOUND",c}var u=r[o]={exports:{}};t[o][0].call(u.exports,function(e){var r=t[o][1][e];return i(r?r:e)},u,u.exports,e,t,r,n)}return r[o].exports}for(var a="function"==typeof require&&require,o=0;or;++r)e[r]=0;return e}function o(t,e,r){switch(arguments.length){case 0:return new i([0],[0],0);case 1:if("number"==typeof t){var n=a(t);return new i(n,n,0)}return new i(t,a(t.length),0);case 2:if("number"==typeof e){var n=a(t.length);return new i(t,n,+e)}r=0;case 3:if(t.length!==e.length)throw new Error("state and velocity lengths must match");return new i(t,e,r)}}e.exports=o;var s=t("cubic-hermite"),l=t("binary-search-bounds"),c=i.prototype;c.flush=function(t){var e=l.gt(this._time,t)-1;0>=e||(this._time.splice(0,e),this._state.splice(0,e*this.dimension),this._velocity.splice(0,e*this.dimension))},c.curve=function(t){var e=this._time,r=e.length,i=l.le(e,t),a=this._scratch[0],o=this._state,c=this._velocity,u=this.dimension,f=this.bounds;if(0>i)for(var h=u-1,d=0;u>d;++d,--h)a[d]=o[h];else if(i>=r-1)for(var h=o.length-1,p=t-e[r-1],d=0;u>d;++d,--h)a[d]=o[h]+p*c[h];else{for(var h=u*(i+1)-1,g=e[i],v=e[i+1],m=v-g||1,y=this._scratch[1],b=this._scratch[2],x=this._scratch[3],_=this._scratch[4],w=!0,d=0;u>d;++d,--h)y[d]=o[h],x[d]=c[h]*m,b[d]=o[h+u],_[d]=c[h+u]*m,w=w&&y[d]===b[d]&&x[d]===_[d]&&0===x[d];if(w)for(var d=0;u>d;++d)a[d]=y[d];else s(y,x,b,_,(t-g)/m,a)}for(var k=f[0],A=f[1],d=0;u>d;++d)a[d]=n(k[d],A[d],a[d]);return a},c.dcurve=function(t){var e=this._time,r=e.length,n=l.le(e,t),i=this._scratch[0],a=this._state,o=this._velocity,c=this.dimension;if(n>=r-1)for(var u=a.length-1,f=(t-e[r-1],0);c>f;++f,--u)i[f]=o[u];else{for(var u=c*(n+1)-1,h=e[n],d=e[n+1],p=d-h||1,g=this._scratch[1],v=this._scratch[2],m=this._scratch[3],y=this._scratch[4],b=!0,f=0;c>f;++f,--u)g[f]=a[u],m[f]=o[u]*p,v[f]=a[u+c],y[f]=o[u+c]*p,b=b&&g[f]===v[f]&&m[f]===y[f]&&0===m[f];if(b)for(var f=0;c>f;++f)i[f]=0;else{s.derivative(g,m,v,y,(t-h)/p,i);for(var f=0;c>f;++f)i[f]/=p}}return i},c.lastT=function(){var t=this._time;return t[t.length-1]},c.stable=function(){for(var t=this._velocity,e=t.length,r=this.dimension-1;r>=0;--r)if(t[--e])return!1;return!0},c.jump=function(t){var e=this.lastT(),r=this.dimension;if(!(e>t||arguments.length!==r+1)){var i=this._state,a=this._velocity,o=i.length-this.dimension,s=this.bounds,l=s[0],c=s[1];this._time.push(e,t);for(var u=0;2>u;++u)for(var f=0;r>f;++f)i.push(i[o++]),a.push(0);this._time.push(t);for(var f=r;f>0;--f)i.push(n(l[f-1],c[f-1],arguments[f])),a.push(0)}},c.push=function(t){var e=this.lastT(),r=this.dimension;if(!(e>t||arguments.length!==r+1)){var i=this._state,a=this._velocity,o=i.length-this.dimension,s=t-e,l=this.bounds,c=l[0],u=l[1],f=s>1e-6?1/s:0;this._time.push(t);for(var h=r;h>0;--h){var d=n(c[h-1],u[h-1],arguments[h]);i.push(d),a.push((d-i[o++])*f)}}},c.set=function(t){var e=this.dimension;if(!(t0;--l)r.push(n(o[l-1],s[l-1],arguments[l])),i.push(0)}},c.move=function(t){var e=this.lastT(),r=this.dimension;if(!(e>=t||arguments.length!==r+1)){var i=this._state,a=this._velocity,o=i.length-this.dimension,s=this.bounds,l=s[0],c=s[1],u=t-e,f=u>1e-6?1/u:0;this._time.push(t);for(var h=r;h>0;--h){var d=arguments[h];i.push(n(l[h-1],c[h-1],i[o++]+d)),a.push(d*f)}}},c.idle=function(t){var e=this.lastT();if(!(e>t)){var r=this.dimension,i=this._state,a=this._velocity,o=i.length-r,s=this.bounds,l=s[0],c=s[1],u=t-e;this._time.push(t);for(var 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e=t.center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),r=[].slice.call(r,0,4),a(r,r);var i=new o(r,e,Math.log(n));return i.setDistanceLimits(t.zoomMin,t.zoomMax),("eye"in t||"up"in t)&&i.lookAt(0,t.eye,t.center,t.up),i}e.exports=s;var l=t("filtered-vector"),c=t("gl-mat4/lookAt"),u=t("gl-mat4/fromQuat"),f=t("gl-mat4/invert"),h=t("./lib/quatFromFrame"),d=o.prototype;d.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},d.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;a(e,e);var r=this.computedMatrix;u(r,e);var n=this.computedCenter,i=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);i[0]=n[0]+s*r[2],i[1]=n[1]+s*r[6],i[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;3>l;++l){for(var c=0,f=0;3>f;++f)c+=r[l+4*f]*i[f];r[12+l]=-c}},d.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;16>n;++n)e[n]=r[n];return e}return r},d.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},d.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},d.pan=function(t,e,r,i){e=e||0,r=r||0,i=i||0,this.recalcMatrix(t);var a=this.computedMatrix,o=a[1],s=a[5],l=a[9],c=n(o,s,l);o/=c,s/=c,l/=c;var u=a[0],f=a[4],h=a[8],d=u*o+f*s+h*l;u-=o*d,f-=s*d,h-=l*d;var p=n(u,f,h);u/=p,f/=p,h/=p;var g=a[2],v=a[6],m=a[10],y=g*o+v*s+m*l,b=g*u+v*f+m*h;g-=y*o+b*u,v-=y*s+b*f,m-=y*l+b*h;var x=n(g,v,m);g/=x,v/=x,m/=x;var _=u*e+o*r,w=f*e+s*r,k=h*e+l*r;this.center.move(t,_,w,k);var A=Math.exp(this.computedRadius[0]);A=Math.max(1e-4,A+i),this.radius.set(t,Math.log(A))},d.rotate=function(t,e,r,a){this.recalcMatrix(t),e=e||0,r=r||0;var o=this.computedMatrix,s=o[0],l=o[4],c=o[8],u=o[1],f=o[5],h=o[9],d=o[2],p=o[6],g=o[10],v=e*s+r*u,m=e*l+r*f,y=e*c+r*h,b=-(p*y-g*m),x=-(g*v-d*y),_=-(d*m-p*v),w=Math.sqrt(Math.max(0,1-Math.pow(b,2)-Math.pow(x,2)-Math.pow(_,2))),k=i(b,x,_,w);k>1e-6?(b/=k,x/=k,_/=k,w/=k):(b=x=_=0,w=1);var A=this.computedRotation,M=A[0],T=A[1],E=A[2],L=A[3],S=M*w+L*b+T*_-E*x,C=T*w+L*x+E*b-M*_,z=E*w+L*_+M*x-T*b,P=L*w-M*b-T*x-E*_;if(a){b=d,x=p,_=g;var R=Math.sin(a)/n(b,x,_);b*=R,x*=R,_*=R,w=Math.cos(e),S=S*w+P*b+C*_-z*x,C=C*w+P*x+z*b-S*_,z=z*w+P*_+S*x-C*b,P=P*w-S*b-C*x-z*_}var O=i(S,C,z,P);O>1e-6?(S/=O,C/=O,z/=O,P/=O):(S=C=z=0,P=1),this.rotation.set(t,S,C,z,P)},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var i=this.computedMatrix;c(i,e,r,n);var o=this.computedRotation;h(o,i[0],i[1],i[2],i[4],i[5],i[6],i[8],i[9],i[10]),a(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var s=0,l=0;3>l;++l)s+=Math.pow(r[l]-e[l],2);this.radius.set(t,.5*Math.log(Math.max(s,1e-6))),this.center.set(t,r[0],r[1],r[2])},d.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},d.setMatrix=function(t,e){var r=this.computedRotation;h(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),a(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;f(n,e);var i=n[15];if(Math.abs(i)>1e-6){var o=n[12]/i,s=n[13]/i,l=n[14]/i;this.recalcMatrix(t);var c=Math.exp(this.computedRadius[0]);this.center.set(t,o-n[2]*c,s-n[6]*c,l-n[10]*c),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},d.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},d.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-(1/0),e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},d.getDistanceLimits=function(t){var e=this.radius.bounds;
-return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},d.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},d.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{"./lib/quatFromFrame":36,"filtered-vector":20,"gl-mat4/fromQuat":93,"gl-mat4/invert":96,"gl-mat4/lookAt":97}],38:[function(t,e,r){"use strict";function n(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function i(t){return Math.min(1,Math.max(-1,t))}function a(t){var e=Math.abs(t[0]),r=Math.abs(t[1]),n=Math.abs(t[2]),i=[0,0,0];e>Math.max(r,n)?i[2]=1:r>Math.max(e,n)?i[0]=1:i[1]=1;for(var a=0,o=0,s=0;3>s;++s)a+=t[s]*t[s],o+=i[s]*t[s];for(var s=0;3>s;++s)i[s]-=o/a*t[s];return h(i,i),i}function o(t,e,r,n,i,a,o,s){this.center=l(r),this.up=l(n),this.right=l(i),this.radius=l([a]),this.angle=l([o,s]),this.angle.bounds=[[-(1/0),-Math.PI/2],[1/0,Math.PI/2]],this.setDistanceLimits(t,e),this.computedCenter=this.center.curve(0),this.computedUp=this.up.curve(0),this.computedRight=this.right.curve(0),this.computedRadius=this.radius.curve(0),this.computedAngle=this.angle.curve(0),this.computedToward=[0,0,0],this.computedEye=[0,0,0],this.computedMatrix=new Array(16);for(var c=0;16>c;++c)this.computedMatrix[c]=.5;this.recalcMatrix(0)}function s(t){t=t||{};var e=t.center||[0,0,0],r=t.up||[0,1,0],i=t.right||a(r),s=t.radius||1,l=t.theta||0,c=t.phi||0;if(e=[].slice.call(e,0,3),r=[].slice.call(r,0,3),h(r,r),i=[].slice.call(i,0,3),h(i,i),"eye"in t){var u=t.eye,p=[u[0]-e[0],u[1]-e[1],u[2]-e[2]];f(i,p,r),n(i[0],i[1],i[2])<1e-6?i=a(r):h(i,i),s=n(p[0],p[1],p[2]);var g=d(r,p)/s,v=d(i,p)/s;c=Math.acos(g),l=Math.acos(v)}return s=Math.log(s),new o(t.zoomMin,t.zoomMax,e,r,i,s,l,c)}e.exports=s;var l=t("filtered-vector"),c=t("gl-mat4/invert"),u=t("gl-mat4/rotate"),f=t("gl-vec3/cross"),h=t("gl-vec3/normalize"),d=t("gl-vec3/dot"),p=o.prototype;p.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-(1/0),e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},p.getDistanceLimits=function(t){var e=this.radius.bounds[0];return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},p.recalcMatrix=function(t){this.center.curve(t),this.up.curve(t),this.right.curve(t),this.radius.curve(t),this.angle.curve(t);for(var e=this.computedUp,r=this.computedRight,i=0,a=0,o=0;3>o;++o)a+=e[o]*r[o],i+=e[o]*e[o];for(var s=Math.sqrt(i),l=0,o=0;3>o;++o)r[o]-=e[o]*a/i,l+=r[o]*r[o],e[o]/=s;for(var c=Math.sqrt(l),o=0;3>o;++o)r[o]/=c;var u=this.computedToward;f(u,e,r),h(u,u);for(var d=Math.exp(this.computedRadius[0]),p=this.computedAngle[0],g=this.computedAngle[1],v=Math.cos(p),m=Math.sin(p),y=Math.cos(g),b=Math.sin(g),x=this.computedCenter,_=v*y,w=m*y,k=b,A=-v*b,M=-m*b,T=y,E=this.computedEye,L=this.computedMatrix,o=0;3>o;++o){var S=_*r[o]+w*u[o]+k*e[o];L[4*o+1]=A*r[o]+M*u[o]+T*e[o],L[4*o+2]=S,L[4*o+3]=0}var C=L[1],z=L[5],P=L[9],R=L[2],O=L[6],I=L[10],N=z*I-P*O,j=P*R-C*I,F=C*O-z*R,D=n(N,j,F);N/=D,j/=D,F/=D,L[0]=N,L[4]=j,L[8]=F;for(var o=0;3>o;++o)E[o]=x[o]+L[2+4*o]*d;for(var o=0;3>o;++o){for(var l=0,B=0;3>B;++B)l+=L[o+4*B]*E[B];L[12+o]=-l}L[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;16>n;++n)e[n]=r[n];return e}return r};var g=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;g[0]=i[2],g[1]=i[6],g[2]=i[10];for(var a=this.computedUp,o=this.computedRight,s=this.computedToward,l=0;3>l;++l)i[4*l]=a[l],i[4*l+1]=o[l],i[4*l+2]=s[l];u(i,i,n,g);for(var l=0;3>l;++l)a[l]=i[4*l],o[l]=i[4*l+1];this.up.set(t,a[0],a[1],a[2]),this.right.set(t,o[0],o[1],o[2])}},p.pan=function(t,e,r,i){e=e||0,r=r||0,i=i||0,this.recalcMatrix(t);var a=this.computedMatrix,o=(Math.exp(this.computedRadius[0]),a[1]),s=a[5],l=a[9],c=n(o,s,l);o/=c,s/=c,l/=c;var u=a[0],f=a[4],h=a[8],d=u*o+f*s+h*l;u-=o*d,f-=s*d,h-=l*d;var p=n(u,f,h);u/=p,f/=p,h/=p;var g=u*e+o*r,v=f*e+s*r,m=h*e+l*r;this.center.move(t,g,v,m);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+i),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,a){var o=1;"number"==typeof r&&(o=0|r),(0>o||o>3)&&(o=1);var s=(o+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var l=e[o],u=e[o+4],f=e[o+8];if(a){var h=Math.abs(l),d=Math.abs(u),p=Math.abs(f),g=Math.max(h,d,p);h===g?(l=0>l?-1:1,u=f=0):p===g?(f=0>f?-1:1,l=u=0):(u=0>u?-1:1,l=f=0)}else{var v=n(l,u,f);l/=v,u/=v,f/=v}var m=e[s],y=e[s+4],b=e[s+8],x=m*l+y*u+b*f;m-=l*x,y-=u*x,b-=f*x;var _=n(m,y,b);m/=_,y/=_,b/=_;var w=u*b-f*y,k=f*m-l*b,A=l*y-u*m,M=n(w,k,A);w/=M,k/=M,A/=M,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,l,u,f),this.right.jump(t,m,y,b);var T,E;if(2===o){var L=e[1],S=e[5],C=e[9],z=L*m+S*y+C*b,P=L*w+S*k+C*A;T=0>N?-Math.PI/2:Math.PI/2,E=Math.atan2(P,z)}else{var R=e[2],O=e[6],I=e[10],N=R*l+O*u+I*f,j=R*m+O*y+I*b,F=R*w+O*k+I*A;T=Math.asin(i(N)),E=Math.atan2(F,j)}this.angle.jump(t,E,T),this.recalcMatrix(t);var D=e[2],B=e[6],U=e[10],V=this.computedMatrix;c(V,e);var q=V[15],H=V[12]/q,G=V[13]/q,Y=V[14]/q,X=Math.exp(this.computedRadius[0]);this.center.jump(t,H-D*X,G-B*X,Y-U*X)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,a){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter,a=a||this.computedUp;var o=a[0],s=a[1],l=a[2],c=n(o,s,l);if(!(1e-6>c)){o/=c,s/=c,l/=c;var u=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],d=n(u,f,h);if(!(1e-6>d)){u/=d,f/=d,h/=d;var p=this.computedRight,g=p[0],v=p[1],m=p[2],y=o*g+s*v+l*m;g-=y*o,v-=y*s,m-=y*l;var b=n(g,v,m);if(!(.01>b&&(g=s*h-l*f,v=l*u-o*h,m=o*f-s*u,b=n(g,v,m),1e-6>b))){g/=b,v/=b,m/=b,this.up.set(t,o,s,l),this.right.set(t,g,v,m),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(d));var x=s*m-l*v,_=l*g-o*m,w=o*v-s*g,k=n(x,_,w);x/=k,_/=k,w/=k;var A=o*u+s*f+l*h,M=g*u+v*f+m*h,T=x*u+_*f+w*h,E=Math.asin(i(A)),L=Math.atan2(T,M),S=this.angle._state,C=S[S.length-1],z=S[S.length-2];C%=2*Math.PI;var P=Math.abs(C+2*Math.PI-L),R=Math.abs(C-L),O=Math.abs(C-2*Math.PI-L);R>P&&(C+=2*Math.PI),R>O&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,z),this.angle.set(t,L,E)}}}}},{"filtered-vector":20,"gl-mat4/invert":96,"gl-mat4/rotate":100,"gl-vec3/cross":23,"gl-vec3/dot":24,"gl-vec3/normalize":27}],39:[function(t,e,r){"use strict";function n(t,e){this._controllerNames=Object.keys(t),this._controllerList=this._controllerNames.map(function(e){return t[e]}),this._mode=e,this._active=t[e],this._active||(this._mode="turntable",this._active=t.turntable),this.modes=this._controllerNames,this.computedMatrix=this._active.computedMatrix,this.computedEye=this._active.computedEye,this.computedUp=this._active.computedUp,this.computedCenter=this._active.computedCenter,this.computedRadius=this._active.computedRadius}function i(t){t=t||{};var e=t.eye||[0,0,1],r=t.center||[0,0,0],i=t.up||[0,1,0],l=t.distanceLimits||[0,1/0],c=t.mode||"turntable",u=a(),f=o(),h=s();return u.setDistanceLimits(l[0],l[1]),u.lookAt(0,e,r,i),f.setDistanceLimits(l[0],l[1]),f.lookAt(0,e,r,i),h.setDistanceLimits(l[0],l[1]),h.lookAt(0,e,r,i),new n({turntable:u,orbit:f,matrix:h},c)}e.exports=i;var a=t("turntable-camera-controller"),o=t("orbit-camera-controller"),s=t("matrix-camera-controller"),l=n.prototype,c=[["flush",1],["idle",1],["lookAt",4],["rotate",4],["pan",4],["translate",4],["setMatrix",2],["setDistanceLimits",2],["setDistance",2]];c.forEach(function(t){for(var e=t[0],r=[],n=0;ne)){var r=this._active,n=this._controllerList[e],i=Math.max(r.lastT(),n.lastT());r.recalcMatrix(i),n.setMatrix(i,r.computedMatrix),this._active=n,this._mode=t,this.computedMatrix=this._active.computedMatrix,this.computedEye=this._active.computedEye,this.computedUp=this._active.computedUp,this.computedCenter=this._active.computedCenter,this.computedRadius=this._active.computedRadius}}},l.getMode=function(){return this._mode}},{"matrix-camera-controller":28,"orbit-camera-controller":37,"turntable-camera-controller":38}],40:[function(t,e,r){function n(t,e){return a(i(t,e))}e.exports=n;var i=t("alpha-complex"),a=t("simplicial-complex-boundary")},{"alpha-complex":41,"simplicial-complex-boundary":44}],41:[function(t,e,r){"use strict";function n(t,e){return i(e).filter(function(r){for(var n=new Array(r.length),i=0;ii;++i)r+=t[i]*e[i];return r}function i(t){var e=t.length;if(0===e)return[];var r=(t[0].length,o([t.length+1,t.length+1],1)),i=o([t.length+1],1);r[e][e]=0;for(var 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vec3(position, 1);\n gl_Position = vec4(\n scrPosition.xy + scrPosition.z * pixelScale * pixelOffset,\n 0,\n scrPosition.z);\n}\n",fragment:"precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n gl_FragColor = vec4(color.rgb * color.a, color.a);\n}\n"}},{}],80:[function(t,e,r){"use strict";function n(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1}function i(t,e){for(var r=0;3>r;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}function a(t,e,r,n){for(var i=h[n],a=0;a=1},f.isTransparent=function(){return this.opacity<1},f.drawTransparent=f.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||u,i=r.projection=t.projection||u;r.model=t.model||u,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],o=n[13],s=n[14],l=n[15],c=this.pixelRatio*(i[3]*a+i[7]*o+i[11]*s+i[15]*l)/e.drawingBufferHeight;this.vao.bind();for(var f=0;3>f;++f)e.lineWidth(this.lineWidth[f]),r.capSize=this.capSize[f]*c,e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var h=function(){for(var t=new Array(3),e=0;3>e;++e){for(var r=[],n=1;2>=n;++n)for(var i=-1;1>=i;i+=2){var a=(n+e)%3,o=[0,0,0];o[a]=i,r.push(o)}t[e]=r}return t}();f.update=function(t){t=t||{},"lineWidth"in t&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),"opacity"in t&&(this.opacity=t.opacity);var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var o=[],s=r.length,l=0;this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.lineCount=[0,0,0];for(var c=0;3>c;++c){this.lineOffset[c]=l;t:for(var u=0;s>u;++u){for(var f=r[u],h=0;3>h;++h)if(isNaN(f[h])||!isFinite(f[h]))continue t;var d=n[u],p=e[c];if(Array.isArray(p[0])&&(p=e[u]),3===p.length&&(p=[p[0],p[1],p[2],1]),!isNaN(d[0][c])&&!isNaN(d[1][c])){if(d[0][c]<0){var g=f.slice();g[c]+=d[0][c],o.push(f[0],f[1],f[2],p[0],p[1],p[2],p[3],0,0,0,g[0],g[1],g[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,g),l+=2+a(o,g,p,c)}if(d[1][c]>0){var g=f.slice();g[c]+=d[1][c],o.push(f[0],f[1],f[2],p[0],p[1],p[2],p[3],0,0,0,g[0],g[1],g[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,g),l+=2+a(o,g,p,c)}}}this.lineCount[c]=l-this.lineOffset[c]}this.buffer.update(o)}},f.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{"./shaders/index":81,"gl-buffer":77,"gl-vao":185}],81:[function(t,e,r){"use strict";var n=t("gl-shader"),i="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n vec4 worldPosition = model * vec4(position, 1.0);\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n gl_Position = projection * view * worldPosition;\n fragColor = color;\n fragPosition = position;\n}",a="precision mediump float;\n#define GLSLIFY 1\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(fragPosition, clipBounds[0])) || any(greaterThan(fragPosition, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = opacity * fragColor;\n}";e.exports=function(t){return n(t,i,a,null,[{name:"position",type:"vec3"},{name:"offset",type:"vec3"},{name:"color",type:"vec4"}])}},{"gl-shader":156}],82:[function(t,e,r){"use strict";function n(t){var e=t.getParameter(t.FRAMEBUFFER_BINDING),r=t.getParameter(t.RENDERBUFFER_BINDING),n=t.getParameter(t.TEXTURE_BINDING_2D);return[e,r,n]}function i(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function a(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);y=new Array(r+1);for(var n=0;r>=n;++n){for(var i=new Array(r),a=0;n>a;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;r>a;++a)i[a]=t.NONE;y[n]=i}}function o(t){switch(t){case p:throw new Error("gl-fbo: Framebuffer unsupported");case g:throw new Error("gl-fbo: Framebuffer incomplete attachment");case v:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case m:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function s(t,e,r,n,i,a){if(!n)return null;var o=d(t,e,r,i,n);return o.magFilter=t.NEAREST,o.minFilter=t.NEAREST,o.mipSamples=1,o.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,a,t.TEXTURE_2D,o.handle,0),o}function l(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function c(t){var e=n(t.gl),r=t.gl,a=t.handle=r.createFramebuffer(),c=t._shape[0],u=t._shape[1],f=t.color.length,h=t._ext,d=t._useStencil,p=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,a);for(var v=0;f>v;++v)t.color[v]=s(r,c,u,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===f?(t._color_rb=l(r,c,u,r.RGBA4,r.COLOR_ATTACHMENT0),h&&h.drawBuffersWEBGL(y[0])):f>1&&h.drawBuffersWEBGL(y[f]);var m=r.getExtension("WEBGL_depth_texture");m?d?t.depth=s(r,c,u,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p&&(t.depth=s(r,c,u,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):p&&d?t._depth_rb=l(r,c,u,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p?t._depth_rb=l(r,c,u,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=l(r,c,u,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(var v=0;vl;++l)this.color[l]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var u=this,f=[0|e,0|r];Object.defineProperties(f,{0:{get:function(){return u._shape[0]},set:function(t){return u.width=t}},1:{get:function(){return u._shape[1]},set:function(t){return u.height=t}}}),this._shapeVector=f,c(this)}function f(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var a=t.gl,s=a.getParameter(a.MAX_RENDERBUFFER_SIZE);if(0>e||e>s||0>r||r>s)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var l=n(a),c=0;ce||e>o||0>r||r>o)throw new Error("gl-fbo: Parameters are too large for FBO");n=n||{};var s=1;if("color"in n){if(s=Math.max(0|n.color,0),0>s)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(s>1){if(!i)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(s>t.getParameter(i.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+s+" draw buffers")}}var l=t.UNSIGNED_BYTE,c=t.getExtension("OES_texture_float");if(n.float&&s>0){if(!c)throw new Error("gl-fbo: Context does not support floating point textures");l=t.FLOAT}else n.preferFloat&&s>0&&c&&(l=t.FLOAT);var f=!0;"depth"in n&&(f=!!n.depth);var h=!1;return"stencil"in n&&(h=!!n.stencil),new u(t,e,r,l,s,f,h,i)}var d=t("gl-texture2d");e.exports=h;var p,g,v,m,y=null,b=u.prototype;Object.defineProperties(b,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return f(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return t=0|t,f(this,t,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t=0|t,f(this,this._shape[0],t),t},enumerable:!1}}),b.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},b.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e2&&!this.usingDashes){var C=this.mitreShader;C.bind();var z=C.uniforms;z.matrix=t,z.color=s,z.screenShape=e,z.radius=l*p,C.attributes.p.pointer(f.FLOAT,!1,48,0),f.drawArrays(f.POINTS,0,u/3|0)}}}}(),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0],r=[0,0,0,0];return function(n){var i=this.plot,a=this.pickShader,o=this.lineBuffer,s=this.pickBuffer,l=this.width,c=this.numPoints,u=this.bounds,f=this.vertCount,h=i.gl,d=i.viewBox,p=i.dataBox,g=i.pickPixelRatio,v=u[2]-u[0],m=u[3]-u[1],y=p[2]-p[0],b=p[3]-p[1],x=d[2]-d[0],_=d[3]-d[1];if(this.pickOffset=n,!f)return n+c;t[0]=2*v/y,t[4]=2*m/b,t[6]=2*(u[0]-p[0])/y-1,t[7]=2*(u[1]-p[1])/b-1,e[0]=x,e[1]=_,r[0]=255&n,r[1]=n>>>8&255,r[2]=n>>>16&255,r[3]=n>>>24,a.bind();var w=a.uniforms;w.matrix=t,w.width=l*g,w.pickOffset=r,w.screenShape=e;var k=a.attributes;return o.bind(),k.a.pointer(h.FLOAT,!1,16,0),k.d.pointer(h.FLOAT,!1,16,8),s.bind(),k.pick0.pointer(h.UNSIGNED_BYTE,!1,8,0),k.pick1.pointer(h.UNSIGNED_BYTE,!1,8,4),h.drawArrays(h.TRIANGLES,0,f),n+c}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(n>r||r>=n+i)return null;var a=r-n,o=this.data;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},h.update=function(t){t=t||{};var e=this.plot.gl;!!t.connectGaps;this.color=(t.color||[0,0,1,1]).slice(),this.width=+(t.width||1),this.fill=(t.fill||[!1,!1,!1,!1]).slice(),this.fillColor=i(t.fillColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);for(var r=t.dashes||[1],n=0,a=0;a1,this.dashPattern=l(e,c(o,[n,1,4],[1,0,0])),this.dashPattern.minFilter=e.NEAREST,this.dashPattern.magFilter=e.NEAREST,this.dashLength=n,u.free(o);var d=t.positions;this.data=d;var p=this.bounds;p[0]=p[1]=1/0,p[2]=p[3]=-(1/0);var g=this.numPoints=d.length>>>1;if(0!==g){for(var a=0;g>a;++a){var v=d[2*a],m=d[2*a+1];isNaN(v)||isNaN(m)||(p[0]=Math.min(p[0],v),p[1]=Math.min(p[1],m),p[2]=Math.max(p[2],v),p[3]=Math.max(p[3],m))}p[0]===p[2]&&(p[2]+=1),p[3]===p[1]&&(p[3]+=1);for(var y=u.mallocFloat32(24*(g-1)),b=u.mallocUint32(12*(g-1)),x=y.length,_=b.length,s=g,w=0;s>1;){var k=--s,v=d[2*s],m=d[2*s+1],A=k-1,M=d[2*A],T=d[2*A+1];if(!(isNaN(v)||isNaN(m)||isNaN(M)||isNaN(T))){w+=1,v=(v-p[0])/(p[2]-p[0]),m=(m-p[1])/(p[3]-p[1]),M=(M-p[0])/(p[2]-p[0]),T=(T-p[1])/(p[3]-p[1]);var E=M-v,L=T-m,S=k|1<<24,C=k-1,z=k,P=k-1|1<<24;y[--x]=-L,y[--x]=-E,y[--x]=m,y[--x]=v,b[--_]=S,b[--_]=C,y[--x]=L,y[--x]=E,y[--x]=T,y[--x]=M,b[--_]=z,b[--_]=P,y[--x]=-L,y[--x]=-E,y[--x]=T,y[--x]=M,b[--_]=z,b[--_]=P,y[--x]=L,y[--x]=E,y[--x]=T,y[--x]=M,b[--_]=z,b[--_]=P,y[--x]=-L,y[--x]=-E,y[--x]=m,y[--x]=v,b[--_]=S,b[--_]=C,y[--x]=L,y[--x]=E,y[--x]=m,y[--x]=v,b[--_]=S,b[--_]=C}}this.vertCount=6*w,this.lineBuffer.update(y.subarray(x)),this.pickBuffer.update(b.subarray(_)),u.free(y),u.free(b)}},h.dispose=function(){this.plot.removeObject(this),this.lineBuffer.dispose(),this.pickBuffer.dispose(),this.lineShader.dispose(),this.mitreShader.dispose(),this.fillShader.dispose(),this.pickShader.dispose(),this.dashPattern.dispose()}},{"./lib/shaders":83,"gl-buffer":77,"gl-shader":156,"gl-texture2d":181,ndarray:212,"typedarray-pool":237}],85:[function(t,e,r){var n=t("gl-shader"),i="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvoid main() {\n vec4 projected = projection * view * model * vec4(position, 1.0);\n vec4 tangentClip = projection * view * model * vec4(nextPosition - position, 0.0);\n vec2 tangent = normalize(screenShape * tangentClip.xy);\n vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(tangent.y, -tangent.x) / screenShape;\n\n gl_Position = vec4(projected.xy + projected.w * offset, projected.zw);\n\n worldPosition = position;\n pixelArcLength = arcLength;\n fragColor = color;\n}\n",a="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float dashScale;\nuniform float opacity;\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\n discard;\n }\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n if(dashWeight < 0.5) {\n discard;\n }\n gl_FragColor = fragColor * opacity;\n}\n",o="precision mediump float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\nlowp vec4 encode_float_1_0(highp float v) {\n highp float av = abs(v);\n\n //Handle special cases\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n }\n\n highp vec4 c = vec4(0,0,0,0);\n\n //Compute exponent and mantissa\n highp float e = floor(log2(av));\n highp float m = av * pow(2.0, -e) - 1.0;\n \n //Unpack mantissa\n c[1] = floor(128.0 * m);\n m -= c[1] / 128.0;\n c[2] = floor(32768.0 * m);\n m -= c[2] / 32768.0;\n c[3] = floor(8388608.0 * m);\n \n //Unpack exponent\n highp float ebias = e + 127.0;\n c[0] = floor(ebias / 2.0);\n ebias -= c[0] * 2.0;\n c[1] += floor(ebias) * 128.0; \n\n //Unpack sign bit\n c[0] += 128.0 * step(0.0, -v);\n\n //Scale back to range\n return c / 255.0;\n}\n\n\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = vec4(pickId/255.0, encode_float_1_0(pixelArcLength).xyz);\n}",s=[{
-name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];r.createShader=function(t){return n(t,i,a,null,s)},r.createPickShader=function(t){return n(t,i,o,null,s)}},{"gl-shader":156}],86:[function(t,e,r){"use strict";function n(t,e){for(var r=0,n=0;3>n;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function i(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;3>r;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function a(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function o(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.dirty=!0,this.pixelRatio=1}function s(t){var e=t.gl||t.scene&&t.scene.gl,r=g(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var n=v(e);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;for(var i=l(e),a=c(e,[{buffer:i,size:3,offset:0,stride:48},{buffer:i,size:3,offset:12,stride:48},{buffer:i,size:1,offset:24,stride:48},{buffer:i,size:1,offset:28,stride:48},{buffer:i,size:4,offset:32,stride:48}]),s=d(new Array(1024),[256,1,4]),f=0;1024>f;++f)s.data[f]=255;var h=u(e,s);h.wrap=e.REPEAT;var p=new o(e,r,n,i,a,h);return p.update(t),p}e.exports=s;var l=t("gl-buffer"),c=t("gl-vao"),u=t("gl-texture2d"),f=t("glsl-read-float"),h=t("binary-search-bounds"),d=t("ndarray"),p=t("./lib/shaders"),g=p.createShader,v=p.createPickShader,m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],y=o.prototype;y.isTransparent=function(){return this.opacity<1},y.isOpaque=function(){return this.opacity>=1},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||m,view:t.view||m,projection:t.projection||m,clipBounds:i(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.drawPick=function(t){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||m,view:t.view||m,projection:t.projection||m,pickId:this.pickId,clipBounds:i(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.update=function(t){var e,r;this.dirty=!0;var i=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),"opacity"in t&&(this.opacity=+t.opacity);var a=t.position||t.positions;if(a){var o=t.color||t.colors||[0,0,0,1],s=t.lineWidth||1,l=[],c=[],u=[],f=0,p=0,g=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],v=!1;t:for(e=1;er;++r){if(isNaN(m[r])||isNaN(y[r])||!isFinite(m[r])||!isFinite(y[r])){if(!i&&l.length>0){for(var b=0;24>b;++b)l.push(l[l.length-12]);p+=2,v=!0}continue t}g[0][r]=Math.min(g[0][r],m[r],y[r]),g[1][r]=Math.max(g[1][r],m[r],y[r])}var x,_;Array.isArray(o[0])?(x=o[e-1],_=o[e]):x=_=o,3===x.length&&(x=[x[0],x[1],x[2],1]),3===_.length&&(_=[_[0],_[1],_[2],1]);var w;w=Array.isArray(s)?s[e-1]:s;var k=f;if(f+=n(m,y),v){for(r=0;2>r;++r)l.push(m[0],m[1],m[2],y[0],y[1],y[2],k,w,x[0],x[1],x[2],x[3]);p+=2,v=!1}l.push(m[0],m[1],m[2],y[0],y[1],y[2],k,w,x[0],x[1],x[2],x[3],m[0],m[1],m[2],y[0],y[1],y[2],k,-w,x[0],x[1],x[2],x[3],y[0],y[1],y[2],m[0],m[1],m[2],f,-w,_[0],_[1],_[2],_[3],y[0],y[1],y[2],m[0],m[1],m[2],f,w,_[0],_[1],_[2],_[3]),p+=4}if(this.buffer.update(l),c.push(f),u.push(a[a.length-1].slice()),this.bounds=g,this.vertexCount=p,this.points=u,this.arcLength=c,"dashes"in t){var A=t.dashes,M=A.slice();for(M.unshift(0),e=1;ee;++e){for(r=0;4>r;++r)T.set(e,0,r,0);1&h.le(M,M[M.length-1]*e/255)?T.set(e,0,0,0):T.set(e,0,0,255)}this.texture.setPixels(T)}}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=f(t.value[0],t.value[1],t.value[2],0),r=h.le(this.arcLength,e);if(0>r)return null;if(r===this.arcLength.length-1)return new a(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],o=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),s=1-o,l=[0,0,0],c=0;3>c;++c)l[c]=s*n[c]+o*i[c];var u=Math.min(.5>o?r:r+1,this.points.length-1);return new a(e,l,u,this.points[u])}},{"./lib/shaders":85,"binary-search-bounds":87,"gl-buffer":77,"gl-texture2d":181,"gl-vao":185,"glsl-read-float":88,ndarray:212}],87:[function(t,e,r){arguments[4][21][0].apply(r,arguments)},{dup:21}],88:[function(t,e,r){function n(t,e,r,n){return i[0]=n,i[1]=r,i[2]=e,i[3]=t,a[0]}e.exports=n;var i=new Uint8Array(4),a=new Float32Array(i.buffer)},{}],89:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=u*o-s*c,h=-u*a+s*l,d=c*a-o*l,p=r*f+n*h+i*d;return p?(p=1/p,t[0]=f*p,t[1]=(-u*n+i*c)*p,t[2]=(s*n-i*o)*p,t[3]=h*p,t[4]=(u*r-i*l)*p,t[5]=(-s*r+i*a)*p,t[6]=d*p,t[7]=(-c*r+n*l)*p,t[8]=(o*r-n*a)*p,t):null}e.exports=n},{}],90:[function(t,e,r){function n(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}e.exports=n},{}],91:[function(t,e,r){function n(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],92:[function(t,e,r){function n(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],f=t[10],h=t[11],d=t[12],p=t[13],g=t[14],v=t[15],m=e*o-r*a,y=e*s-n*a,b=e*l-i*a,x=r*s-n*o,_=r*l-i*o,w=n*l-i*s,k=c*p-u*d,A=c*g-f*d,M=c*v-h*d,T=u*g-f*p,E=u*v-h*p,L=f*v-h*g;return m*L-y*E+b*T+x*M-_*A+w*k}e.exports=n},{}],93:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,f=n*s,h=i*o,d=i*s,p=i*l,g=a*o,v=a*s,m=a*l;return t[0]=1-f-p,t[1]=u+m,t[2]=h-v,t[3]=0,t[4]=u-m,t[5]=1-c-p,t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-c-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],94:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,f=n*l,h=n*c,d=i*l,p=i*c,g=a*c,v=o*s,m=o*l,y=o*c;return t[0]=1-(d+g),t[1]=f+y,t[2]=h-m,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=p+v,t[7]=0,t[8]=h+m,t[9]=p-v,t[10]=1-(u+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}e.exports=n},{}],95:[function(t,e,r){function n(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],96:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],d=e[11],p=e[12],g=e[13],v=e[14],m=e[15],y=r*s-n*o,b=r*l-i*o,x=r*c-a*o,_=n*l-i*s,w=n*c-a*s,k=i*c-a*l,A=u*g-f*p,M=u*v-h*p,T=u*m-d*p,E=f*v-h*g,L=f*m-d*g,S=h*m-d*v,C=y*S-b*L+x*E+_*T-w*M+k*A;return C?(C=1/C,t[0]=(s*S-l*L+c*E)*C,t[1]=(i*L-n*S-a*E)*C,t[2]=(g*k-v*w+m*_)*C,t[3]=(h*w-f*k-d*_)*C,t[4]=(l*T-o*S-c*M)*C,t[5]=(r*S-i*T+a*M)*C,t[6]=(v*x-p*k-m*b)*C,t[7]=(u*k-h*x+d*b)*C,t[8]=(o*L-s*T+c*A)*C,t[9]=(n*T-r*L-a*A)*C,t[10]=(p*w-g*x+m*y)*C,t[11]=(f*x-u*w-d*y)*C,t[12]=(s*M-o*E-l*A)*C,t[13]=(r*E-n*M+i*A)*C,t[14]=(g*b-p*_-v*y)*C,t[15]=(u*_-f*b+h*y)*C,t):null}e.exports=n},{}],97:[function(t,e,r){function n(t,e,r,n){var a,o,s,l,c,u,f,h,d,p,g=e[0],v=e[1],m=e[2],y=n[0],b=n[1],x=n[2],_=r[0],w=r[1],k=r[2];return Math.abs(g-_)<1e-6&&Math.abs(v-w)<1e-6&&Math.abs(m-k)<1e-6?i(t):(f=g-_,h=v-w,d=m-k,p=1/Math.sqrt(f*f+h*h+d*d),f*=p,h*=p,d*=p,a=b*d-x*h,o=x*f-y*d,s=y*h-b*f,p=Math.sqrt(a*a+o*o+s*s),p?(p=1/p,a*=p,o*=p,s*=p):(a=0,o=0,s=0),l=h*s-d*o,c=d*a-f*s,u=f*o-h*a,p=Math.sqrt(l*l+c*c+u*u),p?(p=1/p,l*=p,c*=p,u*=p):(l=0,c=0,u=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=d,t[11]=0,t[12]=-(a*g+o*v+s*m),t[13]=-(l*g+c*v+u*m),t[14]=-(f*g+h*v+d*m),t[15]=1,t)}var i=t("./identity");e.exports=n},{"./identity":95}],98:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],d=e[10],p=e[11],g=e[12],v=e[13],m=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*f+w*g,t[1]=b*i+x*l+_*h+w*v,t[2]=b*a+x*c+_*d+w*m,t[3]=b*o+x*u+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*f+w*g,t[5]=b*i+x*l+_*h+w*v,t[6]=b*a+x*c+_*d+w*m,t[7]=b*o+x*u+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*f+w*g,t[9]=b*i+x*l+_*h+w*v,t[10]=b*a+x*c+_*d+w*m,t[11]=b*o+x*u+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*f+w*g,t[13]=b*i+x*l+_*h+w*v,t[14]=b*a+x*c+_*d+w*m,t[15]=b*o+x*u+_*p+w*y,t}e.exports=n},{}],99:[function(t,e,r){function n(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}e.exports=n},{}],100:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,c,u,f,h,d,p,g,v,m,y,b,x,_,w,k,A,M,T,E,L=n[0],S=n[1],C=n[2],z=Math.sqrt(L*L+S*S+C*C);return Math.abs(z)<1e-6?null:(z=1/z,L*=z,S*=z,C*=z,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],d=e[6],p=e[7],g=e[8],v=e[9],m=e[10],y=e[11],b=L*L*o+a,x=S*L*o+C*i,_=C*L*o-S*i,w=L*S*o-C*i,k=S*S*o+a,A=C*S*o+L*i,M=L*C*o+S*i,T=S*C*o-L*i,E=C*C*o+a,t[0]=s*b+f*x+g*_,t[1]=l*b+h*x+v*_,t[2]=c*b+d*x+m*_,t[3]=u*b+p*x+y*_,t[4]=s*w+f*k+g*A,t[5]=l*w+h*k+v*A,t[6]=c*w+d*k+m*A,t[7]=u*w+p*k+y*A,t[8]=s*M+f*T+g*E,t[9]=l*M+h*T+v*E,t[10]=c*M+d*T+m*E,t[11]=u*M+p*T+y*E,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}e.exports=n},{}],101:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}e.exports=n},{}],102:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}e.exports=n},{}],103:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}e.exports=n},{}],104:[function(t,e,r){function n(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}e.exports=n},{}],105:[function(t,e,r){function n(t,e,r){var n,i,a,o,s,l,c,u,f,h,d,p,g=r[0],v=r[1],m=r[2];return e===t?(t[12]=e[0]*g+e[4]*v+e[8]*m+e[12],t[13]=e[1]*g+e[5]*v+e[9]*m+e[13],t[14]=e[2]*g+e[6]*v+e[10]*m+e[14],t[15]=e[3]*g+e[7]*v+e[11]*m+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=d,t[11]=p,t[12]=n*g+s*v+f*m+e[12],t[13]=i*g+l*v+h*m+e[13],t[14]=a*g+c*v+d*m+e[14],t[15]=o*g+u*v+p*m+e[15]),t}e.exports=n},{}],106:[function(t,e,r){function n(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}e.exports=n},{}],107:[function(t,e,r){"use strict";function n(t,e){for(var r=[0,0,0,0],n=0;4>n;++n)for(var 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denom;\n}\n\n\n\nfloat cookTorranceSpecular_1_1(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution_2_0(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular\n 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f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_color = color;\n f_data = position;\n f_uv = uv;\n}",o="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n if(any(lessThan(f_data, clipBounds[0])) || \n any(greaterThan(f_data, clipBounds[1]))) {\n discard;\n }\n\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}",s="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || \n any(greaterThan(position, clipBounds[1]))) {\n gl_Position = vec4(0,0,0,0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n }\n gl_PointSize = pointSize;\n f_color = color;\n f_uv = uv;\n}",l="precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec2 pointR = gl_PointCoord.xy - vec2(0.5,0.5);\n if(dot(pointR, pointR) > 0.25) {\n discard;\n }\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}",c="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_id = id;\n f_position = position;\n}",u="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if(any(lessThan(f_position, clipBounds[0])) || \n any(greaterThan(f_position, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = vec4(pickId, f_id.xyz);\n}",f="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute float pointSize;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || \n any(greaterThan(position, clipBounds[1]))) {\n gl_Position = vec4(0,0,0,0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n gl_PointSize = pointSize;\n }\n f_id = id;\n f_position = position;\n}",h="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n}",d="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n gl_FragColor = vec4(contourColor,1);\n}\n";r.meshShader={vertex:n,fragment:i,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.wireShader={vertex:a,fragment:o,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.pointShader={vertex:s,fragment:l,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},r.pickShader={vertex:c,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},r.pointPickShader={vertex:f,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},r.contourShader={vertex:h,fragment:d,attributes:[{name:"position",type:"vec3"}]}},{}],109:[function(t,e,r){"use strict";function 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i(t){for(var e=w({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;256>n;++n){for(var i=e[n],a=0;3>a;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return _(r,[256,256,4],[4,0,1])}function a(t,e,r){for(var n=new Array(e),i=0;e>i;++i)n[i]=0;for(var a=t.length,i=0;a>i;++i)for(var o=t[i],s=0;sn;++n)r[n]=t[n][2];return r}function s(t){var e=p(t,E);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function l(t){var e=p(t,L);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function c(t){var e=p(t,S);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function u(t){var e=p(t,C);return e.attributes.position.location=0,e.attributes.id.location=1,e}function f(t){var e=p(t,z);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function h(t){var e=p(t,P);return e.attributes.position.location=0,e}function d(t){var e=t.gl,r=s(e),i=l(e),a=c(e),o=u(e),d=f(e),p=h(e),y=m(e,_(new Uint8Array([255,255,255,255]),[1,1,4]));y.generateMipmap(),y.minFilter=e.LINEAR_MIPMAP_LINEAR,y.magFilter=e.LINEAR;var b=g(e),x=g(e),w=g(e),k=g(e),A=g(e),M=v(e,[{buffer:b,type:e.FLOAT,size:3},{buffer:A,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:x,type:e.FLOAT,size:4},{buffer:w,type:e.FLOAT,size:2},{buffer:k,type:e.FLOAT,size:3}]),T=g(e),E=g(e),L=g(e),S=g(e),C=v(e,[{buffer:T,type:e.FLOAT,size:3},{buffer:S,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:E,type:e.FLOAT,size:4},{buffer:L,type:e.FLOAT,size:2}]),z=g(e),P=g(e),R=g(e),O=g(e),I=g(e),N=v(e,[{buffer:z,type:e.FLOAT,size:3},{buffer:I,type:e.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:P,type:e.FLOAT,size:4},{buffer:R,type:e.FLOAT,size:2},{buffer:O,type:e.FLOAT,size:1}]),j=g(e),F=v(e,[{buffer:j,type:e.FLOAT,size:3}]),D=new n(e,y,r,i,a,o,d,p,b,A,x,w,k,M,T,S,E,L,C,z,I,P,R,O,N,j,F);return D.update(t),D}var p=t("gl-shader"),g=t("gl-buffer"),v=t("gl-vao"),m=t("gl-texture2d"),y=t("normals"),b=t("gl-mat4/multiply"),x=t("gl-mat4/invert"),_=t("ndarray"),w=t("colormap"),k=t("simplicial-complex-contour"),A=t("typedarray-pool"),M=t("./lib/shaders"),T=t("./lib/closest-point"),E=M.meshShader,L=M.wireShader,S=M.pointShader,C=M.pickShader,z=M.pointPickShader,P=M.contourShader,R=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],O=n.prototype;O.isOpaque=function(){return this.opacity>=1},O.isTransparent=function(){return this.opacity<1},O.pickSlots=1,O.setPickBase=function(t){this.pickId=t},O.highlight=function(t){if(!t||!this.contourEnable)return void(this.contourCount=0);for(var e=k(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=A.mallocFloat32(6*a),s=0,l=0;a>l;++l)for(var c=r[l],u=0;2>u;++u){var f=c[0];2===c.length&&(f=c[u]);for(var 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M=t.vertexColors,T=t.cellColors,E=t.meshColor||[1,1,1,1],L=t.vertexUVs,S=t.vertexIntensity,C=t.cellUVs,z=t.cellIntensity,P=1/0,R=-(1/0);if(!L&&!C)if(S)for(var O=0;OD;++D)!isNaN(F[D])&&isFinite(F[D])&&(this.bounds[0][D]=Math.min(this.bounds[0][D],F[D]),this.bounds[1][D]=Math.max(this.bounds[1][D],F[D]));var B=0,U=0,V=0;t:for(var O=0;OD;++D)if(isNaN(F[D])||!isFinite(F[D]))continue t;v.push(F[0],F[1],F[2]);var G;G=M?M[H]:T?T[O]:E,3===G.length?b.push(G[0],G[1],G[2],1):b.push(G[0],G[1],G[2],G[3]);var Y;Y=L?L[H]:S?[(S[H]-P)/(R-P),0]:C?C[O]:z?[(z[O]-P)/(R-P),0]:[(F[2]-P)/(R-P),0],x.push(Y[0],Y[1]),N?_.push(N[H]):_.push(j),w.push(O),V+=1;break;case 2:for(var D=0;2>D;++D)for(var H=q[D],F=n[H],X=0;3>X;++X)if(isNaN(F[X])||!isFinite(F[X]))continue t;for(var D=0;2>D;++D){var H=q[D],F=n[H];h.push(F[0],F[1],F[2]);var G;G=M?M[H]:T?T[O]:E,3===G.length?d.push(G[0],G[1],G[2],1):d.push(G[0],G[1],G[2],G[3]);var 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u=l[12+o],f=0;3>f;++f)u+=l[4*f+o]*this.lightPosition[f];s.lightPosition[o]=u/c}if(this.triangleCount>0){var h=this.triShader;h.bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var h=this.lineShader;h.bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()}if(this.pointCount>0){var h=this.pointShader;h.bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var h=this.contourShader;h.bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind()}},O.drawPick=function(t){t=t||{};for(var 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e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ao;++o){for(var s=new Array(r+1),l=0;r>=l;++l)s[l]=t[l][o];i[o]=s}i[r]=new Array(r+1);for(var o=0;r>=o;++o)i[r][o]=1;for(var c=new Array(r+1),o=0;r>o;++o)c[o]=e[o];c[r]=1;var u=a(i,c),f=n(u[r+1]);0===f&&(f=1);for(var h=new Array(r+1),o=0;r>=o;++o)h[o]=n(u[o])/f;return h}e.exports=i;var a=t("robust-linear-solve")},{"robust-linear-solve":215}],111:[function(t,e,r){var n=1e-6;r.vertexNormals=function(t,e){for(var r=e.length,i=new Array(r),a=0;r>a;++a)i[a]=[0,0,0];for(var a=0;ay;++y)p[y]=f[y]-h[y],g+=p[y]*p[y],v[y]=d[y]-h[y],m+=v[y]*v[y];if(g*m>n)for(var b=i[l],x=1/Math.sqrt(g*m),y=0;3>y;++y){var _=(y+1)%3,w=(y+2)%3;b[y]+=x*(v[_]*p[w]-v[w]*p[_])}}for(var a=0;r>a;++a){for(var b=i[a],k=0,y=0;3>y;++y)k+=b[y]*b[y];if(k>n)for(var x=1/Math.sqrt(k),y=0;3>y;++y)b[y]*=x;else for(var y=0;3>y;++y)b[y]=0}return i},r.faceNormals=function(t,e){for(var r=t.length,i=new Array(r),a=0;r>a;++a){for(var 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k,A,M,T;0>x?(k=u+h,A=f+d,A>k?(M=A-k,T=c-2*u+f,M>=T?(x=1,_=0,y=c+2*h+p):(x=M/T,_=1-x,y=x*(c*x+u*_+2*h)+_*(u*x+f*_+2*d)+p)):(x=0,0>=A?(_=1,y=f+2*d+p):d>=0?(_=0,y=p):(_=-d/f,y=d*_+p))):0>_?(k=u+d,A=c+h,A>k?(M=A-k,T=c-2*u+f,M>=T?(_=1,x=0,y=f+2*d+p):(_=M/T,x=1-_,y=x*(c*x+u*_+2*h)+_*(u*x+f*_+2*d)+p)):(_=0,0>=A?(x=1,y=c+2*h+p):h>=0?(x=0,y=p):(x=-h/c,y=h*x+p))):(M=f+d-u-h,0>=M?(x=0,_=1,y=f+2*d+p):(T=c-2*u+f,M>=T?(x=1,_=0,y=c+2*h+p):(x=M/T,_=1-x,y=x*(c*x+u*_+2*h)+_*(u*x+f*_+2*d)+p)))}for(var E=1-x-_,l=0;ly?0:y}var i=new Float64Array(4),a=new Float64Array(4),o=new Float64Array(4);e.exports=n},{}],113:[function(t,e,r){"use strict";function n(t){for(var e=t.length,r=0,n=0;e>n;++n)r=0|Math.max(r,t[n].length);return r-1}function i(t,e){for(var r=t.length,n=f.mallocUint8(r),i=0;r>i;++i)n[i]=t[i]o;++o)for(var s=t[o],e=s.length,l=0;e>l;++l)for(var c=0;l>c;++c){var d=s[c],p=s[l];i[a++]=0|Math.min(d,p),i[a++]=0|Math.max(d,p)}var g=a/2|0;h(u(i,[g,2]));for(var 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o=0;16>o;++o)U[o]=0;U[15]=1;for(var k=0,o=0;3>o;++o)k=Math.max(k,g[1][o]-g[0][o]);for(var o=0;3>o;++o)H.autoScale?U[5*o]=H.aspect[o]/(g[1][o]-g[0][o]):U[5*o]=1/k,H.autoCenter&&(U[12+o]=.5*-U[5*o]*(g[0][o]+g[1][o]));for(var o=0;r>o;++o){var l=O[o];l.axesBounds=g,H.clipToBounds&&(l.clipBounds=g)}if(T.object&&(H.snapToData?R.position=T.dataCoordinate:R.position=T.dataPosition,R.bounds=g),D&&(D=!1,y()),F){H.axesPixels=u(H.axes,V,_,w),H.onrender&&H.onrender(),A.bindFramebuffer(A.FRAMEBUFFER,null),A.viewport(0,0,_,w);var M=H.clearColor;A.clearColor(M[0],M[1],M[2],M[3]),A.clear(A.COLOR_BUFFER_BIT|A.DEPTH_BUFFER_BIT),A.depthMask(!0),A.colorMask(!0,!0,!0,!0),A.enable(A.DEPTH_TEST),A.depthFunc(A.LEQUAL),A.disable(A.BLEND),A.disable(A.CULL_FACE);var S=!1;z.enable&&(S=S||z.isTransparent(),z.draw(V)),R.axes=z,T.object&&R.draw(V),A.disable(A.CULL_FACE);for(var o=0;r>o;++o){var 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_=!1,w=(t.pixelRatio||parseFloat(window.devicePixelRatio),t.canvas);if(!w)if(w=document.createElement("canvas"),t.container){var k=t.container;k.appendChild(w)}else document.body.appendChild(w);var A=t.gl;if(A||(A=i(w,t.glOptions||{premultipliedAlpha:!0,antialias:!0})),!A)throw new Error("webgl not supported");var M=t.bounds||[[-10,-10,-10],[10,10,10]],T=new n,E=d(A,[A.drawingBufferWidth,A.drawingBufferHeight],{preferFloat:!0}),L=m(A),S=t.camera||{eye:[2,0,0],center:[0,0,0],up:[0,1,0],zoomMin:.1,zoomMax:100,mode:"turntable"},C=t.axes||{},z=c(A,C);z.enable=!C.disable;var P=t.spikes||{},R=f(A,P),O=[],I=[],N=[],j=[],F=!0,D=!0,B=new Array(16),U=new 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e=O.indexOf(t);0>e||(O.splice(e,1),I.pop(),F=!0,D=!0,r())}},H.dispose=function(){if(!_&&(_=!0,window.removeEventListener("resize",e),w.removeEventListener("webglcontextlost",s),H.mouseListener.enabled=!1,!H.contextLost)){z.dispose(),R.dispose();for(var t=0;ts;++s){var l=j[s].query(e,G[1]-r-1,H.pickRadius);if(l){if(l.distance>T.distance)continue;for(var c=0;i>c;++c){var u=O[c];if(I[c]===s){var f=u.pick(l);f&&(T.buttons=t,T.screen=l.coord,T.distance=l.distance,T.object=u,T.index=f.distance,T.dataPosition=f.position,T.dataCoordinate=f.dataCoordinate,T.data=f,o=!0)}}}}}a&&a!==T.object&&(a.highlight&&a.highlight(null),F=!0),T.object&&(T.object.highlight&&T.object.highlight(T.data),F=!0),o=o||T.object!==a,o&&H.onselect&&H.onselect(T),1&t&&!(1&X)&&H.onclick&&H.onclick(T),X=t}}),w.addEventListener("webglcontextlost",s);var W=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],Z=[W[0].slice(),W[1].slice()];return x(),H.redraw=function(){_||(F=!0,b())},H}e.exports=s;var l=t("3d-view-controls"),c=t("gl-axes3d"),u=t("gl-axes3d/properties"),f=t("gl-spikes3d"),h=t("gl-select-static"),d=t("gl-fbo"),p=t("a-big-triangle"),g=t("mouse-change"),v=t("gl-mat4/perspective"),m=t("./lib/shader")},{"./lib/shader":125,"3d-view-controls":126,"a-big-triangle":128,"gl-axes3d":129,"gl-axes3d/properties":139,"gl-fbo":82,"gl-mat4/perspective":99,"gl-select-static":155,"gl-spikes3d":141,"mouse-change":200}],143:[function(t,e,r){"use strict";e.exports={vertex:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec2 offset;\nattribute vec4 color;\n\nuniform mat3 viewTransform;\nuniform vec2 pixelScale;\n\nvarying vec4 fragColor;\n\nvec4 computePosition_1_0(vec2 position, vec2 offset, mat3 view, vec2 scale) {\n vec3 xposition = view * vec3(position, 1.0);\n return vec4(\n xposition.xy + scale * offset * xposition.z,\n 0,\n xposition.z);\n}\n\n\n\n\nvoid main() {\n fragColor = color;\n\n gl_Position = computePosition_1_0(\n position,\n offset,\n viewTransform,\n pixelScale);\n}\n",fragment:"precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n",pickVertex:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec2 offset;\nattribute vec4 id;\n\nuniform mat3 viewTransform;\nuniform vec2 pixelScale;\nuniform vec4 pickOffset;\n\nvarying vec4 fragColor;\n\nvec4 computePosition_1_0(vec2 position, vec2 offset, mat3 view, vec2 scale) {\n vec3 xposition = view * vec3(position, 1.0);\n return vec4(\n xposition.xy + scale * offset * xposition.z,\n 0,\n xposition.z);\n}\n\n\n\n\nvoid main() {\n vec4 fragId = id + pickOffset;\n\n fragId.y += floor(fragId.x / 256.0);\n fragId.x -= floor(fragId.x / 256.0) * 256.0;\n\n fragId.z += floor(fragId.y / 256.0);\n fragId.y -= floor(fragId.y / 256.0) * 256.0;\n\n fragId.w += floor(fragId.z / 256.0);\n fragId.z -= floor(fragId.z / 256.0) * 256.0;\n\n fragColor = fragId / 255.0;\n\n gl_Position = computePosition_1_0(\n position,\n offset,\n viewTransform,\n pixelScale);\n}\n",pickFragment:"precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n gl_FragColor = fragColor;\n}\n"}},{}],144:[function(t,e,r){"use strict";function n(t){if(t in h)return h[t];var e=u(t,{polygons:!0,font:"sans-serif",textAlign:"left",textBaseline:"alphabetic"}),r=[],n=[];e.forEach(function(t){t.forEach(function(t){for(var e=0;eo;++o)i[o]=Math.min(i[o],r[a+o]),i[2+o]=Math.max(i[2+o],r[a+o]);return h[t]={coords:r,normals:n,bounds:i}}function i(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.offsetBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.bounds=[1/0,1/0,-(1/0),-(1/0)],this.numPoints=0,this.numVertices=0,this.pickOffset=0,this.points=null}function a(t,e){var r=t.gl,n=o(r,f.vertex,f.fragment),a=o(r,f.pickVertex,f.pickFragment),l=s(r),c=s(r),u=s(r),h=s(r),d=new i(t,n,a,l,c,u,h);return d.update(e),t.addObject(d),d}e.exports=a;var o=t("gl-shader"),s=t("gl-buffer"),l=t("text-cache"),c=t("typedarray-pool"),u=t("vectorize-text"),f=t("./lib/shaders"),h={},d=i.prototype;!function(){function t(){var t=this.plot,n=this.bounds,i=t.viewBox,a=t.dataBox,o=t.pixelRatio,s=n[2]-n[0],l=n[3]-n[1],c=a[2]-a[0],u=a[3]-a[1];e[0]=2*s/c,e[4]=2*l/u,e[6]=2*(n[0]-a[0])/c-1,e[7]=2*(n[1]-a[1])/u-1;var f=i[2]-i[0],h=i[3]-i[1];r[0]=2*o/f,r[1]=2*o/h}var e=[1,0,0,0,1,0,0,0,1],r=[1,1];d.draw=function(){var n=this.plot,i=this.shader,a=this.numVertices;if(a){var o=n.gl;t.call(this),i.bind(),i.uniforms.pixelScale=r,i.uniforms.viewTransform=e,this.positionBuffer.bind(),i.attributes.position.pointer(),this.offsetBuffer.bind(),i.attributes.offset.pointer(),this.colorBuffer.bind(),i.attributes.color.pointer(o.UNSIGNED_BYTE,!0),o.drawArrays(o.TRIANGLES,0,a)}};var n=[0,0,0,0];d.drawPick=function(i){var a=this.plot,o=this.pickShader,s=this.numVertices,l=a.gl;if(this.pickOffset=i,!s)return i;for(var c=0;4>c;++c)n[c]=i>>8*c&255;return t.call(this),o.bind(),o.uniforms.pixelScale=r,o.uniforms.viewTransform=e,o.uniforms.pickOffset=n,this.positionBuffer.bind(),o.attributes.position.pointer(),this.offsetBuffer.bind(),o.attributes.offset.pointer(),this.idBuffer.bind(),o.attributes.id.pointer(l.UNSIGNED_BYTE,!1),l.drawArrays(l.TRIANGLES,0,s),i+this.numPoints}}(),d.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(n>r||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},d.update=function(t){t=t||{};var e=t.positions||[],r=t.colors||[],i=t.glyphs||[],a=t.sizes||[],o=t.borderWidths||[],s=t.borderColors||[];this.points=e;for(var u=this.bounds=[1/0,1/0,-(1/0),-(1/0)],f=0,h=0;h>1;for(var d=0;2>d;++d)u[d]=Math.min(u[d],e[2*h+d]),u[2+d]=Math.max(u[2+d],e[2*h+d])}u[0]===u[2]&&(u[2]+=1),u[3]===u[1]&&(u[3]+=1);for(var p=1/(u[2]-u[0]),g=1/(u[3]-u[1]),v=u[0],m=u[1],y=c.mallocFloat32(2*f),b=c.mallocFloat32(2*f),x=c.mallocUint8(4*f),_=c.mallocUint32(f),w=0,h=0;h=a?i(0,a-1,t,e,r,n):f(0,a-1,t,e,r,n)}function i(t,e,r,n,i,a){for(var o=t+1;e>=o;++o){for(var s=r[o],l=n[2*o],c=n[2*o+1],u=i[o],f=a[o],h=o;h>t;){var d=r[h-1],p=n[2*(h-1)];if((d-s||l-p)>=0)break;r[h]=d,n[2*h]=p,n[2*h+1]=n[2*h-1],i[h]=i[h-1],a[h]=a[h-1],h-=1}r[h]=s,n[2*h]=l,n[2*h+1]=c,i[h]=u,a[h]=f}}function a(t,e,r,n,i,a){var o=r[t],s=n[2*t],l=n[2*t+1],c=i[t],u=a[t];r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e],r[e]=o,n[2*e]=s,n[2*e+1]=l,i[e]=c,a[e]=u}function o(t,e,r,n,i,a){r[t]=r[e],n[2*t]=n[2*e],n[2*t+1]=n[2*e+1],i[t]=i[e],a[t]=a[e]}function s(t,e,r,n,i,a,o){var s=n[t],l=i[2*t],c=i[2*t+1],u=a[t],f=o[t];n[t]=n[e],i[2*t]=i[2*e],i[2*t+1]=i[2*e+1],a[t]=a[e],o[t]=o[e],n[e]=n[r],i[2*e]=i[2*r],i[2*e+1]=i[2*r+1],a[e]=a[r],o[e]=o[r],n[r]=s,i[2*r]=l,i[2*r+1]=c,a[r]=u,o[r]=f}function l(t,e,r,n,i,a,o,s,l,c,u){s[t]=s[e],l[2*t]=l[2*e],l[2*t+1]=l[2*e+1],c[t]=c[e],u[t]=u[e],s[e]=r,l[2*e]=n,l[2*e+1]=i,c[e]=a,u[e]=o}function c(t,e,r,n,i){return(r[t]-r[e]||n[2*e]-n[2*t]||i[t]-i[e])<0}function u(t,e,r,n,i,a,o,s){return(e-a[t]||o[2*t]-r||i-s[t])<0}function f(t,e,r,n,d,p){var g=(e-t+1)/6|0,v=t+g,m=e-g,y=t+e>>1,b=y-g,x=y+g,_=v,w=b,k=y,A=x,M=m,T=t+1,E=e-1,L=0;c(_,w,r,n,d,p)&&(L=_,_=w,w=L),c(A,M,r,n,d,p)&&(L=A,A=M,M=L),c(_,k,r,n,d,p)&&(L=_,_=k,k=L),c(w,k,r,n,d,p)&&(L=w,w=k,k=L),c(_,A,r,n,d,p)&&(L=_,_=A,A=L),c(k,A,r,n,d,p)&&(L=k,k=A,A=L),c(w,M,r,n,d,p)&&(L=w,w=M,M=L),c(w,k,r,n,d,p)&&(L=w,w=k,k=L),c(A,M,r,n,d,p)&&(L=A,A=M,M=L);var S=r[w],C=n[2*w],z=n[2*w+1],P=d[w],R=p[w],O=r[A],I=n[2*A],N=n[2*A+1],j=d[A],F=p[A],D=_,B=k,U=M,V=v,q=y,H=m,G=r[D],Y=r[B],X=r[U];r[V]=G,r[q]=Y,r[H]=X;for(var W=0;2>W;++W){var Z=n[2*D+W],K=n[2*B+W],Q=n[2*U+W];n[2*V+W]=Z,n[2*q+W]=K,n[2*H+W]=Q}var $=d[D],J=d[B],tt=d[U];d[V]=$,d[q]=J,d[H]=tt;var et=p[D],rt=p[B],nt=p[U];p[V]=et,p[q]=rt,p[H]=nt,o(b,t,r,n,d,p),o(x,e,r,n,d,p);for(var it=T;E>=it;++it)if(u(it,S,C,z,P,r,n,d))it!==T&&a(it,T,r,n,d,p),++T;else if(!u(it,O,I,N,j,r,n,d))for(;;){if(u(E,O,I,N,j,r,n,d)){u(E,S,C,z,P,r,n,d)?(s(it,T,E,r,n,d,p),++T,--E):(a(it,E,r,n,d,p),--E);break}if(--E=T-2-t?i(t,T-2,r,n,d,p):f(t,T-2,r,n,d,p),h>=e-(E+2)?i(E+2,e,r,n,d,p):f(E+2,e,r,n,d,p),h>=E-T?i(T,E,r,n,d,p):f(T,E,r,n,d,p)}e.exports=n;var h=32},{}],148:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s){for(var l=r,c=r;n>c;++c){var u=t[2*c],f=t[2*c+1],h=e[c];u>=i&&o>=u&&f>=a&&s>=f&&(c===l?l+=1:(t[2*c]=t[2*l],t[2*c+1]=t[2*l+1],e[c]=e[l],t[2*l]=u,t[2*l+1]=f,e[l]=h,l+=1))}return l}function i(t,e,r){this.pixelSize=t,this.offset=e,this.count=r}function a(t,e,r,a){function l(i,a,o,s,c,u){var f=.5*o,h=s+1,d=c-s;r[_]=d,x[_++]=u;for(var p=0;2>p;++p)for(var g=0;2>g;++g){var v=i+p*f,m=a+g*f,y=n(t,e,h,c,v,m,v+f,m+f);if(y!==h){if(y-h>=Math.max(.9*d,32)){var b=c+s>>>1;l(v,m,f,h,b,u+1),h=b}l(v,m,f,h,y,u+1),h=y}}}var c=t.length>>>1;if(1>c)return[];for(var u=1/0,f=1/0,h=-(1/0),d=-(1/0),p=0;c>p;++p){var g=t[2*p],v=t[2*p+1];u=Math.min(u,g),h=Math.max(h,g),f=Math.min(f,v),d=Math.max(d,v),e[p]=p}u===h&&(h+=1+Math.abs(h)),f===d&&(d+=1+Math.abs(h));var m=1/(h-u),y=1/(d-f),b=Math.max(h-u,d-f);a=a||[0,0,0,0],a[0]=u,a[1]=f,a[2]=h,a[3]=d;var x=o.mallocInt32(c),_=0;l(u,f,b,0,c,0),s(x,t,e,r,c);for(var w=[],k=0,A=c,_=c-1;_>=0;--_){t[2*_]=(t[2*_]-u)*m,t[2*_+1]=(t[2*_+1]-f)*y;var M=x[_];M!==k&&(w.push(new i(b*Math.pow(.5,M),_+1,A-(_+1))),A=_+1,k=M)}return w.push(new i(b*Math.pow(.5,M+1),0,A)),o.free(x),w}var o=t("typedarray-pool"),s=t("./lib/sort");e.exports=a},{"./lib/sort":147,"typedarray-pool":237}],149:[function(t,e,r){"use strict";function n(t,e,r,n,i,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.weightBuffer=n,this.shader=i,this.pickShader=a,this.scales=[],this.size=12,this.borderSize=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.bounds=[1/0,1/0,-(1/0),-(1/0)],this.pickOffset=0,this.points=null,this.xCoords=null}function i(t,e){var r=t.gl,i=o(r),s=o(r),l=o(r),c=a(r,u.pointVertex,u.pointFragment),f=a(r,u.pickVertex,u.pickFragment),h=new n(t,i,s,l,c,f);return h.update(e),t.addObject(h),h}var a=t("gl-shader"),o=t("gl-buffer"),s=t("binary-search-bounds"),l=t("snap-points-2d"),c=t("typedarray-pool"),u=t("./lib/shader");e.exports=i;var f=n.prototype;f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.xCoords&&c.free(this.xCoords),this.plot.removeObject(this)},f.update=function(t){function e(e,r){return e in t?t[e]:r}t=t||{},this.size=e("size",12),this.color=e("color",[1,0,0,1]).slice(),this.borderSize=e("borderSize",1),this.borderColor=e("borderColor",[0,0,0,1]).slice(),this.xCoords&&c.free(this.xCoords);var r=t.positions,n=c.mallocFloat32(r.length),i=c.mallocInt32(r.length>>>1);n.set(r);var a=c.mallocFloat32(r.length);this.points=r,this.scales=l(n,i,a,this.bounds),this.offsetBuffer.update(n),this.pickBuffer.update(i),this.weightBuffer.update(a);for(var o=c.mallocFloat32(r.length>>>1),s=0,u=0;s>>1,this.pickOffset=0},f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.scales,o=this.offsetBuffer,l=this.pickBuffer,c=this.bounds,u=this.size,f=this.borderSize,h=n.gl,d=n.pickPixelRatio,p=n.viewBox,g=n.dataBox;if(0===this.pointCount)return r;var v=c[2]-c[0],m=c[3]-c[1],y=g[2]-g[0],b=g[3]-g[1],x=(p[2]-p[0])*d/n.pixelRatio,_=(p[3]-p[1])*d/n.pixelRatio,w=Math.min(y/x,b/_);t[0]=2*v/y,t[4]=2*m/b,t[6]=2*(c[0]-g[0])/y-1,t[7]=2*(c[1]-g[1])/b-1,this.pickOffset=r,e[0]=255&r,e[1]=r>>8&255,e[2]=r>>16&255,e[3]=r>>24&255,i.bind(),i.uniforms.matrix=t,i.uniforms.color=this.color,i.uniforms.borderColor=this.borderColor,i.uniforms.pointSize=d*(u+f),i.uniforms.pickOffset=e,0===this.borderSize?i.uniforms.centerFraction=2:i.uniforms.centerFraction=u/(u+f+1.25),o.bind(),i.attributes.position.pointer(),l.bind(),i.attributes.pickId.pointer(h.UNSIGNED_BYTE);for(var k=this.xCoords,A=(g[0]-c[0]-w*u*d)/v,M=(g[2]-c[0]+w*u*d)/v,T=a.length-1;T>=0;--T){var E=a[T];if(!(E.pixelSize1)){var L=E.offset,S=E.count+L,C=s.ge(k,A,L,S-1),z=s.lt(k,M,C,S-1)+1;z>C&&h.drawArrays(h.POINTS,C,z-C)}}return r+this.pointCount}}(),f.draw=function(){var t=[1,0,0,0,1,0,0,0,1];return function(){var e=this.plot,r=this.shader,n=this.scales,i=this.offsetBuffer,a=this.bounds,o=this.size,l=this.borderSize,c=e.gl,u=e.pixelRatio,f=e.viewBox,h=e.dataBox;if(0!==this.pointCount){var d=a[2]-a[0],p=a[3]-a[1],g=h[2]-h[0],v=h[3]-h[1],m=f[2]-f[0],y=f[3]-f[1],b=Math.min(g/m,v/y);t[0]=2*d/g,t[4]=2*p/v,t[6]=2*(a[0]-h[0])/g-1,t[7]=2*(a[1]-h[1])/v-1,r.bind(),r.uniforms.matrix=t,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointSize=u*(o+l),r.uniforms.useWeight=1,0===this.borderSize?r.uniforms.centerFraction=2:r.uniforms.centerFraction=o/(o+l+1.25),i.bind(),r.attributes.position.pointer(),this.weightBuffer.bind(),r.attributes.weight.pointer();for(var x=this.xCoords,_=(h[0]-a[0]-b*o*u)/d,w=(h[2]-a[0]+b*o*u)/d,k=!0,A=n.length-1;A>=0;--A){var M=n[A];if(!(M.pixelSize1)){var T=M.offset,E=M.count+T,L=s.ge(x,_,T,E-1),S=s.lt(x,w,L,E-1)+1;S>L&&c.drawArrays(c.POINTS,L,S-L),k&&(k=!1,r.uniforms.useWeight=0)}}}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(n>r||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{"./lib/shader":145,"binary-search-bounds":146,"gl-buffer":77,"gl-shader":156,"snap-points-2d":148,"typedarray-pool":237}],150:[function(t,e,r){"use strict";function n(t,e){var r=a[e];if(r||(r=a[e]={}),t in r)return r[t];for(var n=i(t,{textAlign:"center",textBaseline:"middle",lineHeight:1,font:e}),o=i(t,{triangles:!0,textAlign:"center",textBaseline:"middle",lineHeight:1,font:e}),s=[[1/0,1/0],[-(1/0),-(1/0)]],l=0;lu;++u)s[0][u]=Math.min(s[0][u],c[u]),s[1][u]=Math.max(s[1][u],c[u]);return r[t]=[o,n,s]}var i=t("vectorize-text");e.exports=n;var a={}},{"vectorize-text":239}],151:[function(t,e,r){function n(t,e){var r=i(t,e),n=r.attributes;return n.position.location=0,n.color.location=1,n.glyph.location=2,n.id.location=3,r}var i=t("gl-shader"),a="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || \n any(greaterThan(position, clipBounds[1])) ) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n \n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}",o="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n \n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}",s="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) ||\n any(greaterThan(position, clipBounds[1])) ) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n",l="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(dataCoordinate, fragClipBounds[0])) ||\n any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\n discard;\n } else {\n gl_FragColor = interpColor * opacity;\n }\n}\n",c="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(dataCoordinate, fragClipBounds[0])) || \n any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\n discard;\n } else {\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n }\n}",u=[{
-name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},d={vertex:s,fragment:l,attributes:u},p={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},v={vertex:s,fragment:c,attributes:u};r.createPerspective=function(t){return n(t,f)},r.createOrtho=function(t){return n(t,h)},r.createProject=function(t){return n(t,d)},r.createPickPerspective=function(t){return n(t,p)},r.createPickOrtho=function(t){return n(t,g)},r.createPickProject=function(t){return n(t,v)}},{"gl-shader":156}],152:[function(t,e,r){"use strict";function n(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function i(t,e,r,i){return n(i,i,r),n(i,i,e),n(i,i,t)}function a(t,e){this.index=t,this.dataCoordinate=this.position=e}function o(t,e,r,n,i,o,s,l,c,u,f,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=o,this.glyphBuffer=s,this.idBuffer=l,this.vao=c,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=f,this.pickProjectShader=h,this.points=[],this._selectResult=new a(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-(1/0),-(1/0),-(1/0)]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-(1/0),-(1/0),-(1/0)],[1/0,1/0,1/0]],this.dirty=!0}function s(t){return t[0]=t[1]=t[2]=0,t}function l(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function c(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function u(t){for(var e=S,r=0;2>r;++r)for(var n=0;3>n;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}function f(t,e,r,n,a){var o,f=e.axesProject,h=e.gl,d=t.uniforms,p=r.model||x,g=r.view||x,v=r.projection||x,y=e.axesBounds,b=u(e.clipBounds);o=e.axes?e.axes.lastCubeProps.axis:[1,1,1],w[0]=2/h.drawingBufferWidth,w[1]=2/h.drawingBufferHeight,t.bind(),d.view=g,d.projection=v,d.screenSize=w,d.highlightId=e.highlightId,d.highlightScale=e.highlightScale,d.clipBounds=b,d.pickGroup=e.pickId/255,d.pixelRatio=e.pixelRatio;for(var _=0;3>_;++_)if(f[_]&&e.projectOpacity[_]<1===n){d.scale=e.projectScale[_],d.opacity=e.projectOpacity[_];for(var S=E,C=0;16>C;++C)S[C]=0;for(var C=0;4>C;++C)S[5*C]=1;S[5*_]=0,o[_]<0?S[12+_]=y[0][_]:S[12+_]=y[1][_],m(S,p,S),d.model=S;var z=(_+1)%3,P=(_+2)%3,R=s(k),O=s(A);R[z]=1,O[P]=1;var I=i(v,g,p,l(M,R)),N=i(v,g,p,l(T,O));if(Math.abs(I[1])>Math.abs(N[1])){var j=I;I=N,N=j,j=R,R=O,O=j;var F=z;z=P,P=F}I[0]<0&&(R[z]=-1),N[1]>0&&(O[P]=-1);for(var D=0,B=0,C=0;4>C;++C)D+=Math.pow(p[4*z+C],2),B+=Math.pow(p[4*P+C],2);R[z]/=Math.sqrt(D),O[P]/=Math.sqrt(B),d.axes[0]=R,d.axes[1]=O,d.fragClipBounds[0]=c(L,b[0],_,-1e8),d.fragClipBounds[1]=c(L,b[1],_,1e8),e.vao.draw(h.TRIANGLES,e.vertexCount),e.lineWidth>0&&(h.lineWidth(e.lineWidth),e.vao.draw(h.LINES,e.lineVertexCount,e.vertexCount))}}function h(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||x,s.view=n.view||x,s.projection=n.projection||x,w[0]=2/o.drawingBufferWidth,w[1]=2/o.drawingBufferHeight,s.screenSize=w,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=P,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}f(e,r,n,i,a),r.vao.unbind()}function d(t){var e=t.gl,r=y.createPerspective(e),n=y.createOrtho(e),i=y.createProject(e),a=y.createPickPerspective(e),s=y.createPickOrtho(e),l=y.createPickProject(e),c=p(e),u=p(e),f=p(e),h=p(e),d=g(e,[{buffer:c,size:3,type:e.FLOAT},{buffer:u,size:4,type:e.FLOAT},{buffer:f,size:2,type:e.FLOAT},{buffer:h,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new o(e,r,n,i,c,u,f,h,d,a,s,l);return v.update(t),v}var p=t("gl-buffer"),g=t("gl-vao"),v=t("typedarray-pool"),m=t("gl-mat4/multiply"),y=t("./lib/shaders"),b=t("./lib/glyphs"),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];e.exports=d;var _=o.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;3>t;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},_.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;3>t;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var w=[0,0],k=[0,0,0],A=[0,0,0],M=[0,0,0,1],T=[0,0,0,1],E=x.slice(),L=[0,0,0],S=[[0,0,0],[0,0,0]],C=[-1e8,-1e8,-1e8],z=[1e8,1e8,1e8],P=[C,z];_.draw=function(t){var e=this.useOrtho?this.orthoShader:this.shader;h(e,this.projectShader,this,t,!1,!1)},_.drawTransparent=function(t){var e=this.useOrtho?this.orthoShader:this.shader;h(e,this.projectShader,this,t,!0,!1)},_.drawPick=function(t){var e=this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader;h(e,this.pickProjectShader,this,t,!1,!0)},_.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||0>e)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;3>i;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},_.update=function(t){if(t=t||{},"perspective"in t&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if("projectOpacity"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{var r=+t.projectOpacity;this.projectOpacity=[r,r,r]}"opacity"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||"normal",a=t.alignment||[0,0],o=[1/0,1/0,1/0],s=[-(1/0),-(1/0),-(1/0)],l=t.glyph,c=t.color,u=t.size,f=t.angle,h=t.lineColor,d=0,p=0,g=0,m=n.length;t:for(var y=0;m>y;++y){for(var x=n[y],_=0;3>_;++_)if(isNaN(x[_])||!isFinite(x[_]))continue t;var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b("\u25cf",i);var k=w[0],A=w[1],M=w[2];p+=3*k.cells.length,g+=2*A.edges.length}var T=p+g,E=v.mallocFloat(3*T),L=v.mallocFloat(4*T),S=v.mallocFloat(2*T),C=v.mallocUint32(T),z=[0,a[1]],P=0,R=p,O=[0,0,0,1],I=[0,0,0,1],N=Array.isArray(c)&&Array.isArray(c[0]),j=Array.isArray(h)&&Array.isArray(h[0]);t:for(var y=0;m>y;++y){for(var x=n[y],_=0;3>_;++_){if(isNaN(x[_])||!isFinite(x[_])){d+=1;continue t}s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_])}var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b("\u25cf",i);var k=w[0],A=w[1],M=w[2];if(Array.isArray(c)){var F;if(F=N?c[y]:c,3===F.length){for(var _=0;3>_;++_)O[_]=F[_];O[3]=1}else if(4===F.length)for(var _=0;4>_;++_)O[_]=F[_]}else O[0]=O[1]=O[2]=0,O[3]=1;if(Array.isArray(h)){var F;if(F=j?h[y]:h,3===F.length){for(var _=0;3>_;++_)I[_]=F[_];I[_]=1}else if(4===F.length)for(var _=0;4>_;++_)I[_]=F[_]}else I[0]=I[1]=I[2]=0,I[3]=1;var D=.5;Array.isArray(u)?D=+u[y]:u?D=+u:this.useOrtho&&(D=12);var B=0;Array.isArray(f)?B=+f[y]:f&&(B=+f);for(var U=Math.cos(B),V=Math.sin(B),x=n[y],_=0;3>_;++_)s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_]);a[0]<0?z[0]=a[0]*(1+M[1][0]):a[0]>0&&(z[0]=-a[0]*(1+M[0][0]));for(var q=k.cells,H=k.positions,_=0;_Y;++Y){for(var X=0;3>X;++X)E[3*P+X]=x[X];for(var X=0;4>X;++X)L[4*P+X]=O[X];C[P]=d;var W=H[G[Y]];S[2*P]=D*(U*W[0]-V*W[1]+z[0]),S[2*P+1]=D*(V*W[0]+U*W[1]+z[1]),P+=1}for(var q=A.edges,H=A.positions,_=0;_Y;++Y){for(var X=0;3>X;++X)E[3*R+X]=x[X];for(var X=0;4>X;++X)L[4*R+X]=I[X];C[R]=d;var W=H[G[Y]];S[2*R]=D*(U*W[0]-V*W[1]+z[0]),S[2*R+1]=D*(V*W[0]+U*W[1]+z[1]),R+=1}d+=1}this.vertexCount=p,this.lineVertexCount=g,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(S),this.idBuffer.update(new 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n(t){this.plot=t,this.enable=[!0,!0,!1,!1],this.width=[1,1,1,1],this.color=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.center=[1/0,1/0]}function i(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r}e.exports=i;var a=n.prototype;a.update=function(t){t=t||{},this.enable=(t.enable||[!0,!0,!1,!1]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map(function(t){return t.slice()}),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty()},a.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var 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GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z = clipPosition.z + zOffset;\n\n gl_Position = clipPosition;\n value = f;\n kill = -1.0;\n worldCoordinate = dataCoordinate;\n planeCoordinate = uv.zw;\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n",s="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 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r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=B;n.model=t.model||R,n.view=t.view||R,n.projection=t.projection||R,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.contourColor=this.contourColor[0],n.inverseModel=A(n.inverseModel,n.model);for(var i=0;2>i;++i)for(var a=n.clipBounds[i],s=0;3>s;++s)a[s]=Math.min(Math.max(this.clipBounds[i][s],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=V;var l=U;for(k(l,n.view,n.model),k(l,n.projection,l),A(l,l),i=0;3>i;++i)n.eyePosition[i]=l[12+i]/l[15];var c=l[15];for(i=0;3>i;++i)c+=this.lightPosition[i]*l[4*i+3];for(i=0;3>i;++i){var u=l[12+i];for(s=0;3>s;++s)u+=l[4*s+i]*this.lightPosition[s];n.lightPosition[i]=u/c}var f=o(n,this);if(f.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;3>i;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=f.projections[i],this._shader.uniforms.clipBounds=f.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(f.showContour&&!e){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var d=this._contourVAO;for(d.bind(),i=0;3>i;++i)for(h.uniforms.permutation=I[i],r.lineWidth(this.contourWidth[i]),s=0;si;++i)for(h.uniforms.model=f.projections[i],h.uniforms.clipBounds=f.clipBounds[i],s=0;3>s;++s)if(this.contourProject[i][s]){h.uniforms.permutation=I[s],r.lineWidth(this.contourWidth[s]);for(var p=0;pi;++i)if(0!==this._dynamicCounts[i])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=I[i],r.lineWidth(this.dynamicWidth[i]),h.uniforms.contourColor=this.dynamicColor[i],h.uniforms.contourTint=this.dynamicTint[i],h.uniforms.height=this.dynamicLevel[i],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),s=0;3>s;++s)this.contourProject[s][i]&&(h.uniforms.model=f.projections[s],h.uniforms.clipBounds=f.clipBounds[s],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}function l(t,e){var r=e.shape.slice(),n=t.shape.slice();b.assign(t.lo(1,1).hi(r[0],r[1]),e),b.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),b.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),b.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),b.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))}function c(t,e){return 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F=[0,0,0],D={showSurface:!1,showContour:!1,projections:[R.slice(),R.slice(),R.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]},B={model:R,view:R,projection:R,inverseModel:R.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1},U=R.slice(),V=[1,0,0,0,1,0,0,0,1];j.draw=function(t){return s.call(this,t,!1)},j.drawTransparent=function(t){return s.call(this,t,!0)};var q={model:R,view:R,projection:R,inverseModel:R,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};j.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=q;r.model=t.model||R,r.view=t.view||R,r.projection=t.projection||R,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=V;for(var n=0;2>n;++n)for(var i=r.clipBounds[n],a=0;3>a;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var s=o(r,this);if(s.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;3>n;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=s.projections[n],this._pickShader.uniforms.clipBounds=s.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(s.showContour){var l=this._contourPickShader;l.bind(),l.uniforms=r;var c=this._contourVAO;for(c.bind(),a=0;3>a;++a)for(e.lineWidth(this.contourWidth[a]),l.uniforms.permutation=I[a],n=0;nn;++n)for(l.uniforms.model=s.projections[n],l.uniforms.clipBounds=s.clipBounds[n],a=0;3>a;++a)if(this.contourProject[n][a]){l.uniforms.permutation=I[a],e.lineWidth(this.contourWidth[a]);for(var u=0;u>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;2>u;++u)for(var f=u?a:1-a,h=0;2>h;++h)for(var d=h?l:1-l,p=i+u,g=s+h,v=f*d,m=0;3>m;++m)c[m]+=this._field[m].get(p,g)*v;for(var y=this._pickResult.level,b=0;3>b;++b)if(y[b]=M.le(this.contourLevels[b],c[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]Math.abs(_-c[b])&&(y[b]+=1)}for(r.index[0]=.5>a?i:i+1,r.index[1]=.5>l?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],m=0;3>m;++m)r.dataCoordinate[m]=this._field[m].get(r.index[0],r.index[1]);return r},j.update=function(t){t=t||{},this.dirty=!0,"contourWidth"in t&&(this.contourWidth=c(t.contourWidth,Number)),"showContour"in t&&(this.showContour=c(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=c(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=f(t.contourColor)),"contourProject"in t&&(this.contourProject=c(t.contourProject,function(t){return c(t,Boolean)})),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=f(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=c(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=c(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"colorBounds"in t&&(this.colorBounds=t.colorBounds);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var n=(e.shape[0]+2)*(e.shape[1]+2);n>this._field[2].data.length&&(m.freeFloat(this._field[2].data),this._field[2].data=m.mallocFloat(d.nextPow2(n))),this._field[2]=_(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),l(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;2>o;++o)this._field[2].size>this._field[o].data.length&&(m.freeFloat(this._field[o].data),this._field[o].data=m.mallocFloat(this._field[2].size)),this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var s=t.coords;if(!Array.isArray(s)||3!==s.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;2>o;++o){var u=s[o];for(y=0;2>y;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");l(this._field[o],u)}}else if(t.ticks){var h=t.ticks;if(!Array.isArray(h)||2!==h.length)throw new Error("gl-surface: invalid ticks");for(o=0;2>o;++o){var p=h[o];if((Array.isArray(p)||p.length)&&(p=_(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var g=_(p.data,a);g.stride[o]=p.stride[0],g.stride[1^o]=0,l(this._field[o],g)}}else{for(o=0;2>o;++o){var v=[0,0];v[o]=1,this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;yo;++o)T(x.pick(o),b[o],"mirror");var k=_(m.mallocFloat(3*b[2].size),[a[0]+2,a[1]+2,3]);for(o=0;oI?(I=Math.max(Math.abs(z),Math.abs(P),Math.abs(R)),1e-8>I?(R=1,P=z=0,I=1):I=1/I):I=1/Math.sqrt(I),k.set(o,y,0,z*I),k.set(o,y,1,P*I),k.set(o,y,2,R*I)}m.free(x.data);var N=[1/0,1/0,1/0],j=[-(1/0),-(1/0),-(1/0)],F=1/0,D=-(1/0),B=(a[0]-1)*(a[1]-1)*6,U=m.mallocFloat(d.nextPow2(10*B)),V=0,q=0;for(o=0;oH;++H)for(var G=0;2>G;++G)for(var Y=0;3>Y;++Y){var X=this._field[Y].get(1+o+H,1+y+G);if(isNaN(X)||!isFinite(X))continue t}for(Y=0;6>Y;++Y){var W=o+O[Y][0],Z=y+O[Y][1],K=this._field[0].get(W+1,Z+1),Q=this._field[1].get(W+1,Z+1);X=this._field[2].get(W+1,Z+1);var $=X;z=k.get(W+1,Z+1,0),P=k.get(W+1,Z+1,1),R=k.get(W+1,Z+1,2),t.intensity&&($=t.intensity.get(W,Z)),U[V++]=W,U[V++]=Z,U[V++]=K,U[V++]=Q,U[V++]=X,U[V++]=0,U[V++]=$,U[V++]=z,U[V++]=P,U[V++]=R,N[0]=Math.min(N[0],K),N[1]=Math.min(N[1],Q),N[2]=Math.min(N[2],X),F=Math.min(F,$),j[0]=Math.max(j[0],K),j[1]=Math.max(j[1],Q),j[2]=Math.max(j[2],X),D=Math.max(D,$),q+=1}}for(t.intensityBounds&&(F=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;V>o;o+=10)U[o]=(U[o]-F)/(D-F);this._vertexCount=q,
-this._coordinateBuffer.update(U.subarray(0,V)),m.freeFloat(U),m.free(k.data),this.bounds=[N,j],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===F&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[F,D]}if("levels"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;3>o;++o)J[o]=J[o].slice(),J.sort(function(t,e){return t-e});t:for(o=0;3>o;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;yet;++et){J=this.contourLevels[et];var rt=[],nt=[],it=[0,0,0];for(o=0;oY;++Y){var st=at.positions[ot[Y]],lt=st[0],ct=0|Math.floor(lt),ut=lt-ct,ft=st[1],ht=0|Math.floor(ft),dt=ft-ht,pt=!1;e:for(var gt=0;3>gt;++gt){it[gt]=0;var vt=(et+gt+1)%3;for(H=0;2>H;++H){var mt=H?ut:1-ut;for(W=0|Math.min(Math.max(ct+H,0),a[0]),G=0;2>G;++G){var yt=G?dt:1-dt;if(Z=0|Math.min(Math.max(ht+G,0),a[1]),X=2>gt?this._field[vt].get(W,Z):(this.intensity.get(W,Z)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(X)||isNaN(X)){pt=!0;break e}var bt=mt*yt;it[gt]+=bt*X}}}if(pt){if(Y>0){for(var xt=0;5>xt;++xt)tt.pop();q-=1}continue t}tt.push(it[0],it[1],st[0],st[1],it[2]),q+=1}}nt.push(q)}this._contourOffsets[et]=rt,this._contourCounts[et]=nt}var _t=m.mallocFloat(tt.length);for(o=0;ot;++t)m.freeFloat(this._field[t].data)},j.highlight=function(t){if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(var e=0;3>e;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;var r;if(r=this.snapToData?t.dataCoordinate:t.position,this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=m.mallocFloat(12*i[0]*i[1]),o=0;3>o;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var s=(o+1)%3,l=(o+2)%3,c=this._field[o],u=this._field[s],f=this._field[l],h=(this.intensity,w(c,r[o])),d=h.cells,p=h.positions;for(this._dynamicOffsets[o]=n,e=0;ev;++v){var y=p[g[v]],b=+y[0],x=0|b,_=0|Math.min(x+1,i[0]),k=b-x,A=1-k,M=+y[1],T=0|M,E=0|Math.min(T+1,i[1]),L=M-T,S=1-L,C=A*S,z=A*L,P=k*S,R=k*L,O=C*u.get(x,T)+z*u.get(x,E)+P*u.get(_,T)+R*u.get(_,E),I=C*f.get(x,T)+z*f.get(x,E)+P*f.get(_,T)+R*f.get(_,E);if(isNaN(O)||isNaN(I)){v&&(n-=1);break}a[2*n+0]=O,a[2*n+1]=I,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),m.freeFloat(a)}}},{"./lib/shaders":175,"binary-search-bounds":176,"bit-twiddle":50,colormap:59,"gl-buffer":77,"gl-mat4/invert":96,"gl-mat4/multiply":98,"gl-texture2d":181,"gl-vao":185,ndarray:212,"ndarray-gradient":177,"ndarray-ops":211,"ndarray-pack":178,"surface-nets":231,"typedarray-pool":237}],181:[function(t,e,r){"use strict";function n(t){v=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],m=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],y=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function i(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(0>e||e>i||0>r||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function a(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}function o(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function s(t,e,r,n,i,a,s,l){var c=l.dtype,u=l.shape.slice();if(u.length<2||u.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var f=0,h=0,v=o(u,l.stride.slice());"float32"===c?f=t.FLOAT:"float64"===c?(f=t.FLOAT,v=!1,c="float32"):"uint8"===c?f=t.UNSIGNED_BYTE:(f=t.UNSIGNED_BYTE,v=!1,c="uint8");var m=1;if(2===u.length)h=t.LUMINANCE,u=[u[0],u[1],1],l=d(l.data,u,[l.stride[0],l.stride[1],1],l.offset);else{if(3!==u.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===u[2])h=t.ALPHA;else if(2===u[2])h=t.LUMINANCE_ALPHA;else if(3===u[2])h=t.RGB;else{if(4!==u[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");h=t.RGBA}m=u[2]}if(h!==t.LUMINANCE&&h!==t.ALPHA||i!==t.LUMINANCE&&i!==t.ALPHA||(h=i),h!==i)throw new Error("gl-texture2d: Incompatible texture format for setPixels");var y=l.size,x=s.indexOf(n)<0;if(x&&s.push(n),f===a&&v)0===l.offset&&l.data.length===y?x?t.texImage2D(t.TEXTURE_2D,n,i,u[0],u[1],0,i,a,l.data):t.texSubImage2D(t.TEXTURE_2D,n,e,r,u[0],u[1],i,a,l.data):x?t.texImage2D(t.TEXTURE_2D,n,i,u[0],u[1],0,i,a,l.data.subarray(l.offset,l.offset+y)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,u[0],u[1],i,a,l.data.subarray(l.offset,l.offset+y));else{var _;_=a===t.FLOAT?g.mallocFloat32(y):g.mallocUint8(y);var w=d(_,u,[u[2],u[2]*u[0],1]);f===t.FLOAT&&a===t.UNSIGNED_BYTE?b(w,l):p.assign(w,l),x?t.texImage2D(t.TEXTURE_2D,n,i,u[0],u[1],0,i,a,_.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,u[0],u[1],i,a,_.subarray(0,y)),a===t.FLOAT?g.freeFloat32(_):g.freeUint8(_)}}function l(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function c(t,e,r,n,i){var o=t.getParameter(t.MAX_TEXTURE_SIZE);if(0>e||e>o||0>r||r>o)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var s=l(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new a(t,s,e,r,n,i)}function u(t,e,r,n){var i=l(t);return t.texImage2D(t.TEXTURE_2D,0,r,r,n,e),new a(t,i,0|e.width,0|e.height,r,n)}function f(t,e){var r=e.dtype,n=e.shape.slice(),i=t.getParameter(t.MAX_TEXTURE_SIZE);if(n[0]<0||n[0]>i||n[1]<0||n[1]>i)throw new Error("gl-texture2d: Invalid texture size");var s=o(n,e.stride.slice()),c=0;"float32"===r?c=t.FLOAT:"float64"===r?(c=t.FLOAT,s=!1,r="float32"):"uint8"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,s=!1,r="uint8");var u=0;if(2===n.length)u=t.LUMINANCE,n=[n[0],n[1],1],e=d(e.data,n,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==n.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===n[2])u=t.ALPHA;else if(2===n[2])u=t.LUMINANCE_ALPHA;else if(3===n[2])u=t.RGB;else{if(4!==n[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");u=t.RGBA}}c!==t.FLOAT||t.getExtension("OES_texture_float")||(c=t.UNSIGNED_BYTE,s=!1);var f,h,v=e.size;if(s)f=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var m=[n[2],n[2]*n[0],1];h=g.malloc(v,r);var y=d(h,n,m,0);"float32"!==r&&"float64"!==r||c!==t.UNSIGNED_BYTE?p.assign(y,e):b(y,e),f=h.subarray(0,v)}var x=l(t);return t.texImage2D(t.TEXTURE_2D,0,u,n[0],n[1],0,u,c,f),s||g.free(h),new a(t,x,n[0],n[1],u,c)}function h(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");if(v||n(t),"number"==typeof arguments[1])return c(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return c(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1];if(e instanceof HTMLCanvasElement||e instanceof HTMLImageElement||e instanceof HTMLVideoElement||e instanceof ImageData)return u(t,e,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return f(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")}var d=t("ndarray"),p=t("ndarray-ops"),g=t("typedarray-pool");e.exports=h;var v=null,m=null,y=null,b=function(t,e){p.muls(t,e,255)},x=a.prototype;Object.defineProperties(x,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&v.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),m.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&v.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),m.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),y.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),y.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;2>e;++e)if(y.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return 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