[pull] master from ropensci:master

.gitignore

@@ -17,3 +17,5 @@ rsconnect/
 revdep/
 travis_debug.R
 .httr-oauth
+tests/testthat/Rplots.pdf
+inst/examples/shiny/event_data/tests/shinytest/mytest-current/

DESCRIPTION

@@ -35,9 +35,8 @@ Imports:
     viridisLite,
     base64enc,
     htmltools (>= 0.3.6),
-    htmlwidgets (>= 1.3),
+    htmlwidgets (>= 1.5.2.9001),
     tidyr,
-    hexbin,
     RColorBrewer,
     dplyr,
     vctrs,
@@ -51,6 +50,7 @@ Imports:
 Suggests:
     MASS,
     maps,
+    hexbin,
     ggthemes,
     GGally,
     testthat,
@@ -74,7 +74,8 @@ Suggests:
     processx,
     plotlyGeoAssets,
     forcats,
-    thematic
+    thematic,
+    palmerpenguins
 LazyData: true
 RoxygenNote: 7.1.1
 Encoding: UTF-8

NEWS.md

@@ -2,11 +2,13 @@
 
 ## Changes to plotly.js
 
-* This version of the R package upgrades the version of the underlying plotly.js library from v1.52.2 to v1.54.1. This includes many bug fixes and improvements. The [plotly.js release page](https://github.com/plotly/plotly.js/releases) has the full list of changes.
+* This version of the R package upgrades the version of the underlying plotly.js library from v1.52.2 to v1.57.1. This includes many bug fixes and improvements. The [plotly.js release page](https://github.com/plotly/plotly.js/releases) has the full list of changes.
 
 ## NEW FEATURES
 
-* `ggplotly()` now works well with the [**thematic** package](https://rstudio.github.io/thematic). That is, it can now correctly translate **ggplot2** styling that derives from **thematic**. Note that, in order to use **thematic**'s auto theming in Shiny with `ggplotly()`, you need **shiny** v1.5.0 (or higher) and **htmlwidgets** v1.5.1.9001 (or higher). Relatedly, if these versions are available, one may now also call `getCurrentOutputInfo()` inside `renderPlotly()` to get CSS styles of the output container (#1801 and #1802).
+* `renderPlotly()` now works well with `shiny::bindCache()`, meaning that plotly graphs can now be persistently cached in Shiny apps with `renderPlotly(expr) %>% shiny::bindCache()` (#1879).
+
+* `ggplotly()` now works well with the [**thematic** package](https://rstudio.github.io/thematic). That is, it can now correctly translate **ggplot2** styling that derives from **thematic**. Note that, in order to use **thematic**'s auto theming in Shiny with `ggplotly()`, you need **shiny** v1.5.0 (or higher) and **htmlwidgets** v1.5.2.9000 (or higher). Relatedly, if these versions are available, one may now also call `getCurrentOutputInfo()` inside `renderPlotly()` to get CSS styles of the output container (#1801 and #1802).
 
 ## IMPROVEMENTS
 
@@ -16,12 +18,16 @@
 
 ## BUG FIXES
 
+* When R's `POSIXt` class is serialized to JSON, the time of day is now correctly preserved (in plotly.js expected `'yyyy-mm-dd HH:MM:SS.ssssss'` format). This should fix a whole host of issues where date-times were being rounded. (#1871, @FlukeAndFeather).
+
 * `ggplotly()` now handles discrete axes of a `facet_wrap` and `facet_grid` correctly when there is only one category in panels > 1 (#1577 and #1720).
 
 * `ggplotly()` now correctly accounts for linebreaks in tick label text when computing plot margins (#1791, @trekonom).
 
 * `ggplotly()` now handles `element_blank()` and `factor()` labels in positional scales correctly (#1731 and #1772).
 
+* `ggplotly()` now handles missing `y` aesthetic in `geom_errorbar()` (#1779, @trekonom).
+
 # 4.9.2.1
 
 This is minor patch release with a few minor bug fixes and updates test expectations in anticipation of new R 4.0 defaults.

R/ggplotly.R

@@ -36,8 +36,9 @@
 #' @seealso [plot_ly()]
 #' @examples \dontrun{
 #' # simple example
-#' ggiris <- qplot(Petal.Width, Sepal.Length, data = iris, color = Species)
-#' ggplotly(ggiris)
+#' ggpenguins <- qplot(bill_length_mm , body_mass_g, 
+#' data = palmerpenguins::penguins, color = species)
+#' ggplotly(ggpenguins)
 #'
 #' data(canada.cities, package = "maps")
 #' viz <- ggplot(canada.cities, aes(long, lat)) +
@@ -58,7 +59,7 @@
 #' demo("crosstalk-highlight-ggplotly", package = "plotly")
 #' 
 #' # client-side linked brushing in a scatterplot matrix
-#' highlight_key(iris) %>%
+#' highlight_key(palmerpenguins::penguins) %>%
 #'   GGally::ggpairs(aes(colour = Species), columns = 1:4) %>%
 #'   ggplotly(tooltip = c("x", "y", "colour")) %>%
 #'   highlight("plotly_selected")
@@ -175,12 +176,12 @@ gg2list <- function(p, width = NULL, height = NULL,
 
   # To convert relative sizes correctly, we use grid::convertHeight(),
   # which requires a known output (device) size.
-  dev_fun <- if (system.file(package = "Cairo") != "") {
-    Cairo::Cairo
-  } else if (capabilities("png")) {
+  dev_fun <- if (capabilities("aqua") || capabilities("png")) {
     grDevices::png
   } else if (capabilities("jpeg")) {
     grDevices::jpeg 
+  } else if (system.file(package = "Cairo") != "") {
+    Cairo::Cairo
   } else {
     stop(
       "No Cairo or bitmap device is available. Such a graphics device is required to convert sizes correctly in ggplotly().\n\n", 
@@ -1131,6 +1132,10 @@ gg2list <- function(p, width = NULL, height = NULL,
 }
 
 
+# Due to the non-standard use of assign() in g2list() (above)
+utils::globalVariables(c("groupDomains", "layers", "prestats_data", "scales", "sets"))
+
+
 #-----------------------------------------------------------------------------
 # ggplotly 'utility' functions
 #-----------------------------------------------------------------------------

R/layers2traces.R

@@ -451,7 +451,11 @@ to_basic.GeomErrorbar <- function(data, prestats_data, layout, params, p, ...) {
   # width for ggplot2 means size of the entire bar, on the data scale
   # (plotly.js wants half, in pixels)
   data <- merge(data, layout$layout, by = "PANEL", sort = FALSE)
-  data$width <- (data[["xmax"]] - data[["x"]]) /(data[["x_max"]] - data[["x_min"]])
+  data$width <- if (params[["flipped_aes"]]) {
+    (data[["ymax"]] - data[["y"]]) /(data[["y_max"]] - data[["y_min"]])  
+  } else {
+    (data[["xmax"]] - data[["x"]]) /(data[["x_max"]] - data[["x_min"]])
+  }
   data$fill <- NULL
   prefix_class(data, "GeomErrorbar")
 }
@@ -873,7 +877,17 @@ geom2trace.GeomTile <- function(data, params, p) {
 
 #' @export
 geom2trace.GeomErrorbar <- function(data, params, p) {
-  make_error(data, params, "y")
+  # Support of bi-directional GeomErrorbar introduced with ggplot2 3.3.0
+  # g <- ggplot() + geom_errorbar(aes(y = "A", xmin = 1, xmax = 2))
+  # ggplotly(g)
+# Support of bi-directional GeomErrorbar introduced with ggplot2 3.3.0:
+# g <- ggplot() + geom_errorbar(aes(y = "A", xmin = 1, xmax = 2))
+# ggplotly(g)
+if (params[["flipped_aes"]]) { 
+    make_error(data, params, "x")
+  } else {
+    make_error(data, params, "y")
+  }
 }
 
 #' @export
@@ -951,6 +965,8 @@ hover_on <- function(data) {
 
 # make trace with errorbars
 make_error <- function(data, params, xy = "x") {
+  # if xy is NULL: set xy to mean of xy_min and xy_max
+  data[[xy]] <- data[[xy]] %||% ((data[[paste0(xy, "min")]] + data[[paste0(xy, "max")]]) / 2)  
   color <- aes2plotly(data, params, "colour")
   e <- list(
     x = data[["x"]],

R/plotly.R

@@ -118,12 +118,12 @@
 #' # You might notice plot_ly() has named arguments that aren't in this 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)
+#' p <- plot_ly(palmerpenguins::penguins, x = ~bill_length_mm, y = ~body_mass_g)
+#' add_markers(p, color = ~bill_depth_mm, size = ~bill_depth_mm)
+#' add_markers(p, color = ~species)
+#' add_markers(p, color = ~species, colors = "Set1")
+#' add_markers(p, symbol = ~species)
+#' add_paths(p, linetype = ~species)
 #' 
 #' }
 #' 
@@ -479,7 +479,7 @@ typedArrayPolyfill <- function() {
 plotlyMainBundle <- function() {
   htmltools::htmlDependency(
     name = "plotly-main", 
-    version = "1.54.1",
+    version = "1.57.1",
     package = "plotly",
     src = dependency_dir("plotlyjs"),
     script = "plotly-latest.min.js",

R/shiny.R

@@ -34,7 +34,7 @@ plotlyOutput <- function(outputId, width = "100%", height = "400px",
     package = "plotly",
     reportSize = TRUE
   )
-  if (is_available("shiny", "1.4.0.9003") && is_available("htmlwidgets", "1.5.1.9001")) {
+  if (is_available("shiny", "1.4.0.9003") && is_available("htmlwidgets", "1.5.2.9000")) {
     args$reportTheme <- reportTheme
   }
   do.call(htmlwidgets::shinyWidgetOutput, args)
@@ -55,9 +55,10 @@ renderPlotly <- function(expr, env = parent.frame(), quoted = FALSE) {
   # objects to renderPlotly() (e.g., ggplot2, promises). It also is used 
   # to inform event_data about what events have been registered
   shiny::installExprFunction(expr, "func", env, quoted)
-  expr <- quote(getFromNamespace("prepareWidget", "plotly")(func()))
-  local_env <- environment()
-  renderFunc <- shinyRenderWidget(expr, plotlyOutput, local_env, quoted)
+  expr2 <- quote(getFromNamespace("prepareWidget", "plotly")(func()))
+  renderFunc <- shinyRenderWidget(expr2, plotlyOutput, environment(), quoted,
+    cacheHint = list(label = "renderPlotly", userExpr = expr)
+  )
   # remove 'internal' plotly attributes that are known to cause false
   # positive test results in shinytest (snapshotPreprocessOutput was added 
   # in shiny 1.0.3.9002, but we require >= 1.1)

R/utils.R

@@ -1021,7 +1021,8 @@ try_file <- function(f, what) {
 # preferred defaults for toJSON mapping
 to_JSON <- function(x, ...) {
   jsonlite::toJSON(x, digits = 50, auto_unbox = TRUE, force = TRUE,
-                   null = "null", na = "null", ...)
+                   null = "null", na = "null", 
+                   time_format = "%Y-%m-%d %H:%M:%OS6",  ...)
 }
 
 # preferred defaults for toJSON mapping

inst/docker/Dockerfile.vtest

@@ -52,21 +52,16 @@ RUN R -e "update.packages(ask = F); invisible(lapply(list('devtools', 'roxygen2'
 RUN add-apt-repository ppa:ubuntugis/ubuntugis-unstable --yes \
  && apt-get -y update \
  && apt-get install -y libudunits2-dev libproj-dev libgeos-dev libgdal-dev
+
+# ragg dependencies
+RUN apt-get install -y libharfbuzz-dev libfribidi-dev
 
 # Install all plotly's dependencies
 RUN R -e "install.packages('plotly', dependencies = T)"
 
 # system dependencies related to running orca
-RUN apt-get install -y \
-    libgtk2.0-0 \
-    libgconf-2-4 \
-    xvfb \
-    xauth \
-    libxtst6 \
-    libxss1 \
-    libnss3 \
-    libasound2 \
-    desktop-file-utils
+RUN apt-get -y update \
+ && apt-get install -y libgtk2.0-0 libgconf-2-4 xvfb xauth libxtst6 libxss1 libnss3 libasound2 desktop-file-utils
 
 # google chrome
 RUN wget -q -O - https://dl-ssl.google.com/linux/linux_signing_key.pub | apt-key add - && \
@@ -88,16 +83,16 @@ RUN mkdir -p /opt/orca \
 ENV VDIFFR=true
 EXPOSE 3838
 
-
+ARG CRANCACHE=1
 RUN R -e "update.packages(ask=FALSE)"
 RUN R -e "remotes::install_github('r-lib/vdiffr')"
 
 # install any new dependencies, then either manage cases (the default) or run tests
 # note the workaround to get docker to run a proper exit status when there are testthat errors
 # https://github.com/r-lib/testthat/issues/515#issuecomment-304169376
-CMD R -e "remotes::install_deps(dep = TRUE)"
 
-CMD cd /home/plotly; R -e "if (!identical(Sys.getenv('VMODE'), 'ci')) vdiffr::manage_cases(); \
+CMD cd /home/plotly; R -e "remotes::install_deps(dependencies = T); \
+if (!identical(Sys.getenv('VMODE'), 'ci')) vdiffr::manage_cases(); \
   res <- devtools::test(reporter='summary'); \
   df <- as.data.frame(res); \
   if (sum(df\$failed) > 0 || any(df\$error)) q(status=1)"

inst/examples/shiny/event_data/tests/shinytest/mytest-expected/001.json

@@ -439,9 +439,9 @@
         },
         {
           "name": "plotly-htmlwidgets-css",
-          "version": "1.54.1",
+          "version": "1.57.1",
           "src": {
-            "href": "plotly-htmlwidgets-css-1.54.1"
+            "href": "plotly-htmlwidgets-css-1.57.1"
           },
           "meta": null,
           "script": null,
@@ -452,9 +452,9 @@
         },
         {
           "name": "plotly-main",
-          "version": "1.54.1",
+          "version": "1.57.1",
           "src": {
-            "href": "plotly-main-1.54.1"
+            "href": "plotly-main-1.57.1"
           },
           "meta": null,
           "script": "plotly-latest.min.js",

inst/examples/shiny/event_data/tests/shinytest/mytest-expected/002.json

@@ -456,9 +456,9 @@
         },
         {
           "name": "plotly-htmlwidgets-css",
-          "version": "1.54.1",
+          "version": "1.57.1",
           "src": {
-            "href": "plotly-htmlwidgets-css-1.54.1"
+            "href": "plotly-htmlwidgets-css-1.57.1"
           },
           "meta": null,
           "script": null,
@@ -469,9 +469,9 @@
         },
         {
           "name": "plotly-main",
-          "version": "1.54.1",
+          "version": "1.57.1",
           "src": {
-            "href": "plotly-main-1.54.1"
+            "href": "plotly-main-1.57.1"
           },
           "meta": null,
           "script": "plotly-latest.min.js",

inst/examples/shiny/event_data/tests/shinytest/mytest-expected/003.json

@@ -460,9 +460,9 @@
         },
         {
           "name": "plotly-htmlwidgets-css",
-          "version": "1.54.1",
+          "version": "1.57.1",
           "src": {
-            "href": "plotly-htmlwidgets-css-1.54.1"
+            "href": "plotly-htmlwidgets-css-1.57.1"
           },
           "meta": null,
           "script": null,
@@ -473,9 +473,9 @@
         },
         {
           "name": "plotly-main",
-          "version": "1.54.1",
+          "version": "1.57.1",
           "src": {
-            "href": "plotly-main-1.54.1"
+            "href": "plotly-main-1.57.1"
           },
           "meta": null,
           "script": "plotly-latest.min.js",

inst/examples/shiny/event_data/tests/shinytest/mytest-expected/004.json

@@ -461,9 +461,9 @@
         },
         {
           "name": "plotly-htmlwidgets-css",
-          "version": "1.54.1",
+          "version": "1.57.1",
           "src": {
-            "href": "plotly-htmlwidgets-css-1.54.1"
+            "href": "plotly-htmlwidgets-css-1.57.1"
           },
           "meta": null,
           "script": null,
@@ -474,9 +474,9 @@
         },
         {
           "name": "plotly-main",
-          "version": "1.54.1",
+          "version": "1.57.1",
           "src": {
-            "href": "plotly-main-1.54.1"
+            "href": "plotly-main-1.57.1"
           },
           "meta": null,
           "script": "plotly-latest.min.js",