diff --git a/dev/articles/profiling.html b/dev/articles/profiling.html index 1eebbd7634..25c379a7da 100644 --- a/dev/articles/profiling.html +++ b/dev/articles/profiling.html @@ -130,7 +130,7 @@

Thomas Lin profile
-

In general, a minimal plot is used so that profiles are focused on +

In general, a minimal plot is used so that profiles are focused on low-level, general code, rather than implementations of specific geoms. This might be expanded at the point where improving performance of specific geoms becomes a focus. Further, the profile focuses on the diff --git a/dev/news/index.html b/dev/news/index.html index 019df1cbe1..8e40bf7d27 100644 --- a/dev/news/index.html +++ b/dev/news/index.html @@ -196,6 +196,7 @@

stat_bin() (@teunbrand, #3449)

  • coord_sf() no longer errors when dealing with empty graticules (@teunbrand, #6052)

  • Added theme_transparent() with transparent backgrounds (@topepo).

    • +

  • New theme elements palette.{aes}.discrete and palette.{aes}.continuous. Theme palettes replace palettes in scales where palette = NULL, which is the new default in many scales (@teunbrand, #4696).

    • ggplot2 3.5.1

    CRAN release: 2024-04-23

    diff --git a/dev/pkgdown.yml b/dev/pkgdown.yml index 1f4887ca63..9600420109 100644 --- a/dev/pkgdown.yml +++ b/dev/pkgdown.yml @@ -13,7 +13,7 @@ articles: ggplot2-specs: ggplot2-specs.html ggplot2: ggplot2.html profiling: profiling.html -last_built: 2024-12-02T10:13Z +last_built: 2024-12-02T10:24Z urls: reference: https://ggplot2.tidyverse.org/reference article: https://ggplot2.tidyverse.org/articles diff --git a/dev/reference/benchplot.html b/dev/reference/benchplot.html index e556847899..64deff5ee4 100644 --- a/dev/reference/benchplot.html +++ b/dev/reference/benchplot.html @@ -91,29 +91,29 @@

    ArgumentsExamples

    benchplot(ggplot(mtcars, aes(mpg, wt)) + geom_point())
 #>        step user.self sys.self elapsed
-#> 1 construct     0.003        0   0.003
-#> 2     build     0.020        0   0.021
-#> 3    render     0.019        0   0.019
-#> 4      draw     0.018        0   0.019
-#> 5     TOTAL     0.060        0   0.062
+#> 1 construct     0.002        0   0.002
+#> 2     build     0.020        0   0.020
+#> 3    render     0.018        0   0.019
+#> 4      draw     0.018        0   0.018
+#> 5     TOTAL     0.058        0   0.059
 benchplot(ggplot(mtcars, aes(mpg, wt)) + geom_point() + facet_grid(. ~ cyl))
 #>        step user.self sys.self elapsed
 #> 1 construct     0.003        0   0.003
-#> 2     build     0.021        0   0.021
-#> 3    render     0.047        0   0.046
-#> 4      draw     0.032        0   0.033
-#> 5     TOTAL     0.103        0   0.103
+#> 2     build     0.021        0   0.020
+#> 3    render     0.043        0   0.043
+#> 4      draw     0.032        0   0.032
+#> 5     TOTAL     0.099        0   0.098
 
 # With tidy eval:
 p <- expr(ggplot(mtcars, aes(mpg, wt)) + geom_point())
 benchplot(!!p)
 
 #>        step user.self sys.self elapsed
-#> 1 construct     0.003        0   0.002
-#> 2     build     0.019        0   0.020
-#> 3    render     0.019        0   0.019
-#> 4      draw     0.019        0   0.019
-#> 5     TOTAL     0.060        0   0.060
+#> 1 construct     0.002        0   0.002
+#> 2     build     0.019        0   0.019
+#> 3    render     0.018        0   0.018
+#> 4      draw     0.018        0   0.018
+#> 5     TOTAL     0.057        0   0.057