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/pkgdown.yml b/dev/pkgdown.yml index 5d04eddd40..fe21e616f8 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: 2024-12-10T10:12Z +last_built: 2024-12-12T08:17Z 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 1a3317e3c7..ed7350f069 100644 --- a/dev/reference/benchplot.html +++ b/dev/reference/benchplot.html @@ -91,18 +91,18 @@
benchplot(ggplot(mtcars, aes(mpg, wt)) + geom_point())
#> step user.self sys.self elapsed
-#> 1 construct 0.003 0 0.002
-#> 2 build 0.019 0 0.020
+#> 1 construct 0.003 0 0.003
+#> 2 build 0.019 0 0.019
#> 3 render 0.020 0 0.020
-#> 4 draw 0.018 0 0.019
-#> 5 TOTAL 0.060 0 0.061
+#> 4 draw 0.018 0 0.018
+#> 5 TOTAL 0.060 0 0.060
benchplot(ggplot(mtcars, aes(mpg, wt)) + geom_point() + facet_grid(. ~ cyl))
#> step user.self sys.self elapsed
-#> 1 construct 0.003 0 0.002
-#> 2 build 0.021 0 0.021
+#> 1 construct 0.003 0 0.003
+#> 2 build 0.020 0 0.020
#> 3 render 0.048 0 0.048
-#> 4 draw 0.032 0 0.033
-#> 5 TOTAL 0.104 0 0.104
+#> 4 draw 0.032 0 0.032
+#> 5 TOTAL 0.103 0 0.103
# With tidy eval:
p <- expr(ggplot(mtcars, aes(mpg, wt)) + geom_point())
@@ -111,9 +111,9 @@ Examples#> step user.self sys.self elapsed
#> 1 construct 0.002 0 0.002
#> 2 build 0.019 0 0.019
-#> 3 render 0.021 0 0.020
-#> 4 draw 0.019 0 0.018
-#> 5 TOTAL 0.061 0 0.059
+#> 3 render 0.020 0 0.020
+#> 4 draw 0.019 0 0.019
+#> 5 TOTAL 0.060 0 0.060