Set the notation of a figure's numeric tick labels

Tick labels of large or small numbers can come out in scientific notation (1e+05) or not depending only on which breaks an axis happens to get, since a ggplot converted with plotly::ggplotly() carries the labels R's format() gave its breaks as fixed tick text. This sets the notation explicitly instead, for every x and y axis of the figure.

Usage

apply_tick_notation(fig, scientific = FALSE)

Arguments

fig

A plotly figure.

scientific

Logical. Whether numeric tick labels use scientific notation. Default FALSE.

Value

The built plotly figure with its tick labels updated.

Details

Fixed tick text is rewritten only on axes whose labels are all numbers that match the tick positions (or are 10, 2, or e raised to them, for a log scale), so categorical axes, even ones whose categories look like numbers, and formatted labels ("25%", "$1,000") are left alone. With scientific = FALSE, only labels already in scientific notation are rewritten; with TRUE, every numeric label is written as a power of ten (1.5 times 10 to the 5th). Axes plotly labels itself get exponentformat = "power" when scientific is TRUE, and are otherwise left to plotly, whose default abbreviates large numbers (100k) rather than using scientific notation.

Axes marked with mark_overlay_axes() are left alone.

See also

apply_uniform_styling(), which applies this from the Axes tab's "Scientific Notation Ticks" input.

Author

Jared Andrews

Examples

p <- ggplot2::ggplot(data.frame(x = c("a", "b"), y = c(1e5, 3e5)), ggplot2::aes(x, y)) +
    ggplot2::geom_col()
fig <- plotly::ggplotly(p)
apply_tick_notation(fig)$x$layout$yaxis$ticktext
#> [1] "0"      "100000" "200000" "300000"
apply_tick_notation(fig, scientific = TRUE)$x$layout$yaxis$ticktext
#> [1] "0"                "1×10<sup>5</sup>" "2×10<sup>5</sup>" "3×10<sup>5</sup>"