ticker_date {rbokeh} | R Documentation |
Generate nice ticks across different date and time scales.
ticker_date(desired_num_ticks = 6L, num_minor_ticks = 0L, clear = FALSE)
desired_num_ticks |
A desired target number of major tick positions to generate across the plot range. Note: This value is a suggestion, and ticker subclasses may ignore it entirely, or use it only as an ideal goal to approach as well as can be, in the context of a specific ticking strategy. |
num_minor_ticks |
The number of minor tick positions to generate between adjacent major tick values. |
clear |
A logical indicating whether all non-specified parameters should be cleared out of any exising specification in the figure. This can be useful when modifying a previously-defined figure. |
A specification that is used as the ticker
argument for x_axis
or y_axis
.
figure(width = 1000) %>% ly_lines(date, co2, data = co2_df) %>% x_axis(ticker = ticker_date(desired_num_ticks = 20)) figure(width = 1000) %>% ly_lines(date, co2, data = co2_df) %>% x_axis(tickformatter = tickformatter_date(year = "'%y")) figure() %>% ly_points(Sys.time() - c(0:9) * 900, rnorm(10)) %>% x_axis(tickformatter = tickformatter_date(hourmin = "%r %Z"))