y_axis: Customize x axis of a Bokeh figure

In bokeh/rbokeh: R Interface for Bokeh

Customize x axis of a Bokeh figure

Description

Customize x axis of a Bokeh figure

Usage

y_axis(
  fig,
  label,
  position = "left",
  log = FALSE,
  grid = TRUE,
  desired_num_ticks = NULL,
  num_minor_ticks = 5,
  visible = TRUE,
  number_formatter = c("basic", "numeral", "printf"),
  power_limit_high = 5,
  power_limit_low = -3,
  precision = NULL,
  use_scientific = TRUE,
  format = NULL
)

Arguments

fig	figure to modify
label	axis label
position	where to place the axis (either "left" or "right")
log	logical or integer - if TRUE, a log axis with base 10 is used - if an integer, a log axis with base of that integer will be used
grid	logical - should a reference grid be shown for this axis?
desired_num_ticks	desired target number of major tick positions to generate across the plot range
num_minor_ticks	number of minor ticks
visible	should axis be shown?
number_formatter	Bokeh numeric tick label formatter ("basic", "numeral", or "printf"); ignored if log is TRUE
power_limit_high	(int) Limit the use of scientific notation to when log(x) >= value. Only applicable when number_formatter is "basic".
power_limit_low	(int) Limit the use of scientific notation to when log(x) <= value. Only applicable when number_formatter is "basic".
precision	(int) How many digits of precision to display in tick labels. Automatically determined if not specified. Only applicable when number_formatter is "basic".
use_scientific	(logical) Whether to ever display scientific notation. If True, then when to use scientific notation is controlled by power_limit_low and power_limit_high. Only applicable when number_formatter is "basic".
format	Specification of format options. Specification depends on the value of number_formatter - see "details" below.

See Also

Other axes: x_axis()

Examples

figure() %>%
  ly_points(rexp(1000), rexp(1000)) %>%
  x_axis(label = "x", log = TRUE) %>%
  y_axis(label = "y", log = TRUE)

figure() %>%
  ly_points(2 ^ (1:10)) %>%
  y_axis(log = 2)

# disable scientific tick labels
figure() %>%
  ly_points(rnorm(10), rnorm(10) / 1000) %>%
  y_axis(use_scientific = FALSE)

# specify datetime tick labels
# the appropriate datetime units are automatically chosen
big_range <- seq(as.Date("2012-01-01"), as.Date("2012-12-31"), by = "days")
small_range <- seq(as.Date("2012-01-01"), as.Date("2012-02-01"), by = "days")

figure() %>%
  ly_lines(big_range, rnorm(366)) %>%
  x_axis(label = "Date", format = list(months = "%b-%Y", days = "%d"))

figure() %>%
  ly_lines(small_range, rnorm(32)) %>%
  x_axis(label = "Date", format = list(months = "%b-%Y", days = "%d"))

# specify numeric tick labels
figure() %>%
  ly_points(rnorm(10), rnorm(10) * 10000) %>%
  y_axis(number_formatter = "numeral", format = "0,000")

figure() %>%
  ly_points(rnorm(10), rnorm(10) * 100) %>%
  y_axis(number_formatter = "printf", format = "%0.1f%%")

bokeh/rbokeh documentation built on Nov. 3, 2023, 2:36 a.m.