X-axis options

X-axis options

ax_xaxis(
  ax,
  type = NULL,
  categories = NULL,
  labels = NULL,
  axisBorder = NULL,
  axisTicks = NULL,
  tickAmount = NULL,
  min = NULL,
  max = NULL,
  range = NULL,
  floating = NULL,
  position = NULL,
  title = NULL,
  crosshairs = NULL,
  tooltip = NULL,
  ...
)

Arguments

ax	A apexcharts htmlwidget object.
type	Character. Available Options : "categories" and "datetime".
categories	Categories are labels which are displayed on the x-axis.
labels	A list of parameters.
axisBorder	A list of parameters.
axisTicks	A list of parameters.
tickAmount	Number of Tick Intervals to show.
min	Lowest number to be set for the x-axis. The graph drawing beyond this number will be clipped off.
max	Highest number to be set for the x-axis. The graph drawing beyond this number will be clipped off.
range	Range takes the max value of x-axis, subtracts the provided range value and gets the min value based on that. So, technically it helps to keep the same range when min and max values gets updated dynamically.
floating	Logical. Floating takes x-axis is taken out of normal flow and places x-axis on svg element directly, similar to an absolutely positioned element. Set the offsetX and offsetY then to adjust the position manually
position	Setting this option allows you to change the x-axis position. Available options: "top" and "bottom".
title	A list of parameters.
crosshairs	A list of parameters.
tooltip	A list of parameters.
...	Additional parameters.

Value

A apexcharts htmlwidget object.

Note

See https://apexcharts.com/docs/options/xaxis/

Examples

library(dplyr)
data("mpg", package = "ggplot2")

# X axis title
apex(
  data = count(mpg, manufacturer),
  mapping = aes(x = manufacturer, y = n)
) %>%
  ax_xaxis(title = list(text = "Car's manufacturer"))

# force labels to rotate and increase height
apex(
  data = count(mpg, manufacturer),
  mapping = aes(x = manufacturer, y = n)
) %>%
  ax_xaxis(labels = list(rotateAlways = TRUE, maxHeight = 180))

# force to not rotate
apex(
  data = count(mpg, manufacturer),
  mapping = aes(x = manufacturer, y = n)
) %>%
  ax_xaxis(labels = list(rotate = 0, trim = FALSE))


data("economics", package = "ggplot2")

# Custom crosshair
apex(
  data = tail(economics, 50),
  mapping = aes(x = date, y = psavert),
  type = "line"
) %>%
  ax_xaxis(
    crosshairs = list(
      opacity = 1,
      width = 2,
      fill = list(color = "red"),
      stroke = list(width = 0)
    )
  )


# Date format (zoom to see changes)
apex(
  data = tail(economics, 150),
  mapping = aes(x = date, y = psavert),
  type = "line"
) %>%
  ax_xaxis(
    labels = list(
      datetimeFormatter = list(
        year = "yyyy-MM",
        month = "yyyy-MM-dd",
        day = "yyyy-MM-dd HH:mm"
      )
    )
  )