echarts4r (version 0.4.5)

e_bar_3d: Bar 3D

Description

Add 3D bars

Usage

e_bar_3d(
  e,
  y,
  z,
  bind,
  coord_system = "cartesian3D",
  name = NULL,
  rm_x = TRUE,
  rm_y = TRUE,
  ...
)
e_bar_3d_(
  e,
  y,
  z,
  bind = NULL,
  coord_system = "cartesian3D",
  name = NULL,
  rm_x = TRUE,
  rm_y = TRUE,
  ...
)

Arguments

e

An echarts4r object as returned by e_charts or a proxy as returned by echarts4rProxy.

y, z

Coordinates.

bind

Binding.

coord_system

Coordinate system to use, one of cartesian3D, geo3D, globe.

name

name of the serie.

rm_x, rm_y

Whether to remove x and y axis, defaults to TRUE.

...

Any other option to pass, check See Also section.

See Also

Additional arguments

Examples

if (FALSE) {
# volcano
volcano |>
  as.table() |>
  as.data.frame() |>
  dplyr::mutate(
    Var1 = as.integer(Var1),
    Var2 = as.integer(Var2)
  ) |>
  e_charts(Var1) |>
  e_bar_3d(Var2, Freq) |>
  e_visual_map(Freq)

url <- paste0(
  "https://echarts.apache.org/examples/",
  "data-gl/asset/data/population.json"
)
data <- jsonlite::fromJSON(url)
data <- as.data.frame(data)
names(data) <- c("lon", "lat", "value")

# globe
data |>
  e_charts(lon) |>
  e_globe() |>
  e_bar_3d(lat, value, coord_system = "globe") |>
  e_visual_map()

# get3d
data |>
  e_charts(lon) |>
  e_geo_3d() |>
  e_bar_3d(lat, value, coord_system = "geo3D") |>
  e_visual_map()

# stacked
v <- LETTERS[1:10]
matrix <- data.frame(
  x = sample(v, 300, replace = TRUE),
  y = sample(v, 300, replace = TRUE),
  z1 = rnorm(300, 10, 1),
  z2 = rnorm(300, 10, 1),
  stringsAsFactors = FALSE
) |>
  dplyr::group_by(x, y) |>
  dplyr::summarise(
    z1 = sum(z1),
    z2 = sum(z2)
  ) |>
  dplyr::ungroup()

trans <- list(opacity = 0.4) # transparency
emphasis <- list(itemStyle = list(color = "#313695"))

matrix |>
  e_charts(x) |>
  e_bar_3d(y, z1, stack = "stack", name = "Serie 1", itemStyle = trans, emphasis = emphasis) |>
  e_bar_3d(y, z2, stack = "stack", name = "Serie 2", itemStyle = trans, emphasis = emphasis) |>
  e_legend()

# timeline
matrix |>
  group_by(x) |>
  e_charts(y, timeline = TRUE) |>
  e_bar_3d(z1, z2) |>
  e_visual_map(z2)
}