echarts4r (version 0.2.0)

e_heatmap: Heatmap

Description

Draw heatmap by coordinates.

Usage

e_heatmap(e, y, z, name = NULL, coord_system = "cartesian2d",
  rm_x = TRUE, rm_y = TRUE, calendar = NULL, ...)
e_heatmap_(e, y, z = NULL, name = NULL, coord_system = "cartesian2d",
  rm_x = TRUE, rm_y = TRUE, calendar = NULL, ...)

Arguments

e

An echarts4r object as returned by e_charts.

y, z

Coordinates and values.

name

name of the serie.

coord_system

Coordinate system to plot against, takes cartesian2d, geo or calendar.

rm_x, rm_y

Whether to remove x and y axis, only applies if coord_system is not set to cartesian2d.

calendar

The index of the calendar to plot against.

...

Any other option to pass, check See Also section.

See Also

Additional arguments

Examples

# NOT RUN {
v <- LETTERS[1:10]
matrix <- data.frame(
  x = sample(v, 300, replace = TRUE), 
  y = sample(v, 300, replace = TRUE), 
  z = rnorm(300, 10, 1),
  stringsAsFactors = FALSE
) %>% 
  dplyr::group_by(x, y) %>% 
  dplyr::summarise(z = sum(z)) %>% 
  dplyr::ungroup()

matrix %>% 
  e_charts(x) %>% 
  e_heatmap(y, z, itemStyle = list(emphasis = list(shadowBlur = 10))) %>% 
  e_visual_map(z)

# calendar   
dates <- seq.Date(as.Date("2017-01-01"), as.Date("2018-12-31"), by = "day")
values <- rnorm(length(dates), 20, 6)

year <- data.frame(date = dates, values = values)

year %>% 
  e_charts(date) %>% 
  e_calendar(range = "2018") %>% 
  e_heatmap(values, coord_system = "calendar") %>% 
  e_visual_map(max = 30)
  
# multiple years
year %>% 
  dplyr::mutate(year = format(date, "%Y")) %>% 
  group_by(year) %>% 
  e_charts(date) %>% 
  e_calendar(range = "2017", top = 40) %>% 
  e_calendar(range = "2018", top = 260) %>% 
  e_heatmap(values, coord_system = "calendar") %>% 
  e_visual_map(max = 30)

# }