Draw heatmap by coordinates.

e_heatmap(e, y, z, name = NULL, coord.system = "cartesian2d",
  rm.x = TRUE, rm.y = TRUE, ...)

e_heatmap_(e, y, z = NULL, name = NULL, coord.system = "cartesian2d",
  rm.x = TRUE, rm.y = TRUE, ...)

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.

...

Any other option to pass, check See Also section.

See also

Examples

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) %>% e_visual_map(z) # calendar dates <- seq.Date(as.Date("2018-01-01"), 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)