plotly (version 4.5.2)

add_trace: Add trace(s) to a plotly visualization

Description

Add trace(s) to a plotly visualization

Usage

add_trace(p, ..., data = NULL, inherit = TRUE)
add_markers(p, x = NULL, y = NULL, z = NULL, ..., data = NULL,
  inherit = TRUE)
add_text(p, x = NULL, y = NULL, z = NULL, text = NULL, ...,
  data = NULL, inherit = TRUE)
add_paths(p, x = NULL, y = NULL, z = NULL, ..., data = NULL,
  inherit = TRUE)
add_lines(p, x = NULL, y = NULL, z = NULL, ..., data = NULL,
  inherit = TRUE)
add_segments(p, x = NULL, y = NULL, xend = NULL, yend = NULL, ...,
  data = NULL, inherit = TRUE)
add_polygons(p, x = NULL, y = NULL, ..., data = NULL, inherit = TRUE)
add_ribbons(p, x = NULL, ymin = NULL, ymax = NULL, ..., data = NULL,
  inherit = TRUE)
add_area(p, r = NULL, t = NULL, ..., data = NULL, inherit = TRUE)
add_pie(p, values = NULL, labels = NULL, ..., data = NULL,
  inherit = TRUE)
add_bars(p, x = NULL, y = NULL, ..., data = NULL, inherit = TRUE)
add_histogram(p, x = NULL, y = NULL, ..., data = NULL, inherit = TRUE)
add_histogram2d(p, x = NULL, y = NULL, z = NULL, ..., data = NULL,
  inherit = TRUE)
add_histogram2dcontour(p, x = NULL, y = NULL, z = NULL, ...,
  data = NULL, inherit = TRUE)
add_heatmap(p, x = NULL, y = NULL, z = NULL, ..., data = NULL,
  inherit = TRUE)
add_contour(p, z = NULL, ..., data = NULL, inherit = TRUE)
add_boxplot(p, x = NULL, y = NULL, ..., data = NULL, inherit = TRUE)
add_surface(p, z = NULL, ..., data = NULL, inherit = TRUE)
add_mesh(p, x = NULL, y = NULL, z = NULL, ..., data = NULL,
  inherit = TRUE)
add_scattergeo(p, ...)
add_choropleth(p, z = NULL, ..., data = NULL, inherit = TRUE)

Arguments

p

a plotly object

...

These arguments are documented at https://plot.ly/r/reference/ Note that acceptable arguments depend on the value of type.

data

A data frame (optional).

inherit

inherit attributes from plot_ly()?

x

the x variable.

y

the y variable.

z

a numeric matrix

text

textual labels.

xend

"final" x position (in this context, x represents "start")

yend

"final" y position (in this context, y represents "start")

ymin

a variable used to define the lower boundary of a polygon.

ymax

a variable used to define the upper boundary of a polygon.

r

For polar chart only. Sets the radial coordinates.

t

For polar chart only. Sets the radial coordinates.

values

the value to associated with each slice of the pie.

labels

the labels (categories) corresponding to values.

References

https://plot.ly/r/reference/

See Also

plot_ly()

Examples

# NOT RUN {
p <- plot_ly(economics, x = ~date, y = ~uempmed)
p
p %>% add_markers()
p %>% add_lines()
p %>% add_text(text = ".")

# attributes declared in plot_ly() carry over to downstream traces,
# but can be overwritten
plot_ly(economics, x = ~date, y = ~uempmed, color = I("red")) %>% 
  add_lines() %>%
  add_markers(color = ~pop) %>%
  layout(showlegend = FALSE)

txhousing %>% 
  group_by(city) %>% 
  plot_ly(x = ~date, y = ~median) %>%
  add_lines(fill = "black")

ggplot2::map_data("world", "canada") %>%
  group_by(group) %>%
  plot_ly(x = ~long, y = ~lat) %>%
  add_polygons(hoverinfo = "none") %>%
  add_markers(text = ~paste(name, "<br />", pop), hoverinfo = "text",
    data = maps::canada.cities) %>%
  layout(showlegend = FALSE)

plot_ly(economics, x = ~date) %>% 
  add_ribbons(ymin = ~pce - 1e3, ymax = ~pce + 1e3)
p <- plot_ly(plotly::wind, r = ~r, t = ~t) %>% add_area(color = ~nms)
layout(p, radialaxis = list(ticksuffix = "%"), orientation = 270)
ds <- data.frame(
  labels = c("A", "B", "C"),
  values = c(10, 40, 60)
)

plot_ly(ds, labels = ~labels, values = ~values) %>%
  add_pie() %>%
  layout(title = "Basic Pie Chart using Plotly")
library(dplyr)
mtcars %>%
  count(vs) %>%
  plot_ly(x = ~vs, y = ~n) %>%
  add_bars()

plot_ly(x = ~rnorm(100)) %>% add_histogram()
plot_ly(x = ~LETTERS, y = ~LETTERS) %>% add_histogram2d()
z <- as.matrix(table(LETTERS, LETTERS))
plot_ly(x = ~LETTERS, y = ~LETTERS, z = ~z) %>% add_histogram2d()
plot_ly(MASS::geyser, x = ~waiting, y = ~duration) %>% 
add_histogram2dcontour()
plot_ly(z = ~volcano) %>% add_heatmap()
plot_ly(z = ~volcano) %>% add_contour()
plot_ly(mtcars, x = ~factor(vs), y = ~mpg) %>% add_boxplot()
plot_ly(z = ~volcano) %>% add_surface()
plot_ly(x = c(0, 0, 1), y = c(0, 1, 0), z = c(0, 0, 0)) %>% add_mesh()
# }