Understanding Plotly: The distinction between mode and add_trace

dat = c(1:100)

fig1 = plot_ly(x = ~x)

fig2 = fig1%>%add_trace(y=~rnorm(100), mode= "lines")

The results displayed for "fig1" and "fig2" can be viewed here: https://i.sstatic.net/KChR7.png and https://i.sstatic.net/xhSrc.png respectively.

To achieve the same outcome as "fig2", you can use the following code:

fig3 = plot_ly(x= ~dat, y = ~rnorm(100))%>%add_lines()

I am interested to know the precise distinction between using individual traces like add_histogram, add_lines, etc., and the function add_trace with a particular mode. Can someone provide an explanation?

Answer №1

add_histogram, add_lines, and other similar functions are designed for convenience, each with a preset trace type. Internally, these functions set the corresponding type and call add_trace_classed. To inspect the function behind a specific type, you can use add_lines in the console.

add_trace is a versatile function that allows you to create traces of any available type.

An alternative method to create traces is by using the plot_ly() function directly.

For additional information, please refer to the example section of ?add_trace:

The plot_ly() function initializes an object, setting a default plot if no trace type is specified. For instance: p <- plot_ly(economics, x = ~date, y = ~uempmed) p

Some add_*() functions represent specific cases of trace types. For example, add_markers() creates a scatter trace with markers mode. Use add_markers(p) to implement this.

If you do not specify a trace type in plot_ly, it will be determined based on the supplied data:

library(plotly)

dat = data.frame(x = 1:100)

fig1 = plot_ly(data = dat, x = ~x)
# Trace type not specified:
#   Based on the provided information, a 'histogram' trace is recommended.
# Learn more about this trace type -> https://plotly.com/r/reference/#histogram

fig1a = plot_ly(data = dat, x = ~x, type = "scatter", mode = "lines")

fig2 = fig1 %>% add_trace(y=~rnorm(100), mode = "lines")

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