Intro to Animations in ggplot2
How to create animations in ggplot2 with Plotly.
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Frames
Now, along with data
and layout
, frames
is added to the keys that figure
allows. Your frames
key points to a list of figures, each of which will be cycled through upon instantiation of the plot.
Basic Example
library(plotly)
library(ggplot2)
df <- data.frame(
x = c(1,2,3,4),
y = c(1,2,3,4),
f = c(1,2,3,4)
)
p <- ggplot(df, aes(x, y)) +
geom_point(aes(frame = f))
ggplotly(p)
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Mulitple Trace Animations
library(plotly)
library(ggplot2)
library(gapminder)
p <- ggplot(gapminder, aes(gdpPercap, lifeExp, color = continent)) +
geom_point(aes(size = pop, frame = year, ids = country)) +
scale_x_log10()
ggplotly(p)
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Add Animation Options
To add options to the plot, first convert ggplot2 plot to Plotly variable with ggplotly()
and then, add options to that variable.
library(plotly)
library(ggplot2)
library(gapminder)
p <- ggplot(gapminder, aes(gdpPercap, lifeExp, color = continent)) +
geom_point(aes(size = pop, frame = year, ids = country)) +
scale_x_log10()
fig <- ggplotly(p)
fig <- fig %>%
animation_opts(
1000, easing = "elastic", redraw = FALSE
)
fig
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Add Button Options
library(plotly)
library(ggplot2)
library(gapminder)
p <- ggplot(gapminder, aes(gdpPercap, lifeExp, color = continent)) +
geom_point(aes(size = pop, frame = year, ids = country)) +
scale_x_log10()
fig <- ggplotly(p)
fig <- fig %>%
animation_opts(
1000, easing = "elastic", redraw = FALSE
)
fig <- fig %>%
animation_button(
x = 1, xanchor = "right", y = 0, yanchor = "bottom"
)
fig
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Add Slider Options
library(plotly)
library(ggplot2)
library(gapminder)
p <- ggplot(gapminder, aes(gdpPercap, lifeExp, color = continent)) +
geom_point(aes(size = pop, frame = year, ids = country)) +
scale_x_log10()
fig <- ggplotly(p)
fig <- fig %>%
animation_opts(
1000, easing = "elastic", redraw = FALSE
)
fig <- fig %>%
animation_button(
x = 1, xanchor = "right", y = 0, yanchor = "bottom"
)
fig <- fig %>%
animation_slider(
currentvalue = list(prefix = "YEAR ", font = list(color="red"))
)
fig
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Create the plot in one function
library(plotly)
library(ggplot2)
library(gapminder)
p <- ggplot(gapminder, aes(gdpPercap, lifeExp, color = continent)) +
geom_point(aes(size = pop, frame = year, ids = country)) +
scale_x_log10()
fig <- ggplotly(p) %>%
animation_opts(
1000, easing = "elastic", redraw = FALSE
) %>%
animation_button(
x = 1, xanchor = "right", y = 0, yanchor = "bottom"
) %>%
animation_slider(
currentvalue = list(prefix = "YEAR ", font = list(color="red"))
)
fig
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Reference
To read more on animations see The Plotly Book.
What About Dash?
Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.
Learn about how to install Dash for R at https://dashr.plot.ly/installation.
Everywhere in this page that you see fig
, you can display the same figure in a Dash for R application by passing it to the figure
argument of the Graph
component from the built-in dashCoreComponents
package like this:
library(plotly)
fig <- plot_ly()
# fig <- fig %>% add_trace( ... )
# fig <- fig %>% layout( ... )
library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)
app <- Dash$new()
app$layout(
htmlDiv(
list(
dccGraph(figure=fig)
)
)
)
app$run_server(debug=TRUE, dev_tools_hot_reload=FALSE)
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