You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Is your feature request related to a problem? Please describe.
The "gganimate" package allows a very simple way to generate animation frames for a ggplot2 with syntax like ggplot() + transition_time(timevariable). But it's not 3D!
Describe the solution you'd like
I would like to render a movie of an animated ggplot by specifying a column to use as the a time step, or for passing a "gganimate" object. A solution like this may relate to #287 allowing generic control of time varying data including water.
A more robust implementation would generate an interactive 3D display with a slider that effectively filters plot data and shadow matrices by the specified dimension, which could then be an option for creating a movie, i.e.: render_movie(..., type = "custom", dim = timevar).
Describe alternatives you've considered
An alternative is to write a function that would iteratively subset my data, create and pass a ggplot instance to plot_gg() and programmatically save the result with render_camera(), but this will incur significant overhead to capture each frame.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
The "gganimate" package allows a very simple way to generate animation frames for a ggplot2 with syntax like
ggplot() + transition_time(timevariable)
. But it's not 3D!Describe the solution you'd like
I would like to render a movie of an animated ggplot by specifying a column to use as the a time step, or for passing a "gganimate" object. A solution like this may relate to #287 allowing generic control of time varying data including water.
A more robust implementation would generate an interactive 3D display with a slider that effectively filters plot data and shadow matrices by the specified dimension, which could then be an option for creating a movie, i.e.:
render_movie(..., type = "custom", dim = timevar)
.Describe alternatives you've considered
An alternative is to write a function that would iteratively subset my data, create and pass a ggplot instance to plot_gg() and programmatically save the result with render_camera(), but this will incur significant overhead to capture each frame.
The text was updated successfully, but these errors were encountered: