gganimate with changing scales (axis limits)
2
I'd like to create a gif using gganimate, but my axis ranges vary wildly in one frame. This is causing all subsequent frames to be squeezed.
In ggplot2's facets, there's an option to have scales="free". Is there a way to have free scales in each frame of gganimate?
Here's an example:
library(gapminder)
library(ggplot2)
library(gganimate)
theme_set(theme_bw())
p <- ggplot(gapminder, aes(gdpPercap, lifeExp, size = pop, color = continent,
frame = year)) +
geom_point() +
scale_x_log10()
gganimate(p)
Now we move one of the data points to some extreme value. This squeezes the points in all subsequent unaffected frames.
gapminder[1, "lifeExp"] <- 1000
gapminder[1, "gdpPercap"] <- 1e60
p <- ggplot(gapminder, aes(gdpPercap, lifeExp, size = pop, color = continent,
frame = year)) +
geom_point() +
scale_x_log10()
gganimate(p) # smooshed
r axes gganimate
asked Dec 7 '16 at 19:45
MegatronMegatron
5,80864765
add a comment |
2
I'd like to create a gif using gganimate, but my axis ranges vary wildly in one frame. This is causing all subsequent frames to be squeezed.
In ggplot2's facets, there's an option to have scales="free". Is there a way to have free scales in each frame of gganimate?
Here's an example:
library(gapminder)
library(ggplot2)
library(gganimate)
theme_set(theme_bw())
p <- ggplot(gapminder, aes(gdpPercap, lifeExp, size = pop, color = continent,
frame = year)) +
geom_point() +
scale_x_log10()
gganimate(p)
Now we move one of the data points to some extreme value. This squeezes the points in all subsequent unaffected frames.
gapminder[1, "lifeExp"] <- 1000
gapminder[1, "gdpPercap"] <- 1e60
p <- ggplot(gapminder, aes(gdpPercap, lifeExp, size = pop, color = continent,
frame = year)) +
geom_point() +
scale_x_log10()
gganimate(p) # smooshed
r axes gganimate
asked Dec 7 '16 at 19:45
MegatronMegatron
5,80864765
So you think it would be useful to have the scales calculated individually at every timestep? I don't see how that would be helpful.
– Mike Wise
Dec 20 '16 at 23:19
I disagree. It would be useful for my application. Much like the facet_wrap() parameter scale="free" in ggplot2
– Megatron
Dec 21 '16 at 2:12
But the animation would jump around every frame.
– Mike Wise
Dec 21 '16 at 8:09
Only if the scale changed dramatically every frame. In my application only a single frame has a vastly different scale similar to the example here.
– Megatron
Dec 21 '16 at 13:44
It's also useful for timeseries, for example here: youtube.com/watch?v=UatUDnFmNTY
– Lennert
Aug 30 '17 at 11:43
add a comment |
2
2
2
I'd like to create a gif using gganimate, but my axis ranges vary wildly in one frame. This is causing all subsequent frames to be squeezed.
In ggplot2's facets, there's an option to have scales="free". Is there a way to have free scales in each frame of gganimate?
Here's an example:
library(gapminder)
library(ggplot2)
library(gganimate)
theme_set(theme_bw())
p <- ggplot(gapminder, aes(gdpPercap, lifeExp, size = pop, color = continent,
frame = year)) +
geom_point() +
scale_x_log10()
gganimate(p)
Now we move one of the data points to some extreme value. This squeezes the points in all subsequent unaffected frames.
gapminder[1, "lifeExp"] <- 1000
gapminder[1, "gdpPercap"] <- 1e60
p <- ggplot(gapminder, aes(gdpPercap, lifeExp, size = pop, color = continent,
frame = year)) +
geom_point() +
scale_x_log10()
gganimate(p) # smooshed
r axes gganimate
asked Dec 7 '16 at 19:45
MegatronMegatron
5,80864765
I'd like to create a gif using gganimate, but my axis ranges vary wildly in one frame. This is causing all subsequent frames to be squeezed.
In ggplot2's facets, there's an option to have scales="free". Is there a way to have free scales in each frame of gganimate?
Here's an example:
library(gapminder)
library(ggplot2)
library(gganimate)
theme_set(theme_bw())
p <- ggplot(gapminder, aes(gdpPercap, lifeExp, size = pop, color = continent,
frame = year)) +
geom_point() +
scale_x_log10()
gganimate(p)
Now we move one of the data points to some extreme value. This squeezes the points in all subsequent unaffected frames.
gapminder[1, "lifeExp"] <- 1000
gapminder[1, "gdpPercap"] <- 1e60
p <- ggplot(gapminder, aes(gdpPercap, lifeExp, size = pop, color = continent,
frame = year)) +
geom_point() +
scale_x_log10()
gganimate(p) # smooshed
r axes gganimate
r axes gganimate
asked Dec 7 '16 at 19:45
MegatronMegatron
5,80864765
asked Dec 7 '16 at 19:45
MegatronMegatron
5,80864765
asked Dec 7 '16 at 19:45
MegatronMegatron
5,80864765
asked Dec 7 '16 at 19:45
MegatronMegatron
5,80864765
asked Dec 7 '16 at 19:45
MegatronMegatron
5,80864765
5,80864765
So you think it would be useful to have the scales calculated individually at every timestep? I don't see how that would be helpful.
– Mike Wise
Dec 20 '16 at 23:19
I disagree. It would be useful for my application. Much like the facet_wrap() parameter scale="free" in ggplot2
– Megatron
Dec 21 '16 at 2:12
But the animation would jump around every frame.
– Mike Wise
Dec 21 '16 at 8:09
Only if the scale changed dramatically every frame. In my application only a single frame has a vastly different scale similar to the example here.
– Megatron
Dec 21 '16 at 13:44
It's also useful for timeseries, for example here: youtube.com/watch?v=UatUDnFmNTY
– Lennert
Aug 30 '17 at 11:43
add a comment |
So you think it would be useful to have the scales calculated individually at every timestep? I don't see how that would be helpful.
– Mike Wise
Dec 20 '16 at 23:19
I disagree. It would be useful for my application. Much like the facet_wrap() parameter scale="free" in ggplot2
– Megatron
Dec 21 '16 at 2:12
But the animation would jump around every frame.
– Mike Wise
Dec 21 '16 at 8:09
Only if the scale changed dramatically every frame. In my application only a single frame has a vastly different scale similar to the example here.
– Megatron
Dec 21 '16 at 13:44
It's also useful for timeseries, for example here: youtube.com/watch?v=UatUDnFmNTY
– Lennert
Aug 30 '17 at 11:43
So you think it would be useful to have the scales calculated individually at every timestep? I don't see how that would be helpful.
– Mike Wise
Dec 20 '16 at 23:19
So you think it would be useful to have the scales calculated individually at every timestep? I don't see how that would be helpful.
– Mike Wise
Dec 20 '16 at 23:19
I disagree. It would be useful for my application. Much like the facet_wrap() parameter scale="free" in ggplot2
– Megatron
Dec 21 '16 at 2:12
I disagree. It would be useful for my application. Much like the facet_wrap() parameter scale="free" in ggplot2
– Megatron
Dec 21 '16 at 2:12
But the animation would jump around every frame.
– Mike Wise
Dec 21 '16 at 8:09
But the animation would jump around every frame.
– Mike Wise
Dec 21 '16 at 8:09
Only if the scale changed dramatically every frame. In my application only a single frame has a vastly different scale similar to the example here.
– Megatron
Dec 21 '16 at 13:44
Only if the scale changed dramatically every frame. In my application only a single frame has a vastly different scale similar to the example here.
– Megatron
Dec 21 '16 at 13:44
It's also useful for timeseries, for example here: youtube.com/watch?v=UatUDnFmNTY
– Lennert
Aug 30 '17 at 11:43
It's also useful for timeseries, for example here: youtube.com/watch?v=UatUDnFmNTY
– Lennert
Aug 30 '17 at 11:43
add a comment |
1 Answer
1
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oldest
votes
2
You can try experimenting with view_follow().
Code
p <- ggplot(gapminder, aes(gdpPercap, lifeExp, size = pop, color = continent)) +
geom_point() +
labs(title = 'Year: {frame_time}', x = 'GDP per capita', y = 'life expectancy') +
transition_time(year) +
view_follow()
animate(p)
answered Nov 24 '18 at 22:52
RomanRoman
2,1141531
add a comment |
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1 Answer
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1 Answer
1
active
oldest
votes
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oldest
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active
oldest
votes
2
You can try experimenting with view_follow().
Code
p <- ggplot(gapminder, aes(gdpPercap, lifeExp, size = pop, color = continent)) +
geom_point() +
labs(title = 'Year: {frame_time}', x = 'GDP per capita', y = 'life expectancy') +
transition_time(year) +
view_follow()
animate(p)
answered Nov 24 '18 at 22:52
RomanRoman
2,1141531
add a comment |
2
You can try experimenting with view_follow().
Code
p <- ggplot(gapminder, aes(gdpPercap, lifeExp, size = pop, color = continent)) +
geom_point() +
labs(title = 'Year: {frame_time}', x = 'GDP per capita', y = 'life expectancy') +
transition_time(year) +
view_follow()
animate(p)
answered Nov 24 '18 at 22:52
RomanRoman
2,1141531
add a comment |
2
2
2
You can try experimenting with view_follow().
Code
p <- ggplot(gapminder, aes(gdpPercap, lifeExp, size = pop, color = continent)) +
geom_point() +
labs(title = 'Year: {frame_time}', x = 'GDP per capita', y = 'life expectancy') +
transition_time(year) +
view_follow()
animate(p)
answered Nov 24 '18 at 22:52
RomanRoman
2,1141531
You can try experimenting with view_follow().
Code
p <- ggplot(gapminder, aes(gdpPercap, lifeExp, size = pop, color = continent)) +
geom_point() +
labs(title = 'Year: {frame_time}', x = 'GDP per capita', y = 'life expectancy') +
transition_time(year) +
view_follow()
animate(p)
answered Nov 24 '18 at 22:52
RomanRoman
2,1141531
answered Nov 24 '18 at 22:52
RomanRoman
2,1141531
answered Nov 24 '18 at 22:52
RomanRoman
2,1141531
answered Nov 24 '18 at 22:52
RomanRoman
2,1141531
2,1141531
add a comment |
add a comment |
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So you think it would be useful to have the scales calculated individually at every timestep? I don't see how that would be helpful.
– Mike Wise
Dec 20 '16 at 23:19
I disagree. It would be useful for my application. Much like the facet_wrap() parameter scale="free" in ggplot2
– Megatron
Dec 21 '16 at 2:12
But the animation would jump around every frame.
– Mike Wise
Dec 21 '16 at 8:09
Only if the scale changed dramatically every frame. In my application only a single frame has a vastly different scale similar to the example here.
– Megatron
Dec 21 '16 at 13:44
It's also useful for timeseries, for example here: youtube.com/watch?v=UatUDnFmNTY
– Lennert
Aug 30 '17 at 11:43