Legend order in scatter plot ignored when frame animation is used
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描述
Hello everyone!
I'm currently working on a dashboard for monitoring in R and would like use Plotly's animated scatter plot, which works like a charm except for the legend order. Indepentent from how I define the order within the code, the order defaults to alphabetical.
Here's a code to reproduce the issue based on the gapminder dataset. To demonstrate the issue, I've reordered the continent factor variable by reversing the levels and it still shows in alphabetical order. The same happens, when I hardcode the order into the levels parameter.
library(tidyverse)
library(plotly)
library(gapminder)
gapdf <- gapminder
fig <- gapdf %>%
mutate(
continent = factor(continent, levels = rev(levels(continent)))
) %>%
plot_ly(
x = ~gdpPercap,
y = ~lifeExp,
size = ~pop,
color = ~continent,
frame = ~year,
text = ~country,
hoverinfo = "text",
type = 'scatter',
fill = ~'',
mode = 'markers'
)
fig <- fig %>% layout(
xaxis = list(
type = "log"
)
)
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="#CC0033"))
)
fig

When "frame" and its corresponding animation commands are excluded, the legend order works as intended:
library(tidyverse)
library(plotly)
library(gapminder)
gapdf <- gapminder
fig <- gapdf %>%
mutate(
continent = factor(continent, levels = rev(levels(continent)))
) %>%
plot_ly(
x = ~gdpPercap,
y = ~lifeExp,
size = ~pop,
color = ~continent,
text = ~country,
hoverinfo = "text",
type = 'scatter',
fill = ~'',
mode = 'markers'
)
fig

Reversing the order is only possible through adjusting the traceorder of the legend, but I would like to use the order of the levels as provided by the data, which is not alphabetical or reversed alphabetical in 99,9% of my cases, so this workaround won't help.
If anyone knows a proper workaround, I would highly appreciate it!
Kind regards and have a nice day everyone.
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- 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
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研究方向
首先,使用 gapminder 資料集執行提供的 R 重現,並比較有動畫和無動畫的圖。追蹤 frame animation 如何處理 continent 因子的各個層級;當動畫散佈圖無需 traceorder workaround 即可保留由資料定義的圖例順序時,即表示完成。
由索引模型根據 Issue 內容生成。
評估
- 技術堆疊
- r
- 領域
- data-visualization
- Issue 類型
- 缺陷
- 難度
- 4/5
- 預估耗時
- 3-5 天
- 活躍度
- 停滯
- 描述清晰度
- 基本清楚
- 新手友好度
- 30/100