Highlighting doesn't work after filtering on the same variable as the plot coloring
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描述
From @micahdh:
The problem occurs when you select a species from the dropdown and then lasso one graph -- the other graph doesn't change. When you only filter by other_factor (or don't filter at all) highlighting occurs as normal.
For what it's worth this issue occurs in my own script when I filter on any column -- regardless of if it's used for coloring or anything else. I only noticed that it matters which column you filter on while I was reproducing the problem.
Thank you for an otherwise amazing package!
require(crosstalk)
require(plotly)
iris$other_factor <- sample(x = c("a", "b", "c"), size = nrow(iris), replace = T)
iris_shared <- SharedData$new(iris)
bscols(widths = c(6, 6, 6, 6),
filter_select("species", "species", iris_shared, ~Species, multiple = T),
filter_select("otherfactor", "other factor", iris_shared, ~other_factor, multiple = T),
plot_ly(data = iris_shared, x = ~Sepal.Length, y = ~Sepal.Width, color = ~Species) %>%
add_markers() %>%
layout(dragmode = "lasso") %>%
highlight(on = "plotly_selected", off = "plotly_deselect"),
plot_ly(data = iris_shared, x = ~Petal.Length, y = ~Petal.Width, color = ~Species) %>%
add_markers() %>%
layout(dragmode = "lasso") %>%
highlight(on = "plotly_selected", off = "plotly_deselect")
)
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调研方向
使用 iris、SharedData、filter_select()、plot_ly() 和 highlight() 运行提供的 R 复现。比较按 species 或 other_factor 过滤后的套索选择行为;完成标准是,无论按哪一列进行过滤,在一个图中选择点都会更新另一个图。
由索引模型根据 Issue 内容生成。
评估
- 技术栈
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- 领域
- data-visualization
- Issue 类型
- 缺陷
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 活跃度
- 停滞
- 描述清晰度
- 基本清楚
- 新手友好度
- 35/100