Please implement geom_GeomXsidebar() and related geoms
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- R
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- 30 天内没有已合并 PR
描述
I tried to use plotly on ggplot graph that used geom_xsidehistogram and geom_ysidehistorgram, but when I did I got a warning that plotly was not yet implemented for geom_GeomXsidebar and geom_GeomYsidebar and suggestion to report it here. It would be lovely if plotly were implemented for these geoms.
My data structure was
master - a data frame containing:
- region (character)
- envir_var_elevation (numeric)
- loggdppc (numeric)
- value (numeric)
- reactive_value (numeric)
df_plot - a data frame containing:
- envir.group (numeric factor)
- loggdppc.group (numeric factor)
- value.squish (numeric)
- reactive_value.mean (numeric)
df_plot was created by taking the data from master binning elevation and loggdppc and then finding the mean in each bin combination.
Here is my plot code
p_elev_income = ggplot(df_plot, aes(x = envir.group, y = loggdppc.group, fill = value.squish,
text = glue("reactive adapt: {reactive_value.mean}"))) +
geom_tile() +
geom_xsidehistogram(data = master, aes(x = envir_var_elevation, y = after_stat(density)), binwidth = .01, inherit.aes = F) +
geom_ysidehistogram(data = master, aes(x = after_stat(density), y = loggdppc), binwidth = 0.08, inherit.aes = F) +
ggside(x.pos = "bottom", y.pos = "left") +
xlab(xlab_name) +
ylab("Log GDP per Capita") +
scale_fill_gradientn(colours = blue_red.colors,
name = scale_name,
limits = limits_val,
breaks = breaks_labels_val,
labels = breaks_labels_val,
values = rescale(rescale_val),
na.value = NA
) +
theme(panel.background = element_rect(fill = 'white', colour = 'grey'),
ggside.panel.scale.x = 0.2,
ggside.panel.scale.y = 0.2)
ggplotly(p_elev_income)
Here's what the plot looks like when plotted normally:
And here's what it looks like when plotted with plotly:
I was using plotly because I wanted the hover text/tool tip ability, and that functionality did work correctly for me. Unfortunately, the side histograms disappeared. Also for my use case, I only need the hover text/tool tip on the main geom_tile portion of the graphic having it also appear on the side histograms would just be a bonus.
贡献指南
从这里开始
- 先读完整个 Issue,再读项目的贡献指南。
- 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
- Fork 仓库,在一个分支上完成修改。
- 提交 Pull Request,并在描述里引用这个 Issue 编号。
调研方向
首先跟踪 ggplotly 如何处理 geom_GeomXsidebar 和 geom_GeomYsidebar,包括 geom_xsidehistogram 和 geom_ysidehistogram 入口点。将正常的 ggplot 输出与转换后的绘图进行比较,并验证侧边直方图能够在 ggplotly 中渲染,同时保留现有主 geom_tile 的 hover 文本。
由索引模型根据 Issue 内容生成。
评估
- 技术栈
- plotly, r
- 领域
- data-visualization
- Issue 类型
- 功能
- 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