Grouped boxplot data not centred on xaxis ticks, looses boxgap argument, and wont resize with subplots
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描述
Hi @cpsievert!
Here after your Shiny webinar, great stuff!
I'm having issues with the boxplot data aligning with x-axis tick marks in subplots. Please see below:
library (data.table)
library (stringr)
library (plotly)
# some setup:
get_plot_title = function(this.plot.title, y.pos = 1, y.shift = 0){
list(text = sprintf ("<b>%s</b>", this.plot.title), yshift = y.shift
, xref = "paper", yref = "paper", yanchor = "center", xanchor = "center", align = "center"
, x = 0.5, y = y.pos, showarrow = FALSE, font = list (size = 16, family = "Arial")
)}
generate_panel = function(dat, trace.name){
my.plot =
plot_ly(dat, type = "box"
, x= ~get(x_var), y= ~get(y_var), color = ~get(color_var)
, whiskerwidth = 0.1
, boxpoints = F
) %>%
layout(boxmode = "group", boxgroupgap = 0.1, boxgap = 0.15
, plot_bgcolor = "#F5F5F5"
, annotations = get_plot_title(trace.name, y.shift = 20)
, xaxis = list(title = "", tickfont = list(size = 14, family = "Arial")
, tickmode = "linear", ticks = "outside")
, yaxis = list(title = sprintf("<b>%s</b>", y_var), titlefont = list (size = 16, family = "Arial"))
)
my.plot #return
}
x_var = "cut"
y_var = "price"
color_var = "color"
X_panel_var = "clarity"
test.dat = ggplot2::diamonds %>% setDT
Without subplots, everything looks great:
generate_panel(test.dat, trace.name = "all")

Adding two horizontal subplots:
test.dat[, get(X_panel_var) %>% levels][1:2] %>%
lapply(function(this.panel.var){
generate_panel(dat = test.dat[this.panel.var, on = X_panel_var], trace.name = this.panel.var)
}) %>%
subplot(shareY = T, shareX = F, titleX = F, nrows = 1, which_layout = 1, margin = 0.01)
Boxplot groups shift off the centre of the xaxis ticks, and the boxgap argument becomes irrelevant:

Enlarging this plot does not work at all (cuts off the data at the original subplot width and height, yikes!):

Interestingly, with 3 horizontal subplots, the middle plot data is centered around ticks, but the outer plots are even further away (and the boxgaps are worse):
test.dat[, get(X_panel_var) %>% levels][1:3] %>%
lapply(function(this.panel.var){
generate_panel(dat = test.dat[this.panel.var, on = X_panel_var], trace.name = this.panel.var)
}) %>%
subplot(shareY = T, shareX = F, titleX = F, nrows = 1, which_layout = 1, margin = 0.01)

Just wondering if you have any ideas / suggestions?
Thank you!
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调研方向
使用 generate_panel 和 subplot,以两个和三个水平面板重现所提供的 R diamonds 示例。首先调查 subplot boxplot 布局和调整大小的入口点。完成标准是:分组框仍保持在 x 轴刻度的中心,遵守 boxgap,并且放大的子图显示所有数据。
由索引模型根据 Issue 内容生成。
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- 技术栈
- plotly, r
- 领域
- data-visualization
- Issue 类型
- 缺陷
- 难度
- 4/5
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- 3-5 天
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- 35/100