subplot() with bar and pie chart creates unnecessary attribute and warning
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- R
- 星號
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- 641
- PR 合併指標
- 30 天內沒有已合併 PR
描述
I'm trying to make a single chart that has both a bar chart and a relevant pie using subplot(). Subplot is optimal because I'd like the users to be able to screenshot both charts at once. Here is the code:
library(dplyr)
library(plotly)
bar_info <- data.frame(
Group = rep(c("first", "second", "third"), 2),
values_monthly = c(100, 200, 300, 400, 500, 600),
month = rep(c("April", "May"), each = 3) %>% as.factor()
)
pie_info <- group_by(bar_info, Group) %>%
summarise(values_total = sum(values_monthly))
colors = c("red", "blue", "yellow")
bar_chart <- plot_ly(bar_info, type = "bar",
x = ~ month, y = ~ values_monthly, color = ~Group,
colors = colors)
pie_chart <- plot_ly(pie_info, type = "pie",
labels = ~Group, values = ~values_total,
marker = list(colors = colors),
# setting up pie to the right
domain = list(x = c(0.9, 1), y = c(0,1)),
showlegend = F
)
combined_chart <- subplot(bar_chart, pie_chart, nrows = 1,
widths = c(0.9, 0.1))
combined_chart
Now, the most important thing, the chart looks as it should.
However, it displays these warnings:
Warning messages:
1: Can't display both discrete & non-discrete data on same axis
2: 'layout' objects don't have these attributes: 'NA'
Valid attributes include:
'_deprecated', 'activeshape', 'annotations', 'autosize', 'autotypenumbers', 'calendar', 'clickmode', 'coloraxis', 'colorscale', 'colorway', 'computed', 'datarevision', 'dragmode', 'editrevision', 'editType', 'font', 'geo', 'grid', 'height', 'hidesources', 'hoverdistance', 'hoverlabel', 'hovermode', 'images', 'legend', 'mapbox', 'margin', 'meta', 'metasrc', 'modebar', 'newshape', 'paper_bgcolor', 'plot_bgcolor', 'polar', 'scene', 'selectdirection', 'selectionrevision', 'separators', 'shapes', 'showlegend', 'sliders', 'smith', 'spikedistance', 'template', 'ternary', 'title', 'transition', 'uirevision', 'uniformtext', 'updatemenus', 'width', 'xaxis', 'yaxis', 'barmode', 'bargap', 'mapType'
How can I get rid of them? I've tried using shareX and shareY set to F or using add_trace for the pie, no help.
When I open the JSON with plotly_json(combined_chart), I can see that the layout object has a new, unneeded object NA2. This is probably related to the problem.
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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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- 送出 Pull Request,並在描述裡引用這個 Issue 編號。
研究方向
執行可重現的 R 範例並檢查 plotly_json(combined_chart),重點關注由 subplot 產生的 layout 以及意外的 NA2 物件。追蹤 subplot 如何組合長條圖和圓餅圖的 layout;當範例在沒有兩個警告中任何一個且沒有不必要的 layout 屬性的情況下完成渲染時,即表示完成。
由索引模型根據 Issue 內容生成。
評估
- 技術堆疊
- plotly, r
- 領域
- data-visualization
- Issue 類型
- 缺陷
- 難度
- 3/5
- 預估耗時
- 1-2 天
- 活躍度
- 停滯
- 描述清晰度
- 基本清楚
- 新手友好度
- 42/100