plotly::subplot 不显示两个标题
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【中文标题】plotly::subplot 不显示两个标题【英文标题】:plotly::sublot not showing both titles 【发布时间】:2021-10-18 03:31:34 【问题描述】:我正在尝试使用plotly::subplot
在R
中将两个plotly
绘图一起绘制。问题是子图没有显示plots
的titles
。类似问题的其他答案建议使用facet_wrap
或plot_ly
,但我正在寻找与ggplotly
一起使用的解决方案。
如何解决这个问题?
带代码的示例数据:
library(tidyverse)
library(plotly)
# Sample Data
Group_1_2020 = data.frame(Code = c("A", "B", "C"),
Count_2020 = c(1,2,3))
Group_2_2020 = data.frame(Code = c("D", "E", "F"),
Count_2020 = c(4,5,6))
Group_1_2021 = data.frame(Code = c("A", "B", "C"),
Count_2021 = c(4, 8, 6))
Group_2_2021 = data.frame(Code = c("D", "E", "F"),
Count_2021 = c(8, 10, 12))
# Merge Datasets
DF_Merged_1 =
inner_join(Group_1_2020, Group_1_2021)
DFF_Merged_1 = DF_Merged_1 %>% dplyr::select(Code, Count_2020, Count_2021) %>%
gather(key = Type, value = Value, -Code) %>%
mutate(Type = ifelse(Type == "Count_2020", "2020", "2021"))
DF_Merged_2 =
inner_join(Group_2_2020, Group_2_2021)
DFF_Merged_2 = DF_Merged_2 %>% dplyr::select(Code, Count_2020, Count_2021) %>%
gather(key = Type, value = Value, -Code) %>%
mutate(Type = ifelse(Type == "Count_2020", "2020", "2021"))
# ggplot
ggplot_1 = DFF_Merged_1 %>%
ggplot(aes(x = reorder(Code,Value), y = Value, fill = Type,
text = paste("Count:", Value,
"<br>", "Offense Code:", Code,
"<br>", "Year:", Type))) +
geom_col(position = "dodge", show.legend = FALSE) +
xlab("Offense Code") +
ylab("Count") +
ggtitle("Arrest Counts for Group 1 in Year 2020 and 2021") +
theme(axis.text=element_text(size=8))
ggplot_2 = DFF_Merged_2 %>%
ggplot(aes(x = reorder(Code,Value), y = Value, fill = Type,
text = paste("Count:", Value,
"<br>", "Offense Code:", Code,
"<br>", "Year:", Type))) +
geom_col(position = "dodge", show.legend = FALSE) +
xlab("Offense Code") +
ylab("Count") +
ggtitle("Arrest Counts for Group 2 in Year 2020 and 2021") +
theme(axis.text=element_text(size=8))
# Interactive Plots
fig1 = ggplotly(ggplot_1, tooltip = "text")
fig2 = ggplotly(ggplot_2, tooltip = "text")
subplot(fig1, fig2)
【问题讨论】:
【参考方案1】:你可以使用annotations
:
library(plotly)
gg1 <- ggplot(iris, aes(x = Sepal.Length, y = Sepal.Width)) + geom_point()
gg2 <- ggplot(iris, aes(x = Petal.Length, y = Petal.Width)) + geom_point()
pp1 <- ggplotly(gg1)
pp2 <- ggplotly(gg2)
subplot(pp1, pp2, margin = 0.05) %>%
layout(annotations = list(
list(x = 0.2 , y = 1.1, text = "Title 1", showarrow = FALSE, xref='paper', yref='paper'),
list(x = 0.8 , y = 1.1, text = "Title 2", showarrow = FALSE, xref='paper', yref='paper'))
)
编辑
作为subplot
的替代品,您可以使用manipulateWidget::combineWidgets
:
gg1 <- ggplot(iris, aes(x = Sepal.Length, y = Sepal.Width)) +
geom_point() + ggtitle("Title1")
gg2 <- ggplot(iris, aes(x = Petal.Length, y = Petal.Width)) +
geom_point() + ggtitle("Title2")
pp1 <- ggplotly(gg1)
pp2 <- ggplotly(gg2)
manipulateWidget::combineWidgets(pp1, pp2, nrow = 1)
那么,你必须使用renderCombineWidgets
和combineWidgetsOutput
,而不是renderPlotly
和plotlyOutput
——参见combineWidgets-shiny。
【讨论】:
第二种方法在Shiny
Error in UseMethod: no applicable method for 'plotly_build' applied to an object of class "c('combineWidgets', 'htmlwidget')"
返回错误。我应该将此错误作为单独的问题发布吗?
@Mandalorian 啊,是的。见rdrr.io/cran/manipulateWidget/man/combineWidgets-shiny.html以上是关于plotly::subplot 不显示两个标题的主要内容,如果未能解决你的问题,请参考以下文章
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