如何解决R绘图-按钮未使用正确的数据更新带颜色的条形图
我正在尝试添加自定义按钮以更新y轴,这是一个类似的小示例。 当我单击“ frq”或“ count”时,会显示正确的条形图,但值有误(每个城市仅取一个值,并将其放在所有性别类别的条形图中)
library(plotly)
library(dplyr)
library(tidyr)
Occupation = c("Tel Aviv","Paris","Amsterdam","Kyoto")
Gender = c("F","M","[missing]")
df <- crossing(Occupation,Gender) %>%
mutate(n = row_number()) %>%
group_by(.data[["Occupation"]]) %>%
mutate(frq = round(100 * (n / sum(n)),1))
chart_type <- list(
type = "buttons",direction = "right",xanchor = 'center',yanchor = "top",pad = list('r' = 0,'t' = 10,'b' = 10),x = 0.1,y = 1.20,buttons = list(
list(
method = "update",args = list(list(y = list(df$n))),label = "count"
),list(
method = "update",args = list(list(y = list(df$frq))),label = "frq"
)
)
)
df %>%
plot_ly(
x = ~ Occupation,y = ~ n,color = ~ Gender,text = ~ n,textposition = 'auto',type = "bar"
) %>%
layout(updatemenus = list(chart_type))
另一个版本:
chart_type <- list(
type = "buttons",pad = list('r'= 0,'t'= 10,buttons = list(
list(method = "update",args = list(list(visible = c(TRUE,FALSE)
)),label = "count"),list(method = "update",args = list(list(visible = c(FALSE,TRUE)
)),label = "frq")
))
df %>%
plot_ly(mode = 'markers',type = "bar") %>%
add_trace(x = ~Occupation,y = ~n,color = ~Gender,text=~n,visible = FALSE,colorbar = list()) %>%
add_trace(x = ~Occupation,y = ~frq,text=~frq,visible = TRUE,colorbar = list()) %>%
layout(updatemenus = list(chart_type))
点击后:
版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。