[英]Adding arrows (or image of arrow) onto bar chart in plotly or ggplot in R?
有沒有辦法根據一些基礎信息將箭頭圖像添加到條形圖的一側?
我有以下腳本:
library(tidyverse)
library(plotly)
data <- tibble(url = c("google.com","yahoo.com","yandex.com"), values = c(500,400,300), change = c(0.5,-0.9,0.1))
data
data %>%
plot_ly(x = data$values,
y = data$url,
type = "bar")
這會在 plotly 中生成一個簡單的條形圖,我想在每個條形圖旁邊添加一些箭頭,以顯示值根據data$change
列減少或增加。 因此,如果數字為正,則箭頭朝上且呈綠色,如果為負,則箭頭朝下且呈紅色
這可能嗎?
如果這一切都不可能 - 有沒有辦法只覆蓋百分比變化的文本而不是條形圖旁邊?
希望這會將 go 放到 shiny 應用程序上,所以即使有一種嵌入或覆蓋 html 元素的方法也會有用!
如果 ggplot 有替代方案,我也會感興趣。
希望看起來像這樣:
只是為了更新以下答案,代碼將是:
`library(tidyverse)
library(plotly)
data <- tibble(url = c("google.com","yahoo.com","yandex.com"), values = c(500,400,300), change = c(0.5,-0.9,0.1))
data
data %>%
plot_ly(x = data$values,
y = data$url,
type = "bar")
library(dplyr)
data <- data %>%
mutate(x.start = values + 50,
y.end = seq(0,2,1),
y.start = y.end + 0.5) %>%
mutate(y.start.new = case_when(sign(change) == -1 ~ y.end,
TRUE ~ y.start),
y.end.new = case_when(sign(change) == -1 ~ y.start,
TRUE ~ y.end)
)
data %>%
plot_ly(x = data$values,
y = data$url,
type = "bar") %>%
add_markers(~values, ~url) %>%
add_annotations(x = ~x.start[change == "up"],
y = ~y.start.new[change == "up"],
xref = "x", yref = "y",
axref = "x", ayref = "y",
text = "",
showarrow = T,
ax = ~x.start[change == "up"],
ay = ~y.end.new[change == "up"],
arrowcolor = "green") %>%
add_annotations(x = ~x.start[change == "down"],
y = ~y.start.new[change == "down"],
xref = "x", yref = "y",
axref = "x", ayref = "y",
text = "",
showarrow = T,
ax = ~x.start[change == "down"],
ay = ~y.end.new[change == "down"],
arrowcolor = "red")
`
但是您不生產相同的 output - 只出現一個箭頭?
您可以添加注釋。 首先指定箭頭的開始和結束位置:請注意,在您提供的數據中,您有 yahoo 減少,而不是像 plot 中的 yandex。
library(dplyr)
data <- data %>%
mutate(x.start = values + 50,
y.end = seq(0,2,1),
y.start = y.end + 0.5) %>%
mutate(y.start.new = case_when(sign(change) == -1 ~ y.end,
TRUE ~ y.start),
y.end.new = case_when(sign(change) == -1 ~ y.start,
TRUE ~ y.end)
) %>%
mutate(change_dir = case_when(sign(change) == -1 ~ "down",
sign(change) == 1 ~ "up"))
然后 plot 使用add_annotations
data %>%
plot_ly(x = data$values,
y = data$url,
type = "bar") %>%
add_markers(~values, ~url) %>%
add_annotations(x = ~x.start[change_dir == "up"],
y = ~y.start.new[change_dir == "up"],
xref = "x", yref = "y",
axref = "x", ayref = "y",
text = "",
showarrow = T,
ax = ~x.start[change_dir == "up"],
ay = ~y.end.new[change_dir == "up"],
arrowcolor = "green") %>%
add_annotations(x = ~x.start[change_dir == "down"],
y = ~y.start.new[change_dir == "down"],
xref = "x", yref = "y",
axref = "x", ayref = "y",
text = "",
showarrow = T,
ax = ~x.start[change_dir == "down"],
ay = ~y.end.new[change_dir == "down"],
arrowcolor = "red")
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