R多y轴交互图
R multiple y axis interactive plot
我正在尝试在 R 中创建一个与此类似的图:
最多 6 个变量,并且必须是反应式的。
我在 plotly 中尝试过,但是在 plotly 中我会在 plotly 上得到轴刻度,它变得混乱,我设法只得到一个 y 轴。
有没有办法在 plotly 或任何其他交互式库中重新创建情节?
我的剧情代码:
library(dplyr)
library(plotly)
library(tidyr)
data <- cbind(
seq(from = 1, to = 30, by = 1),
sample(seq(from = 100, to = 300, by = 10), size = 30, replace = TRUE),
sample(seq(from = 1, to = 100, by = 9), size = 30, replace = TRUE),
sample(seq(from = 50, to = 60, by = 2), size = 30, replace = TRUE),
sample(seq(from = 100, to = 130, by = 1), size = 30, replace = TRUE)
) %>%
as.data.frame()
names(data) <- c("date", "a", "b", "x", "y")
plot_ly(x = ~data$date) %>%
add_lines(y = ~data[, 2], name = "a", line = list(color = "red")) %>%
add_lines(y = ~data[, 3], name = "b", line = list(color = "blue"), yaxis = "y2") %>%
add_lines(y = ~data[, 4], name = "x", line = list(color = "green"), yaxis = "y3") %>%
add_lines(y = ~data[, 5], name = "y", line = list(color = "pink"), yaxis = "y4") %>%
layout(
yaxis = list(
side = "left",
title = list("")
),
yaxis2 = list(
side = "left",
overlaying = "y",
anchor = "free"
),
yaxis3 = list(
side = "left",
overlaying = "y",
anchor = "free",
position = 0.04
),
yaxis4 = list(
side = "left",
overlaying = "y",
anchor = "free",
position = 0.08
),
margin = list(pad = 30)
)
我刚刚调整了您的代码。希望这对您有所帮助!
plot_ly(x = ~data$date) %>%
add_lines(y = ~data[, 2], name = "a", line = list(color = "red")) %>%
add_lines(y = ~data[, 3], name = "b", line = list(color = "blue"), yaxis = "y2") %>%
add_lines(y = ~data[, 4], name = "x", line = list(color = "green"), yaxis = "y3") %>%
add_lines(y = ~data[, 5], name = "y", line = list(color = "pink"), yaxis = "y4") %>%
layout(
yaxis = list(
side = "left",
color="red",
title = ""
),
yaxis2 = list(
overlaying = "y",
anchor = "free",
color="blue",
title= ""
),
yaxis3 = list(
side = "right",
overlaying = "y",
color="green",
title= ""
),
yaxis4 = list(
side = "right",
overlaying = "y",
anchor = "free",
position = 1,
color="pink",
title= ""
),
xaxis = list(
title = ""
),
margin = list(pad = 25)
)
使用 highcharter
包可以创建具有多个 y 轴的漂亮时间序列图:
library(highcharter)
set.seed(1)
n <- 100
x1 <- cumsum(rnorm(n))
x2 <- cumsum(runif(n)-0.5)+10
x3 <- cumsum(rnorm(n,0,20))+100
x4 <- cumsum(rnorm(n,0,20))+1000
highchart() %>%
hc_add_series(data = x1) %>%
hc_add_series(data = x2, yAxis = 1) %>%
hc_add_series(data = x3, yAxis = 2) %>%
hc_add_series(data = x4, yAxis = 3) %>%
hc_yAxis_multiples(
list(lineWidth = 3, lineColor='#7cb5ec', title=list(text="First y-axis")),
list(lineWidth = 3, lineColor="#434348", title=list(text="Second y-axis")),
list(lineWidth = 3, lineColor="#90ed7d", title=list(text="Third y-axis")),
list(lineWidth = 3, lineColor="#f7a35c", title=list(text="Fourth y-axis"))
)
要添加和修改@Prem 的答案,您可以通过使用 domain 调整图表的 x 轴部分来避免 y 轴与图表本身重叠x轴的参数。
plot_ly(data, x = ~time, type = 'scatter', mode = 'lines') %>%
add_lines(y = ~y1, name='y1', line = list(color = "red")) %>%
add_lines(y = ~y2, name='y2', yaxis='y2', line = list(color = "orange")) %>%
add_lines(y = ~y3, name='y3', yaxis='y3', line = list(color = "darkgreen")) %>%
add_lines(y = ~y4, name='y4', yaxis='y4', line = list(color = "purple")) %>%
add_lines(y = ~y5, name='y5', yaxis='y5', line = list(color = "brown")) %>%
layout(
xaxis = list(title = "time", domain = c(0.5,1)),
yaxis = list(title = 'Y-axis 1', side = "left", color = "red", position = 0,
anchor = 'free'),
yaxis2 = list(title = 'Y-axis 2', side = "left", color = "orange",
overlaying = "y", anchor = 'free', position = 0.1),
yaxis3 = list(title = 'Y-axis 3', side = "left",
overlaying = "y", anchor = 'free', color = "darkgreen", position = 0.2),
yaxis4 = list(title = 'Y-axis 4', side = "left",
overlaying = "y", anchor = 'free', color = "purple", position = 0.3),
yaxis5 = list(title = 'Y-axis 5',side = "left",
overlaying = "y", anchor = 'free', color = "brown", position = 0.4),
showlegend = T
)
可以使用 position 参数设置单个 y 轴相对于绘图大小的位置(以百分比表示)。
在上面的示例中,每个 y 轴占总绘图大小的 10%,而图形保留给右半部分。
我正在尝试在 R 中创建一个与此类似的图:
最多 6 个变量,并且必须是反应式的。
我在 plotly 中尝试过,但是在 plotly 中我会在 plotly 上得到轴刻度,它变得混乱,我设法只得到一个 y 轴。
有没有办法在 plotly 或任何其他交互式库中重新创建情节?
我的剧情代码:
library(dplyr)
library(plotly)
library(tidyr)
data <- cbind(
seq(from = 1, to = 30, by = 1),
sample(seq(from = 100, to = 300, by = 10), size = 30, replace = TRUE),
sample(seq(from = 1, to = 100, by = 9), size = 30, replace = TRUE),
sample(seq(from = 50, to = 60, by = 2), size = 30, replace = TRUE),
sample(seq(from = 100, to = 130, by = 1), size = 30, replace = TRUE)
) %>%
as.data.frame()
names(data) <- c("date", "a", "b", "x", "y")
plot_ly(x = ~data$date) %>%
add_lines(y = ~data[, 2], name = "a", line = list(color = "red")) %>%
add_lines(y = ~data[, 3], name = "b", line = list(color = "blue"), yaxis = "y2") %>%
add_lines(y = ~data[, 4], name = "x", line = list(color = "green"), yaxis = "y3") %>%
add_lines(y = ~data[, 5], name = "y", line = list(color = "pink"), yaxis = "y4") %>%
layout(
yaxis = list(
side = "left",
title = list("")
),
yaxis2 = list(
side = "left",
overlaying = "y",
anchor = "free"
),
yaxis3 = list(
side = "left",
overlaying = "y",
anchor = "free",
position = 0.04
),
yaxis4 = list(
side = "left",
overlaying = "y",
anchor = "free",
position = 0.08
),
margin = list(pad = 30)
)
我刚刚调整了您的代码。希望这对您有所帮助!
plot_ly(x = ~data$date) %>%
add_lines(y = ~data[, 2], name = "a", line = list(color = "red")) %>%
add_lines(y = ~data[, 3], name = "b", line = list(color = "blue"), yaxis = "y2") %>%
add_lines(y = ~data[, 4], name = "x", line = list(color = "green"), yaxis = "y3") %>%
add_lines(y = ~data[, 5], name = "y", line = list(color = "pink"), yaxis = "y4") %>%
layout(
yaxis = list(
side = "left",
color="red",
title = ""
),
yaxis2 = list(
overlaying = "y",
anchor = "free",
color="blue",
title= ""
),
yaxis3 = list(
side = "right",
overlaying = "y",
color="green",
title= ""
),
yaxis4 = list(
side = "right",
overlaying = "y",
anchor = "free",
position = 1,
color="pink",
title= ""
),
xaxis = list(
title = ""
),
margin = list(pad = 25)
)
使用 highcharter
包可以创建具有多个 y 轴的漂亮时间序列图:
library(highcharter)
set.seed(1)
n <- 100
x1 <- cumsum(rnorm(n))
x2 <- cumsum(runif(n)-0.5)+10
x3 <- cumsum(rnorm(n,0,20))+100
x4 <- cumsum(rnorm(n,0,20))+1000
highchart() %>%
hc_add_series(data = x1) %>%
hc_add_series(data = x2, yAxis = 1) %>%
hc_add_series(data = x3, yAxis = 2) %>%
hc_add_series(data = x4, yAxis = 3) %>%
hc_yAxis_multiples(
list(lineWidth = 3, lineColor='#7cb5ec', title=list(text="First y-axis")),
list(lineWidth = 3, lineColor="#434348", title=list(text="Second y-axis")),
list(lineWidth = 3, lineColor="#90ed7d", title=list(text="Third y-axis")),
list(lineWidth = 3, lineColor="#f7a35c", title=list(text="Fourth y-axis"))
)
要添加和修改@Prem 的答案,您可以通过使用 domain 调整图表的 x 轴部分来避免 y 轴与图表本身重叠x轴的参数。
plot_ly(data, x = ~time, type = 'scatter', mode = 'lines') %>%
add_lines(y = ~y1, name='y1', line = list(color = "red")) %>%
add_lines(y = ~y2, name='y2', yaxis='y2', line = list(color = "orange")) %>%
add_lines(y = ~y3, name='y3', yaxis='y3', line = list(color = "darkgreen")) %>%
add_lines(y = ~y4, name='y4', yaxis='y4', line = list(color = "purple")) %>%
add_lines(y = ~y5, name='y5', yaxis='y5', line = list(color = "brown")) %>%
layout(
xaxis = list(title = "time", domain = c(0.5,1)),
yaxis = list(title = 'Y-axis 1', side = "left", color = "red", position = 0,
anchor = 'free'),
yaxis2 = list(title = 'Y-axis 2', side = "left", color = "orange",
overlaying = "y", anchor = 'free', position = 0.1),
yaxis3 = list(title = 'Y-axis 3', side = "left",
overlaying = "y", anchor = 'free', color = "darkgreen", position = 0.2),
yaxis4 = list(title = 'Y-axis 4', side = "left",
overlaying = "y", anchor = 'free', color = "purple", position = 0.3),
yaxis5 = list(title = 'Y-axis 5',side = "left",
overlaying = "y", anchor = 'free', color = "brown", position = 0.4),
showlegend = T
)
可以使用 position 参数设置单个 y 轴相对于绘图大小的位置(以百分比表示)。 在上面的示例中,每个 y 轴占总绘图大小的 10%,而图形保留给右半部分。