巧妙地向线条添加标签
Add labels to lines plotly
我需要一些帮助来标记 plotly
中的一些重叠线。
我有一个包含以下列的数据框:
df$date = c("2014-09-30","2016-03-31","2016-03-31")
等
df$company = c("google", "amazon", "twitter", "twitter", "amazon", "google")
等
df$value = c(50, 60, 40, 50, 40, 60)
等
所有列的大小都相同。
我正在使用按公司分组的 plotly
绘制时间序列图,所以我将有 3 条不同的线,一条用于 google
,一条用于 twitter
,一条用于 amazon
,但我无法弄清楚如何绘制每条用图例进行颜色编码的线。我的情节代码如下:
num <- df %>% filter(Metric == "value")
num$Date <- as.Date(num$Date)
new.df <- num %>% group_by(company)
plot_ly(data=new.df) %>% add_lines(x=new.df$Date, y = new.df$value)
谢谢!
编辑:
我也试过了
df %>% filter(Metric == "value") %>% group_by("company") %>%
plot_ly(df) %>% add_lines(x = df$Date, y = df$Value)
无济于事。
library(ggplot2)
library(plotly)
#>
#> Attaching package: 'plotly'
#> The following object is masked from 'package:ggplot2':
#>
#> last_plot
#> The following object is masked from 'package:stats':
#>
#> filter
#> The following object is masked from 'package:graphics':
#>
#> layout
# create example data
data <-
iris %>%
transmute(
company = Species,
date = seq(50) %>% as.Date(origin = "2014-09-30") %>% rep(3),
value = Sepal.Width
)
data
#> company date value
#> 1 setosa 2014-10-01 3.5
#> 2 setosa 2014-10-02 3.0
#> 3 setosa 2014-10-03 3.2
#> 4 setosa 2014-10-04 3.1
#> 5 setosa 2014-10-05 3.6
plt <-
data %>%
ggplot(aes(x = date, y = value, color = company)) +
geom_line()
ggplotly(plt)
由 reprex package (v2.0.0)
于 2022-02-18 创建
我需要一些帮助来标记 plotly
中的一些重叠线。
我有一个包含以下列的数据框:
df$date = c("2014-09-30","2016-03-31","2016-03-31")
等
df$company = c("google", "amazon", "twitter", "twitter", "amazon", "google")
等
df$value = c(50, 60, 40, 50, 40, 60)
等
所有列的大小都相同。
我正在使用按公司分组的 plotly
绘制时间序列图,所以我将有 3 条不同的线,一条用于 google
,一条用于 twitter
,一条用于 amazon
,但我无法弄清楚如何绘制每条用图例进行颜色编码的线。我的情节代码如下:
num <- df %>% filter(Metric == "value")
num$Date <- as.Date(num$Date)
new.df <- num %>% group_by(company)
plot_ly(data=new.df) %>% add_lines(x=new.df$Date, y = new.df$value)
谢谢!
编辑:
我也试过了
df %>% filter(Metric == "value") %>% group_by("company") %>%
plot_ly(df) %>% add_lines(x = df$Date, y = df$Value)
无济于事。
library(ggplot2)
library(plotly)
#>
#> Attaching package: 'plotly'
#> The following object is masked from 'package:ggplot2':
#>
#> last_plot
#> The following object is masked from 'package:stats':
#>
#> filter
#> The following object is masked from 'package:graphics':
#>
#> layout
# create example data
data <-
iris %>%
transmute(
company = Species,
date = seq(50) %>% as.Date(origin = "2014-09-30") %>% rep(3),
value = Sepal.Width
)
data
#> company date value
#> 1 setosa 2014-10-01 3.5
#> 2 setosa 2014-10-02 3.0
#> 3 setosa 2014-10-03 3.2
#> 4 setosa 2014-10-04 3.1
#> 5 setosa 2014-10-05 3.6
plt <-
data %>%
ggplot(aes(x = date, y = value, color = company)) +
geom_line()
ggplotly(plt)
由 reprex package (v2.0.0)
于 2022-02-18 创建