当数据只有一个类别时显示颜色图例
Display color legend when data has only one category
我刚刚发现,如果一个变量映射到plotly
中的color
参数,只有当变量有多个类别时才会自动显示图例。如下图所示。 df1
有两个类别,它们显示在图例中。另一方面,df2
只有一个类别,没有显示图例。我的目标是在 df2
图中显示图例。
library(plotly)
df1 <- data.frame(
x = 1:100,
y = rnorm(100),
category = sample(c("cat", "dog"), 100, replace = TRUE)
)
plot_ly(
type = "scatter",
mode = "markers",
data = df1,
x = ~x,
y = ~y,
color = ~category
)
f2 <- data.frame(
x = 1:100,
y = rnorm(100),
category = "dog"
)
plot_ly(
type = "scatter",
mode = "markers",
data = df2,
x = ~x,
y = ~y,
color = ~category
)
您可以使用参数 showlegend
:
添加图例
plot_ly(
type = "scatter",
mode = "markers",
data = df2,
x = ~x,
y = ~y,
color = ~category
) %>% layout(showlegend = TRUE)
我刚刚发现,如果一个变量映射到plotly
中的color
参数,只有当变量有多个类别时才会自动显示图例。如下图所示。 df1
有两个类别,它们显示在图例中。另一方面,df2
只有一个类别,没有显示图例。我的目标是在 df2
图中显示图例。
library(plotly)
df1 <- data.frame(
x = 1:100,
y = rnorm(100),
category = sample(c("cat", "dog"), 100, replace = TRUE)
)
plot_ly(
type = "scatter",
mode = "markers",
data = df1,
x = ~x,
y = ~y,
color = ~category
)
f2 <- data.frame(
x = 1:100,
y = rnorm(100),
category = "dog"
)
plot_ly(
type = "scatter",
mode = "markers",
data = df2,
x = ~x,
y = ~y,
color = ~category
)
您可以使用参数 showlegend
:
plot_ly(
type = "scatter",
mode = "markers",
data = df2,
x = ~x,
y = ~y,
color = ~category
) %>% layout(showlegend = TRUE)