[英]R plotly scatterpolar chart bubble missing
我知道它必须是基本的东西,但很难找到问题。 这是我易于重现的R代码 :
library(plotly)
risk_status <- data.frame(
id <- c(1:6),
r <- c(1, 2, 3, 4, 3, 2),
theta <- c(30, 90, 180, 220, 270, 330),
bubbleSize <- c(10, 20, 30, 40, 50, 60),
name <- c("Rick","Dan","Michelle","Ryan","Gary", "Pedro"),
status <- c("Low", "Medium", "Low", "Medium", "Low", "Low")
)
risk_status$status <- factor(risk_status$status, levels = c("Low", "Medium", "High"))
bubble_colors_vector <- c("red", "green", "blue")
p <- plot_ly( data = risk_register_data) %>%
add_trace(
type = 'scatterpolar',
r = ~r,
theta = ~theta,
size = as.numeric(risk_status$status),
sizes = c(100,500)#,
#color = risk_status$status,
#colors = bubble_colors_vector
) %>%
add_trace(
type = "scatterpolar",
mode = "text",
r = risk_status$r,
theta = risk_status$theta,
text = risk_status$id
)
p
图表输出:
到目前为止,这很好。 但现在让我们说,如果我想在其中引入颜色,只需通过取消注释color
和colors
参数。 我得到这个图表:
假设我使用color = as.numeric(risk_status$status)
在这种情况下,我得到这样的图表
在这里,我不想要这个尺度和传说。
我知道,有一些问题,因为在factoring
的status
数据帧的专栏中,我已经提供了"Low", "Medium", "High"
的水平,而在列仅"Low", "Medium"
是存在的。 但是,这是一个正常的情况,也没有颜色,气泡的大小正确表示,那么为什么在添加颜色的同时也缺少尺寸?
提前致谢!
最后,我通过在for loop
中使用add_trace
的解决方法解决了这个问题。
这是代码:
library(plotly)
risk_status <- data.frame(
id <- c(1:6),
r <- c(1, 2, 3, 4, 3, 2),
theta <- c(30, 90, 180, 220, 270, 330),
bubbleSize <- c(10, 20, 30, 40, 50, 60),
name <- c("Rick","Dan","Michelle","Ryan","Gary", "Pedro"),
status <- c("Low", "Medium", "Low", "Medium", "Low", "Low")
)
risk_status$status <- factor(risk_status$status, levels = c("Low", "Medium", "High"))
bubble_colors_vector <- c("red", "green", "blue")
p <- plot_ly( data = risk_status) %>%
add_trace(
type = 'scatterpolar',
r = risk_status$r[risk_status$status == 'Low'],
theta = risk_status$theta[risk_status$status == 'Low'],
#size = as.numeric(risk_status$status[risk_status$status == 'Low']),
#sizes = c(100,500),
#color = 'red', #risk_status$status[risk_status$status == 'Low'], #as.numeric(risk_status$status), #risk_status$status,
#colors = bubble_colors_vector[risk_status$status == 'Low'],
mode = 'markers',
marker = list(symbol = 'circle', line = list(width = 1, color = 'black'), mode="scatterpolar", color = "red", size=20)
) %>%
add_trace(
type = 'scatterpolar',
r = risk_status$r[risk_status$status == 'Medium'],
theta = risk_status$theta[risk_status$status == 'Medium'],
#size = as.numeric(risk_status$status[risk_status$status == 'Medium']),
#sizes = c(100,500),
#color = 'red', #risk_status$status[risk_status$status == 'Medium'], #as.numeric(risk_status$status), #risk_status$status,
#colors = bubble_colors_vector[risk_status$status == 'Medium'],
mode = 'markers',
marker = list(symbol = 'circle', line = list(width = 1, color = 'black'), mode="scatterpolar", color = "yellow", size=20)
) %>%
add_trace(
type = 'scatterpolar',
r = risk_status$r[risk_status$status == 'High'],
theta = risk_status$theta[risk_status$status == 'High'],
#size = as.numeric(risk_status$status[risk_status$status == 'High']),
#sizes = c(100,500),
#color = 'red', #risk_status$status[risk_status$status == 'High'], #as.numeric(risk_status$status), #risk_status$status,
#colors = bubble_colors_vector[risk_status$status == 'High'],
mode = 'markers',
marker = list(symbol = 'circle', line = list(width = 1, color = 'black'), mode="scatterpolar", color = "green", size=20)
) %>%
add_trace(
type = "scatterpolar",
mode = "text",
r = risk_status$r,
theta = risk_status$theta,
text = risk_status$id
)
p
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.