本文介绍了如何在散点图中将固定的水平线和垂直线添加到散点图中的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有以下代码生成散点图,我想同时添加代表y轴和x轴平均值的垂直线和水平线,我该怎么做?
I have the following code producing a scatter plot and I would like to add both vertical and horizontal lines representing the mean values of the y axis and x axis, how could I do that?
f <- list(
family = "Courier New, monospace",
size = 18,
color = "#7f7f7f"
)
x <- list(
title = "Age of Buildings",
titlefont = f,
zeroline = FALSE,
showline = FALSE,
showticklabels = TRUE,
showgrid = TRUE
)
y <- list(
title = "Total Violations",
titlefont = f,
zeroline = FALSE,
showline = FALSE,
showticklabels = TRUE,
showgrid = TRUE
)
fig2 <- plot_ly(final, x=~agebuilding, y=~violationstotal, mode= "markers", color = ~INdexrehabless6, size = ~totalvalue)
fig2 <- fig2 %>% layout(xaxis = x, yaxis = y, legend=list(title=list(text='<b> Housing Conditions </b>'))) #chaging name legend
fig2
这是我得到的情节
推荐答案
为df final
使用一些随机数据.我不知道plotly
是否提供某种geom_h/vline
...而是我使用包含行起点和终点的数据帧构造了行.看看:
Using some random data for your df final
. I don't know whether plotly
provides some kind of geom_h/vline
... Instead I constructed the lines using dataframes which contain the start and the end point of the lines. Have a look:
set.seed(50)
final <- data.frame(
agebuilding = 150 * runif(50),
violationstotal = 30 * runif(50),
INdexrehabless6 = factor(sample(0:1, 50, replace = TRUE)),
totalvalue = 100 * runif(50)
)
mean_x <- data.frame(x = rep(mean(final$agebuilding), 2), y = c(0, ceiling(10* max(final$violationstotal))/10))
mean_y <- data.frame(y = rep(mean(final$violationstotal), 2), x = c(0, ceiling(10* max(final$agebuilding))/10))
library(plotly)
fig2 <- plot_ly(final) %>%
add_markers(x=~agebuilding, y=~violationstotal, color = ~INdexrehabless6, size = ~totalvalue) %>%
add_lines(x = ~x, y = ~y, data = mean_x, name = "Mean x") %>%
add_lines(x = ~x, y = ~y, data = mean_y, name = "Mean y")
fig2 <- fig2 %>% layout(xaxis = x, yaxis = y, legend=list(title=list(text='<b> Housing Conditions </b>'))) #chaging name legend
fig2
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