R:是“计数”吗?交互式情节标题有必要吗?
我正在使用 R 编程语言。
使用以下链接作为教程(https://plotly.com/r/lines-on -maps/),我能够制作一个交互式绘图:
#load libraries
library(dplyr)
library(leaflet)
library(plotly)
library(data.table)
#generate data for example (longitude and latitude of cities)
lat = rnorm(100, 43, 3)
long = rnorm(100, -79, 3)
map_data = data.frame(lat, long)
map_data$type = as.factor(1:100)
#change format of the data so that it is compatible for this example
result = rbind(
cbind(map_data[1:nrow(map_data)-1,c(1,2)], map_data[-1,c(1,2)]),
cbind(map_data[nrow(map_data), c(1,2)], map_data[1,c(1,2)])
)
colnames(result) <- c("start_lat", "start_long", "end_lat", "end_long")
my_data = result
my_data$type = as.factor(1:nrow(my_data))
my_data$type1 = as.character(1:100)
my_data$count = as.integer(1)
my_data$id = 1:100
#### begin visualization
# map projection
geo <- list(
scope = 'north america',
projection = list(type = 'azimuthal equal area'),
showland = TRUE,
landcolor = toRGB("gray95"),
countrycolor = toRGB("gray80")
)
fig <- plot_geo(locationmode = 'USA-states', color = I("red"))
fig <- fig %>% add_markers(
data = my_data, x = ~start_long, y = ~start_lat, alpha = 0.5
)
fig <- fig %>% add_markers(
data = my_data, x = ~start_long, y = ~start_lat, hoverinfo = "text", alpha = 0.5
)
fig <- fig %>% add_segments(
data = group_by(my_data, type),
x = ~start_long, xend = ~end_long,
y = ~start_lat, yend = ~end_lat,
alpha = 0.3, size = I(1), hoverinfo = "none"
)
fig <- fig %>% layout(
title = 'Plot 1',
geo = geo, showlegend = FALSE, height=800
)
#final result
fig
这会产生以下结果:
<图片src="https://i.sstatic.net/B7DYl.png" alt="在此处输入图像描述">
现在,我正在尝试让“交互式文本”正常工作:
# map projection
geo <- list(
scope = 'north america',
projection = list(type = 'azimuthal equal area'),
showland = TRUE,
landcolor = toRGB("gray95"),
countrycolor = toRGB("gray80")
)
fig <- plot_geo(locationmode = 'USA-states', color = I("red"))
fig <- fig %>% add_markers(
data = my_data, x = ~start_long, y = ~start_lat, alpha = 0.5
)
fig <- fig %>% add_markers(
data = my_data, x = ~start_long, y = ~start_lat, text = ~type1, size = ~count, hoverinfo = "text", alpha = 0.5
)
fig <- fig %>% add_segments(
data = group_by(my_data, type),
x = ~start_long, xend = ~end_long,
y = ~start_lat, yend = ~end_lat,
alpha = 0.3, size = I(1), hoverinfo = "none"
)
fig <- fig %>% layout(
title = 'Plot 1',
geo = geo, showlegend = FALSE, height=800
)
fig
交互式文本现在是有效,但数据点显得“庞大得多”。
我的问题:是否可以使交互式文本正常工作,但数据点的显示方式与第一张图片中的相同?
我最初尝试在没有“count”变量的情况下执行此操作:
fig <- fig %>% add_markers(
data = my_data, x = ~start_long, y = ~start_lat, text = ~type1, hoverinfo = "text", alpha = 0.5
)
但是当我这样做时,交互式文本不起作用 - 交互式文本仅在添加“count”变量时才起作用。
这个“count”变量有必要吗?有人可以告诉我如何解决这个问题吗?
谢谢!
I am working with the R Programming language.
Using the following link as a tutorial (https://plotly.com/r/lines-on-maps/), I was able to make an interactive plot:
#load libraries
library(dplyr)
library(leaflet)
library(plotly)
library(data.table)
#generate data for example (longitude and latitude of cities)
lat = rnorm(100, 43, 3)
long = rnorm(100, -79, 3)
map_data = data.frame(lat, long)
map_data$type = as.factor(1:100)
#change format of the data so that it is compatible for this example
result = rbind(
cbind(map_data[1:nrow(map_data)-1,c(1,2)], map_data[-1,c(1,2)]),
cbind(map_data[nrow(map_data), c(1,2)], map_data[1,c(1,2)])
)
colnames(result) <- c("start_lat", "start_long", "end_lat", "end_long")
my_data = result
my_data$type = as.factor(1:nrow(my_data))
my_data$type1 = as.character(1:100)
my_data$count = as.integer(1)
my_data$id = 1:100
#### begin visualization
# map projection
geo <- list(
scope = 'north america',
projection = list(type = 'azimuthal equal area'),
showland = TRUE,
landcolor = toRGB("gray95"),
countrycolor = toRGB("gray80")
)
fig <- plot_geo(locationmode = 'USA-states', color = I("red"))
fig <- fig %>% add_markers(
data = my_data, x = ~start_long, y = ~start_lat, alpha = 0.5
)
fig <- fig %>% add_markers(
data = my_data, x = ~start_long, y = ~start_lat, hoverinfo = "text", alpha = 0.5
)
fig <- fig %>% add_segments(
data = group_by(my_data, type),
x = ~start_long, xend = ~end_long,
y = ~start_lat, yend = ~end_lat,
alpha = 0.3, size = I(1), hoverinfo = "none"
)
fig <- fig %>% layout(
title = 'Plot 1',
geo = geo, showlegend = FALSE, height=800
)
#final result
fig
This produces the following result:
Now, I am trying to get the "interactive text" to work:
# map projection
geo <- list(
scope = 'north america',
projection = list(type = 'azimuthal equal area'),
showland = TRUE,
landcolor = toRGB("gray95"),
countrycolor = toRGB("gray80")
)
fig <- plot_geo(locationmode = 'USA-states', color = I("red"))
fig <- fig %>% add_markers(
data = my_data, x = ~start_long, y = ~start_lat, alpha = 0.5
)
fig <- fig %>% add_markers(
data = my_data, x = ~start_long, y = ~start_lat, text = ~type1, size = ~count, hoverinfo = "text", alpha = 0.5
)
fig <- fig %>% add_segments(
data = group_by(my_data, type),
x = ~start_long, xend = ~end_long,
y = ~start_lat, yend = ~end_lat,
alpha = 0.3, size = I(1), hoverinfo = "none"
)
fig <- fig %>% layout(
title = 'Plot 1',
geo = geo, showlegend = FALSE, height=800
)
fig
The interactive text is now working, but the data points are appearing "much bulkier".
My Question: Is it possible to make the interactive text work, but have the data points appear the same way they do in the first picture?
I originally tried to do this without a "count" variable:
fig <- fig %>% add_markers(
data = my_data, x = ~start_long, y = ~start_lat, text = ~type1, hoverinfo = "text", alpha = 0.5
)
But when I do this, the interactive text isn't working - the interactive text only works when a "count" variable is added.
Is this "count" variable necessary? Can someone please show me how to fix this?
Thanks!
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您不需要使用
count
。然而,这些片段有些奇怪。无论哪种方式,这都实现了我认为您正在寻找的目标。我提供了两个示例,因为您没有说出您想要在悬停文本中包含的内容。在第一个示例中,我仅使用 x 和 y(纬度和经度)。在第二个中,我使用了自定义悬停内容。
创建
fig
之前的所有内容都保持不变。显着变化:
fig
元素的组装顺序;分段似乎只有在hoverinfo
之前才起作用,现在将其设置为text
- 这不会添加悬停内容,但由于某种原因 < code>none 这里有一个问题...奇怪的是fig
或两个的调用,这似乎没有做任何事情...add_markers
中,这在两个选项中发生了不同的变化hovertext = "text"
更改为hovertext = "lat+lon"
height
参数;它被忽略了这是自定义文本版本
如果您有任何问题,请告诉我!
You don't need to use
count
. However, there is something odd here with the segments. Either way, this achieves what I think you're looking for.I have provided two examples because you didn't say what you wanted to have in the hover text. In the first example, I just use the x and y (lat and long). In the second, I used custom hover content.
Everything that precedes the creation of
fig
was left unchanged.Notable changes:
fig
elements are assembled; segments seems to only work if it is before the markershoverinfo
for the segments add is now set totext
--this didn't add hover content, but for some reasonnone
here was a problem...oddfig
or two, that seemed to be doing nothing...add_markers
, this changed differently in the two optionshovertext = "text"
was changed tohovertext = "lat+lon"
layout
, I deleted theheight
argument; it's ignoredHere's the custom text version
Let me know if you have any questions!