问题描述
有人使用R创建
如果您的数据存储在 data.frame 中，则可以创建要传递给<$ c
请考虑以下方面：
df status = c ，active，crit），
pos = c（first_1，first_2，first_3），
start = c（2014-01-06 01-09，after first_2），
end = c（2014-01-08，3d，5d））
＃任务状态pos start end
＃1 task1 done first_1 2014-01-06 2014-01-08
＃2 task2 active first_2 2014-01-09 3d
＃3 task3 crit first_3 after first_2 5d
使用 dplyr 和 tidyr （或任何您喜欢的数据争夺资源）：
dplyr）
mermaid（
paste0（
＃mermaidheader，每个组件用\\\
分隔）换行符
gantt \\\
，
dateFormat YYYY-MM-DD，\\\
，
title A Very Nice Gantt Diagram，\\\
，
＃unite the前两列（任务&状态），并用：
＃将它们分开，然后，将其他列联合起来并用，分隔
＃这将创建所需的美人鱼body
paste（df％> ;％
unite（i，task，status，sep =：）％>％
unite（j，i，pos，start，end，sep =，）％&
。$ j，
collapse =\\\
），\\\
）
）
正如@GeorgeDontas在注释中提到的，有一个
使用timevis
从 timevis
使用plotly
我偶然发现了
您可以添加其他信息和注释，自定义字体和颜色等详情）
Has anybody used R to create a Gantt chart?The only solution that I'm aware of is this, but I'm looking for something more sophisticated, if possible (looking more or less like this or this).
P.S. I could live without the dependency arrows.
There are now a few elegant ways to generate a Gantt chart in R.
Using DiagrammeR
library(DiagrammeR)
mermaid("
gantt
dateFormat YYYY-MM-DD
title A Very Nice Gantt Diagram
section Basic Tasks
This is completed :done, first_1, 2014-01-06, 2014-01-08
This is active :active, first_2, 2014-01-09, 3d
Do this later : first_3, after first_2, 5d
Do this after that : first_4, after first_3, 5d
section Important Things
Completed, critical task :crit, done, import_1, 2014-01-06,24h
Also done, also critical :crit, done, import_2, after import_1, 2d
Doing this important task now :crit, active, import_3, after import_2, 3d
Next critical task :crit, import_4, after import_3, 5d
section The Extras
First extras :active, extras_1, after import_4, 3d
Second helping : extras_2, after extras_1, 20h
More of the extras : extras_3, after extras_1, 48h
")
Find this example and many more on DiagrammeR GitHub
If your data is stored in a data.frame, you can create the string to pass to mermaid() by converting it to the proper format.
Consider the following:
df <- data.frame(task = c("task1", "task2", "task3"),
status = c("done", "active", "crit"),
pos = c("first_1", "first_2", "first_3"),
start = c("2014-01-06", "2014-01-09", "after first_2"),
end = c("2014-01-08", "3d", "5d"))
# task status pos start end
#1 task1 done first_1 2014-01-06 2014-01-08
#2 task2 active first_2 2014-01-09 3d
#3 task3 crit first_3 after first_2 5d
Using dplyr and tidyr (or any of your favorite data wrangling ressources):
library(tidyr)
library(dplyr)
mermaid(
paste0(
# mermaid "header", each component separated with "\n" (line break)
"gantt", "\n",
"dateFormat YYYY-MM-DD", "\n",
"title A Very Nice Gantt Diagram", "\n",
# unite the first two columns (task & status) and separate them with ":"
# then, unite the other columns and separate them with ","
# this will create the required mermaid "body"
paste(df %>%
unite(i, task, status, sep = ":") %>%
unite(j, i, pos, start, end, sep = ",") %>%
.$j,
collapse = "\n"
), "\n"
)
)
As per mentioned by @GeorgeDontas in the comments, there is a little hack that could allow to change the labels of the x axis to dates instead of 'w.01, w.02'.
Assuming you saved the above mermaid graph in m, do:
m$x$config = list(ganttConfig = list(
axisFormatter = list(list(
"%b %d, %Y"
,htmlwidgets::JS(
'function(d){ return d.getDay() == 1 }'
)
))
))
Which gives:
Using timevis
From the timevis GitHub:
library(timevis)
data <- data.frame(
id = 1:4,
content = c("Item one" , "Item two" ,"Ranged item", "Item four"),
start = c("2016-01-10", "2016-01-11", "2016-01-20", "2016-02-14 15:00:00"),
end = c(NA , NA, "2016-02-04", NA)
)
timevis(data)
Which gives:
Using plotly
I stumbled upon this post providing another method using plotly. Here's an example:
library(plotly)
df <- read.csv("https://cdn.rawgit.com/plotly/datasets/master/GanttChart-updated.csv",
stringsAsFactors = F)
df$Start <- as.Date(df$Start, format = "%m/%d/%Y")
client <- "Sample Client"
cols <- RColorBrewer::brewer.pal(length(unique(df$Resource)), name = "Set3")
df$color <- factor(df$Resource, labels = cols)
p <- plot_ly()
for(i in 1:(nrow(df) - 1)){
p <- add_trace(p,
x = c(df$Start[i], df$Start[i] + df$Duration[i]),
y = c(i, i),
mode = "lines",
line = list(color = df$color[i], width = 20),
showlegend = F,
hoverinfo = "text",
text = paste("Task: ", df$Task[i], "<br>",
"Duration: ", df$Duration[i], "days<br>",
"Resource: ", df$Resource[i]),
evaluate = T
)
}
p
Which gives:
You can then add additional information and annotations, customize fonts and colors, etc. (see blog post for details)
这篇关于甘特图与R的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！