python - 如何从两个测量时间绘制连接点？

Question

这里的第一个问题！我有两列数据，每一行都是一对值。我想垂直绘制第一列和第二列，并用一条线连接每对值，如下链接所示：

http://www.sciencedirect.com/science/article/pii/S0300957297000440#gr1

如果您知道如何使用任何工具，例如 R、python、perl、excel，请告诉我！

Answer 1

另R一种使用matpointsand matlines(and boxplot)的方法

dd <- data.frame(x=rnorm(15), y= rnorm(15))

boxplot(dd, boxwex = 0.3)
# note that you need to transpose `dd`
matpoints(y= t(dd), x= c(1.17,1.83),pch=19, col='black')
matlines(y= t(dd), x= c(1.2,1.8), lty=1, col = 'black')

Answer 2

这是 ggplot2 的 R 方法，有点快速和肮脏：

library(ggplot2)

df <- data.frame(baseline=c(1,1,2,2,3,3,4,5,6,7,8,9,10,11),
                 sixmos  =c(5,6,5,7,8,9,10,12,12,2,1,5,2,3))

data <- data.frame(group = factor(1:nrow(df)), 
                   cat=c(rep('baseline',nrow(df)), 
                   rep('sixmos',nrow(df))), 
                   values=c(df$baseline,df$sixmos))

ggplot(data, aes(x=cat, y=values)) + 
  geom_line(aes(group=group)) + 
  geom_point(aes(group=group)) +
  geom_boxplot(data=df, aes(x='baselin', y=baseline)) + 
  geom_boxplot(data=df, aes(x='sixmos2', y=sixmos))

另请参阅此答案： 按组排列的折线图

Answer 3

这是 Python 中一个非常基本的尝试：

import pylab as pl

data = pl.array([[1,2],[2,3],[1,3],[2,1],[5,3],[3,2],[3,2],[1,1]])

first = data[:,0]
second = data[:,1]

xs = []
ys = []

for r in data:
   ys += list(r)
   ys.append(None)
   xs += [1.3,1.7]
   xs.append(None)

pl.plot([1.3]*len(first),first,'o',[1.7]*len(second),second,'o',xs,ys)
pl.boxplot(data)
pl.ylim([min(min(first),min(second))-.5,max(max(first),max(second))+.5])
labels = ("first", "second")
pl.xticks([1,2],labels)

pl.show()

将导致：

Answer 4

这是 R 中使用segments. 清理并添加了符合@mnel答案的箱线图：

first <- 1:10
second <- 2:11
boxplot(first,second, boxwex=0.3)
points(rep(c(1.2,1.8),each=10),c(first,second),pch=19)
segments(rep(1.2,10),first,rep(1.8,10),second,col="gray")

Answer 5

R 的另一种选择lattice- 不是最整洁的，但可以完成工作：

#load packages
library(lattice)
library(latticeExtra)

#example data
B <- subset(OrchardSprays, treatment == "B")
D <- subset(OrchardSprays, treatment == "D")
BD <- rbind(B,D)

#create three separate plots
nobox = list(axis.line=list(col="transparent"))#to remove box around plots
boxplotB <- bwplot(decrease ~ treatment, B, ylab = NULL, ylim=c(0,70), 
                   par.settings=nobox)
boxplotD <- bwplot(decrease ~ treatment, D, ylab = NULL, ylim=c(0,70), 
                   par.settings=nobox)
plotBD <- xyplot(decrease ~ treatment, BD, col=1, ylim=c(0,70), pch=16,  
                 par.settings=nobox, panel=function(x, y, ...) {
                   panel.xyplot(x, y, ...)
                   panel.points(x, y, ...)
                   #this loop is required to create connections between points
                   for(i in 1:nrow(B)) 
                        panel.lines(1:2, c(y[i], y[i+nrow(B)]), alpha=0.5, ...)
                   }
                 )

#combine three plots
comb <- c(boxplotB, plotBD, boxplotD, layout = c(3,1), y.same = F)
update(comb, scales = list(at = list(NA, NA, NA), y = list(draw = FALSE)))