Reputation: 2949
I am using ggplot2 for a multiplot. Althoug after a lot of tweaking, I still face problems as:
Multiplot is:
I used the following R code for the same:
p1 <- ggplot(data = dplots[[1]],aes(timestamp,power/1000))+ geom_line()+
ylab("")+theme(axis.text.x=element_blank(),axis.title.x=element_blank(),axis.ticks.x=element_blank(),plot.margin = unit(c(-0.3,1,-0.3,1), "cm"))+labs(title="room1")
p2 <- ggplot(data = dplots[[2]],aes(timestamp,power/1000))+ geom_line()+
ylab("")+theme(axis.text.x=element_blank(),axis.title.x=element_blank(),axis.ticks.x=element_blank(),plot.margin = unit(c(-0.3,1,-0.3,1), "cm"))+ labs(title="room2")
p3 <- ggplot(data = dplots[[6]],aes(timestamp,power/1000))+ geom_line()+
ylab("")+theme(axis.text.x=element_blank(),axis.title.x=element_blank(),axis.ticks.x=element_blank(),plot.margin = unit(c(-0.3,1,-0.3,1), "cm"))+ labs(title="room3")
p4 <- ggplot(data = dplots[[4]],aes(timestamp,power/1000))+ geom_line()+
ylab("")+theme(axis.text.x=element_blank(),axis.title.x=element_blank(),axis.ticks.x=element_blank(),plot.margin = unit(c(-0.3,1,-0.3,1), "cm"))+ labs(title="room4")
p5 <- ggplot(data = dplots[[5]],aes(timestamp,power/1000))+ geom_line()+
ylab("")+theme(axis.text.x=element_blank(),axis.title.x=element_blank(),axis.ticks.x=element_blank(),plot.margin = unit(c(-0.3,1,-0.3,1), "cm"))+ labs(title="room5")
p6 <- ggplot(data = dplots[[3]],aes(timestamp,power/1000))+ geom_line()+
ylab("")+theme(axis.title.x=element_blank(),axis.ticks.x=element_blank(),plot.margin = unit(c(-0.3,1,-0.3,1), "cm"))+ labs(title="Chiller") +
scale_x_datetime(labels= date_format("%d-%m-%y",tz ="UTC"),breaks = pretty_breaks(8))
grid.arrange(p1,p2,p3,p4,p5,p6,nrow=6,ncol=1,heights=c(0.15,0.15,0.15,0.15,0.15,0.15),left="Power (KW)")
The dataset (dplots
) is stored at the link.
Upvotes: 3
Views: 2029
Reputation: 56004
With your existing code, use cowplot
package:
library(cowplot)
plot_grid(p1,p2,p3,p4,p5,p6,ncol=1,align = "v")
Upvotes: 5
Reputation: 83215
Probably the easiest solution is to combine the dataframes in the list in one dataset. With rbindlist
from the data.table
package you can also include id's for each dataframe:
library(data.table)
# bind the dataframes together into one datatable (which is an enhanced dataframe)
DT <- rbindlist(dplots, idcol = "id")
# give names to the id's
DT$id <- factor(DT$id, labels = c("room 1","room 2","room 3", "room 4","room 5","Chiller"))
library(ggplot2)
ggplot(DT, aes(x = timestamp, y = power)) +
geom_line() +
scale_x_datetime(expand = c(0,0)) +
facet_grid(id ~ ., scales="free_y") +
theme_bw()
this results in the following plot:
Upvotes: 10