Create an interactive level plot (heatmap)
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Create an interactive level plot (heatmap)
I have some test data that looks like this:
library(rbokeh)
library(lattice)
Date<-as.Date(c("2017-01-01","2017-01-01","2017-01-01","2017-01-02","2017-01-02","2017-01-02","2017-01-03","2017-01-03","2017-01-03","2017-01-4","2017-01-4","2017-01-4"))
Date<-as.POSIXct(Date)
Y<-c(1,2,3,1,2,3,1,2,3,1,2,3)
Temp<-c(20,23,25,19,20,21,18,19,20,13,17,19)
DF<-data.frame(Date,Y,Temp)
I visualize it using lattice levelplot like this:
dev.new(width=15, height=6)
levelplot(Temp ~ Date * Y, data = DF,ylim=c(3,1),
xlab = "TimeStamp", ylab = "Temp",
main = "Test", aspect=0.4,
col.regions =colorRampPalette(c('blue','red')),at=seq(13, 25, length.out=120))
I have started using rbokeh to create interactive plots in order to zoom in on various aspects of the x (date) axis for basic data exploration. But I cant find a way to create a similar kind of rbokeh-ish plot for this kind of levelplot. Is there a way to have rbokeh create a levelplot, or if not someother library that can?
Plotly does have some very useful plotting functions. Thanks for the tip
– Vint
Aug 13 at 15:51
1 Answer
1
devtools::install_github("JohnCoene/echarts4r")
library(echarts4r)
DF %>%
dplyr::mutate(Date = as.Date(Date)) %>%
e_charts(Date) %>%
e_heatmap(Y, Temp) %>%
e_visual_map(Temp)
While this code may answer the question, providing additional context regarding how and/or why it solves the problem would improve the answer's long-term value.
– Nic3500
Aug 12 at 1:24
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Have you looked at plotly?
– Michael Bird
Aug 10 at 15:01