Black Lives Matter. Please consider donating to Black Girls Code today.

# Time Series in R

How to plot date and time in R. An example of a time series plot with the POSIXct and Sys.Date classes.

Building AI apps or dashboards in R? Deploy them to Dash Enterprise for hyper-scalability and pixel-perfect aesthetic.
10% of the Fortune 500 uses Dash Enterprise to productionize AI & data science apps. Find out if your company is using Dash Enterprise

New to Plotly?

Plotly is a free and open-source graphing library for R. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.

### Dates

library(plotly)
today <- Sys.Date()
tm <- seq(0, 600, by = 10)
x <- today - tm
y <- rnorm(length(x))
fig <- plot_ly(x = ~x, y = ~y, mode = 'lines', text = paste(tm, "days from today"))

fig


### Hiding Weekends and Holidays

The rangebreaks attribute available on x- and y-axes of type date can be used to hide certain time-periods. In the example below, we show two plots: one in default mode to show gaps in the data, and one where we hide weekends and holidays to show an uninterrupted trading history. Note the smaller gaps between the grid lines for December 21 and January 4, where holidays were removed. Check out the reference for more options: https://plotly.com/r/reference/#layout-xaxis-rangebreaks

library(plotly)
fig <- plot_ly(
type = "scatter",
x = as.Date(df$Date, format= "%Y-%m-%d"), y = df$AAPL.High,
name = 'AAPL High',
mode = "markers",
)
fig <- fig %>%
layout(
title = "Time Series with Custom Date-Time Format",
xaxis = list(
type = "date",
range=c('2015-12-01', '2016-01-15')
)
)
fig

library(plotly)
fig <- plot_ly(
type = "scatter",
x = as.Date(df$Date, format= "%Y-%m-%d"), y = df$AAPL.High,
name = 'AAPL High',
mode = "markers",
)
fig <- fig %>%
layout(
title = "Time Series with Custom Date-Time Format",
xaxis = list(
type = "date",
range=c('2015-12-01', '2016-01-15'),
rangebreaks = list(
list(bounds=c("sat", "mon")),
list(values=c("2015-12-25", "2016-01-01"))
)
)
)
fig


### POSIXlt date time class with timezone

library(plotly)
now_lt <- as.POSIXlt(Sys.time(), tz = "GMT")
tm <- seq(0, 600, by = 10)
x <- now_lt - tm
y <- rnorm(length(x))
fig <- plot_ly(x = ~x, y = ~y, mode = 'lines', text = paste(tm, "seconds from now in GMT"))

fig


### POSIXct date time class without timezone

library(plotly)
now_ct <- as.POSIXct(Sys.time())
tm <- seq(0, 600, by = 10)
x <- now_ct - tm
y <- rnorm(length(x))
fig <- plot_ly(x = ~x, y = ~y, mode = 'lines', text = paste(tm, "seconds from now in", Sys.timezone()))

fig


Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.

Learn about how to install Dash for R at https://dashr.plot.ly/installation.

Everywhere in this page that you see fig, you can display the same figure in a Dash for R application by passing it to the figure argument of the Graph component from the built-in dashCoreComponents package like this:

library(plotly)

fig <- plot_ly()
# fig <- fig %>% add_trace( ... )
# fig <- fig %>% layout( ... )

library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)

app <- Dash$new() app$layout(
htmlDiv(
list(
dccGraph(figure=fig)
)
)
) 