I’m excited to announce that Plotly.R 184.108.40.20600 is now available for download via
devtools. For up-to-date installation instructions, please see our Getting Started documentation page.
What’s New in Plotly.R 220.127.116.1100
Powered by Plotly.js 1.54, perfect for DashR 0.6.2
We have added new layout
dragmode s for users to be able to draw shapes such as rectangles, lines, open or closed paths etc. These shapes can also be modified or deleted when activated. In particular, this feature should make it easy to annotate images for measuring objects properties or building training sets for neural nets.
library(plotly) df <- diamonds[sample(nrow(diamonds), 1000), ] fig <- plot_ly(df, x = ~carat, y = ~price, text = ~paste("Clarity: ", clarity), mode = "markers", color = ~carat, size = ~carat) fig <- layout(fig, dragmode="drawrect", xaxis = list(title = 'Click and drag inside the figure to draw a rectangle or select another shape in the modebar')) fig <- fig %>% config(modeBarButtonsToAdd = list("drawine", "drawopenpath", "drawclosedpath", "drawcircle", "drawrect", "eraseshape" ) ) fig
Until today, depending on the
hovermode , hovering on data resulted in either one hoverlabel on the closest point to the cursor, or one hoverlabel per point at the same x- or y-coordinate as the cursor. This release introduces two new values for
layout.hovermode , namely
"x unified" and
"y unified" , which results in a single hover label that refers to multiple points at a single X or Y value (on 2D cartesian subplots). Here’s what this looks like:
library(plotly) trace_0 <- rnorm(100, mean = 5) trace_1 <- rnorm(100, mean = 0) trace_2 <- rnorm(100, mean = -5) x <- c(1:100) data <- data.frame(x, trace_0, trace_1, trace_2) fig <- plot_ly(data, x = ~x, y = ~trace_0, name = 'trace 0', type = 'scatter', mode = 'lines') fig <- fig %>% add_trace(y = ~trace_1, name = 'trace 1', mode = 'lines+markers') fig <- fig %>% add_trace(y = ~trace_2, name = 'trace 2', mode = 'markers') fig <- fig %>% layout(hovermode = "x unified") fig
Excluding Weekends and Holidays from Date Axes
A long-requested feature has been to add the ability to remove certain time periods from charts with date axes , for example removing weekends from charts that detail business processes or financial transactions. This is now implemented for
date axes using the new
rangebreaks attribute (but unfortunately does not work with the
scattergl trace type yet).
rangebreaks you can exclude weekends with
bounds=c("sat", "mon") and individual dates with
values=c("2015-12-25", "2016-01-01"). Check out our Time Series and Date Axes documentation page for information on how to use this feature. In the screenshots below you can see the same data plotted without and with rangebreaks. The data is for weekdays only, and has additional gaps on holidays, but these gaps are hidden in the second plot.
This feature was anonymously sponsored and we thank our benefactor on behalf of the community .
Get it now!
To sum up: Plotly.R 18.104.22.16800 is out and if you’re excited about any of the above features, head on over to our Getting Started documentation page for full installation instructions.