First of all I’d like to congratulate you on this amazing library.
I have been using Plotly to build a data monitoring program (time series). I have an issue regarding the xaxis range because, even though I define the range within a fixed set of values, the plotted axis’ range is always bigger, which makes sense in being able to clearly see all the markers. In the context of my application I would like that extra white space to be removed (see red arrows in picture below). I’ve searched in the forums for similar issues and I haven’t found anything helpful.
Since I have data within a variable time frame, I would like the xaxis limits to be coincidental with the first (earliest) and last (latest) points of my data set.
I am aware that setting xaxis range will automatically zoom the graphic and rangeslider to the desired time frame but eventually this will be problematic when I add a rangeselector, since the “all” selector will zoom out of the desired time frame. Double-clicking the plot will also cause the plot to zoom out of the desired time window.
This is the code I am using to obtain the plot (removed the shapes and annotations for simplicity):
# Thresholds alert = 6 critical = 8 min_value = 0 max_value = 10 # Time series time_end <- Sys.time() time_begin <- as.Date("2010-1-1 00:00:00") x <- seq(time_begin, as.Date(time_end), "week") y <- runif(n = length(x), min = 0, max = 10) new_plot <- plot_ly(x = ~x, y = ~y) new_plot<- layout(new_plot, titlefont = list( color = "rgba(0,0,144,1)", size = 16 ), xaxis = list( title = "", rangeslider = list(type = "date"), range = c(as.numeric(as.Date(time_begin))*24*60*60*1000, as.numeric(as.Date(time_end))*24*60*60*1000) ), yaxis = list(title = "", range = c(min_value, max_value), showgrid=TRUE), )