Monotonically time series with resets

I have a time series that increase monotonically that spans an entire day.

During the day this time series is reset.

I would need to get the max value before each reset and the last max value before the end of the day.

I could figure out a function for such task but I’m wondering whether there is something easier or quicker using Flux.

There isn’t anything built into Flux currently that will do what you’re looking for, but it’s something that could be done with Flux:

getResets = (tables=<-) => {
    resets = tables
      |> sort(columns: ["_time"], desc: true)
      |> duplicate(column: "_value", as: "tmp")
      |> difference(columns: ["tmp"])
      |> map(fn: (r) => ({ r with reset: if r.tmp > 0 then true else false }))
      |> filter(fn: (r) => r.reset )
      |> drop(columns: ["reset", "tmp"])
    last = tables |> last()

    return union(tables: [resets, last])
      |> sort(columns: ["_time"])

data |> getResets()