enable plotting vs time on 23 and 25 hour days

I'm trying to find a way to plot values over time on 23 and 25 hour days for daylight savings time (DST). Below is my example code that illustrates the problem, and the two resulting plots. The time stamps in x_23 and x_25 are all one hour apart. They reflect the "US/Pacific" time zone. In the spring forward case, I would expect to see twenty-three hours along the x-axis. And, in fall back, twenty-five. But, both times plotly shows 24. In spring forward, there is a visual gap in the spacing of the second and third markers. And, in fall back, there is a visual overlap.

A suggested approach would be to allow the programmer to optionally assign a time zone to the x-axis. In my case, I would assign US/Pacific. Then, plotly knows to adjust for DST if applicable. Might also want to allow assignment of a 'local' time zone. In that case, plotly would get the timezone from the computer on which it's running. If the programmer makes no assignment, plotly's behavior remains as is. Nobody's code gets broken.

A similar alternative would be to allow the programmer to set a flag to true if they want the behavior that is aware of DST. A value of false would keep the current behavior. Again, nobody's code gets broken.

I found two similar issues, but neither was really addressed.

https://github.com/plotly/plotly.js/issues/171
https://github.com/plotly/plotly.js/issues/4358

import plotly.graph_objects as go

# Spring Forward
x_23 = ["2001-04-01T00:00:00-08:00", "2001-04-01T01:00:00-08:00", "2001-04-01T03:00:00-07:00",
        "2001-04-01T04:00:00-07:00", "2001-04-01T05:00:00-07:00", "2001-04-01T06:00:00-07:00",
        "2001-04-01T07:00:00-07:00", "2001-04-01T08:00:00-07:00", "2001-04-01T09:00:00-07:00",
        "2001-04-01T10:00:00-07:00", "2001-04-01T11:00:00-07:00", "2001-04-01T12:00:00-07:00",
        "2001-04-01T13:00:00-07:00", "2001-04-01T14:00:00-07:00", "2001-04-01T15:00:00-07:00",
        "2001-04-01T16:00:00-07:00", "2001-04-01T17:00:00-07:00", "2001-04-01T18:00:00-07:00",
        "2001-04-01T19:00:00-07:00", "2001-04-01T20:00:00-07:00", "2001-04-01T21:00:00-07:00",
        "2001-04-01T22:00:00-07:00", "2001-04-01T23:00:00-07:00", "2001-04-02T00:00:00-07:00"]
y_23 = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]
fig_23 = go.Figure(data=[go.Scatter(x=x_23, y=y_23, mode="lines+markers")])
fig_23.update_layout(title="Spring Forward")
fig_23.show()

# Fall Back
x_25 = ["2001-10-28T00:00:00-07:00", "2001-10-28T01:00:00-07:00", "2001-10-28T01:00:00-08:00",
        "2001-10-28T02:00:00-08:00", "2001-10-28T03:00:00-08:00", "2001-10-28T04:00:00-08:00",
        "2001-10-28T05:00:00-08:00", "2001-10-28T06:00:00-08:00", "2001-10-28T07:00:00-08:00",
        "2001-10-28T08:00:00-08:00", "2001-10-28T09:00:00-08:00", "2001-10-28T10:00:00-08:00",
        "2001-10-28T11:00:00-08:00", "2001-10-28T12:00:00-08:00", "2001-10-28T13:00:00-08:00",
        "2001-10-28T14:00:00-08:00", "2001-10-28T15:00:00-08:00", "2001-10-28T16:00:00-08:00",
        "2001-10-28T17:00:00-08:00", "2001-10-28T18:00:00-08:00", "2001-10-28T19:00:00-08:00",
        "2001-10-28T20:00:00-08:00", "2001-10-28T21:00:00-08:00", "2001-10-28T22:00:00-08:00",
        "2001-10-28T23:00:00-08:00", "2001-10-29T00:00:00-08:00"]
y_25 = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25]
fig_25 = go.Figure(data=[go.Scatter(x=x_25, y=y_25, mode="lines+markers")])
fig_25.update_layout(title="Fall Back")
fig_25.show()

Commencez par reproduire les exemples de passage à l’heure d’été et de retour à l’heure standard dans l’issue, puis comparez l’espacement tracé aux chronologies attendues de 23 et 25 heures. Consultez les issues associées #171 et #4358 avant de déterminer la portée. La tâche est terminée lorsque le comportement de tracé prenant en charge DST demandé par l’issue est pris en charge, sans modifier le comportement lorsqu’aucun fuseau horaire ni flag n’est fourni.