By default, Matplotlib uses a floating point representation of time in days since the epoch, so plotting data with microsecond time resolution does not work well for dates that are far (about 70 years) from the epoch (check with :None:None:`~.dates.get_epoch`
).
If you want sub-microsecond resolution time plots, it is strongly recommended to use floating point seconds, not datetime-like time representation.
If you really must use datetime.datetime() or similar and still need microsecond precision, change the time origin via :None:None:`.dates.set_epoch`
to something closer to the dates being plotted. See :None:doc:`/gallery/ticks/date_precision_and_epochs`
.
Make ticks on regular intervals of one or more microsecond(s).
The following pages refer to to this document either explicitly or contain code examples using this.
matplotlib.dates
Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them