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Visualize large time series data with plotly.py

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pydantic might be really great to 1. enhance the code readability (now we just type everything as a dict( 2. allow for validation This issue stems from https://github.com/predict-idlab/plotly-resampler/pull/154#discussion_r1148852693

enhancement

#154 added a new hierarchy-based `aggregator` class structure, which requires different down sample implementations Currently, this is resolved by an if-else statement in the `PlotlyAggregatorParser` its `aggregate` method, which is...

Not sure if this is wanted or not but I was playing around with this and would either need to add a lot of `type: ignores` to the existing code...

documentation
enhancement

Also: - [ ] investigate the `no_updates` which are returned - [ ] Verify whether we need to alter the relayout? (Trace updater does not use it (I guess))

Hi, I am making a dashboard where I want to visualize a large timeseries dataset. Currently the user can upload a datafile and plots are generated sorted by physical quantity...

question
examples

**Description** There is an error trying to construct an update patch when the x-axis are dates with a specified timezone. The error is when trying to compare timezones. Pandas pd.to_datetime()...

bug