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show register_plotly_resampler + pd.options.plotting.backend = 'plotly'
show how add_traces can be used
show how add_trace and add_traces can be used with dict_input
to discuss: maybe also add the hack that when the trace type is not specified with a dict input, that we assume a scattergl will be used; instead of the default scatter behavior.
The text was updated successfully, but these errors were encountered:
adjusting the basic_example.ipynb
There, you could
add composability section: where we highlight how to change the FigureResampler <-> FigureWidgetResampler
addjust some traces into dicts
maybe use the add_traces function
Adding a new register_plotly_resampler.ipynb
Where you use the register_plotly_resampler function together with the pandas plotly back-end to visualize some series
Also highlight the unsregister... function + additional keyword arguments that can be fed to this function (e.g., default_n_shown_samples, default_downsampler)
Main points:
register_plotly_resampler
/unregister_plotly_resampler
register_plotly_resampler
+pd.options.plotting.backend
= 'plotly'add_traces
can be usedadd_trace
andadd_traces
can be used with dict_inputto discuss: maybe also add the hack that when the trace type is not specified with a dict input, that we assume a scattergl will be used; instead of the default scatter behavior.
The text was updated successfully, but these errors were encountered: