Spool Visualisation #672
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I think these could be quite useful. All of the visualizations would be based on the dataframe of the spool contents (created with For plotting gaps, I have been meaning to add a The tests for these functions would go in the corresponding test files, (tests/test_utils/test_pd.py and tests/test_core/test_spool). In each case, make a new test class named after the function name. For the visualizations, I think making a viz/spool.py module would be a good option. |
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A spool is a great source of information. Notably for data-availability and acquisition parameters.
Spool.viz... returns currently a "not implemented" type of error
I suggest to implement basic plotting of data evolution. Two parameters should be straight forward
Show data-gaps (i.e. instrument downtime); This assumes that all manufacturers have their own characteristic file duration. Not sure if Sintella ProtoBuf is possible, but that can be seen later
Sampling rate: See if and when acquisition parameters were changed.
Furthermore, adding gaugelength to the spool would allow to also plot that parameter evolution.
Here is a vizualisation of a recent dataset (boring for sampling rate, but you should get the idea)

Questions:
Is this considered useful by others?
Where would be a logical place to put such code?
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