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Filters now use pandas to keep track of filter components and switches.
Quality of life improvements using pandas DataFrames to display filter status
Improvements to the calculation of rolling statistics. Can choose justification window relative to data position, and rolling gradient calculation now handles nans better (excludes them).
Improvements to gradient_threshold filters. Can now set absolute_gradient=False to select 'up' or 'down' components separately. gplot now shows the effect of filters directly, similar to tplot.