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The idea is to simplify the analysis of time series, so I envisage a function/class that takes a trajectory and an analysis function that outputs a float|array for each time step, then dynsight can automatically provided some statistics and plots?
Something like:
compute_and_plot(
trajectory: mda.Universe,
compute_function: Callable,
output_path: pathlib.Patb, # where files are saved.
)
compute_function=function(Universe) ->float
I think these could also be Recipes, which have separate dependencies that allow testing and use things like:
stk and pywindow to monitor structure features of a simulation
The text was updated successfully, but these errors were encountered:
The idea is to simplify the analysis of time series, so I envisage a function/class that takes a trajectory and an analysis function that outputs a
float|array
for each time step, then dynsight can automatically provided some statistics and plots?Something like:
I think these could also be
Recipes
, which have separate dependencies that allow testing and use things like:stk
andpywindow
to monitor structure features of a simulationThe text was updated successfully, but these errors were encountered: