Thread through a way to perform custom summary stat calculations other than those generated by Pandas' describe() method in the headways computation step of UA.
This is currently in headways.py in the gtfs dir.
Proposal:
After the results[unique_stop_route] = pd.Series(adjusted_time_diff).describe() is applied on a grouped set, go ahead and run a custom method (which could just be selecting, say, the mean result value).
This will return all the describe columns as well as a new column which is selected_result or whatever. So, downstream _add_headway_impedance would not need a parameter for which headway to use, it could simply opt to rely on selected_result column.
Idea:
Thread through a way to perform custom summary stat calculations other than those generated by Pandas'
describe()method in the headways computation step of UA.This is currently in
headways.pyin thegtfsdir.Proposal: After the
results[unique_stop_route] = pd.Series(adjusted_time_diff).describe()is applied on a grouped set, go ahead and run a custom method (which could just be selecting, say, themeanresult value).This will return all the describe columns as well as a new column which is
selected_resultor whatever. So, downstream_add_headway_impedancewould not need a parameter for which headway to use, it could simply opt to rely onselected_resultcolumn.