Luca Pappalardo
Luca Pappalardo
The memory used by the simulation may depend on the size of the spatial tessellation. Consider that, as explained in #59, the simulation relies on an origin-destination matrix the size...
it seems that only the parameters of one of the TrajDataFrames are preserved. ``` tdf = skmob.TrajDataFrame(pd.DataFrame([])) tdf.parameters['prova'] = 'stoca' print('tdf', tdf.parameters) tdf1 = skmob.TrajDataFrame.from_file('https://github.com/scikit-mobility/scikit-mobility/files/5667132/geolife_data.zip', usecols=[1,2,3,4]) tdf1['attribute'] = 'attr' print('tdf1',...
@gbarlacchi what is the proper name do you suggest? Could `clustering.cluster_points` be reasonable?
This issue is the same as #110
Hi @vlingenfelter, thanks for the comment. We agree that this would be a nice enhancement. How would you implement it? If you are available to make a pull request on...
@gbarlacchi I implemented this functionality. Please check.
This issue is related to issue #88 .
@FilippoSimini, maybe a better solution could be to put in the index of the new TrajDataFrame generated from the preprocessing operation the values of the index in the original TrajDataFrame.
Hi @gegen07, This problem is too specific to be added as a feature in the library. We suggest doing as follows: - compute the waiting times and the jump lengths...
Duplicate of #88.