Tag: trajectools

Trajectools 2.4 release

In this new release, you will find new algorithms, default output styles, and other usability improvements, in particular for working with public transport schedules in GTFS format, including:

  • Added GTFS algorithms for extracting stops, fixes #43
  • Added default output styles for GTFS stops and segments c600060
  • Added Trajectory splitting at field value changes 286fdbd
  • Added option to add selected fields to output trajectories layer, fixes #53
  • Improved UI of the split by observation gap algorithm, fixes #36

Note: To use this new version of Trajectools, please upgrade your installation of MovingPandas to >= 0.21.2, e.g. using

import pip; pip.main(['install', '--upgrade', 'movingpandas'])

or

conda install movingpandas==0.21.2

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Trajectools 2.2 released

If you downloaded Trajectools 2.1 and ran into troubles due to the introduced scikit-mobility and gtfs_functions dependencies, please update to Trajectools 2.2.

This new version makes it easier to set up Trajectools since MovingPandas is pip-installable on most systems nowadays and scikit-mobility and gtfs_functions are now truly optional dependencies. If you don’t install them, you simply will not see the extra algorithms they add:

If you encounter any other issues with Trajectools or have questions regarding its usage, please let me know in the Trajectools Discussions on Github.

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