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Python tools to process workout data and telemetry for metrics and machine learning

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In the example file test_dataset_1.tcx there are three Lap segments, the parser only iterates over one element instead of all. ``` for laps in self.activity.Lap:

I'm doing exactly like the example on README: ```python import dask.dataframe as dd from dask import delayed tcx1 = delayed(tcxtools.TCXPandas('workout_1.tcx').parse()) # Delay these calculations tcx2 = delayed(tcxtools.TCXPandas('workout_2.tcx').parse()) # Use as...

Workouts with the "swim" activity type do not parse correctly.