Data export

Gaitalytics provides two ways export and store the data into a file system.

Model export

If the data should be exported to later usage with gaitalytics the function gaitalytics.model.BaseTrial.to_hdf5() can be used on the current gaitalytics.model.Trial or gaitalytics.model.TrialCycles.

from gaitalytics import api

config = api.load_config("./config.yaml")
trial = api.load_c3d_trial("./example_with_events.c3d", config)
trial.to_hdf5("./export_trial.h5")

segmented_trial = api.segment_trial(trial)
segmented_trial.to_hdf5("./export_segmented_trial.h5")

Depending on the object class the function will store the data in a different way.

gaitalytics.model.Trial will store the data in a single file, where as gaitalytics.model.TrialCycles will store the data in multiple files (one file per gait cycle).

The data can be loaded again with the static function gaitalytics.model.trial_from_hdf5().

from gaitalytics import api, model

trial = model.trial_from_hdf5("./export_trial.h5")
segmented_trial = model.trial_from_hdf5("./export_segmented_trial.h5")

Data export

If data should be used outside of gaitalytics the function gaitalytics.api.export_trial() can be used.

from gaitalytics import api

config = api.load_config("./config.yaml")
trial = api.load_c3d_trial("./example_with_events.c3d", config)
api.export_trial(trial, "./export_trial.nc")

segmented_trial = api.segment_trial(trial)
api.export_trial(segmented_trial, "./export_segmented_trial.nc")

The function will store the data in a netCDF file and can easily be loaded with the load_dataarray function.

import xarray as xr

trial = xr.load_dataarray("./export_trial.nc")
segmented_trial = xr.load_dataarray("./export_segmented_trial.nc")