.. meta:: :description: Gaitalytics User Guide. :keywords: gaitalytics, gait-analysis, mocap, c3d, gait-metrics, biomechanics, time-series, data-analysis, data, gait, guide, tutorial 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 :func:`gaitalytics.model.BaseTrial.to_hdf5` can be used on the current :class:`gaitalytics.model.Trial` or :class:`gaitalytics.model.TrialCycles`. .. code-block:: python 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. | :class:`gaitalytics.model.Trial` will store the data in a single file, where as :class:`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 :func:`gaitalytics.model.trial_from_hdf5`. .. code-block:: python 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 :func:`gaitalytics.api.export_trial` can be used. .. code-block:: python 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. .. code-block:: python import xarray as xr trial = xr.load_dataarray("./export_trial.nc") segmented_trial = xr.load_dataarray("./export_segmented_trial.nc") ..