DITE_swimming

Analysis of swimming time series data

Prerequisits

Package	Version
numpy	1.15.3
pandas	0.23.4
python-dateutil	2.7.3
pytz	2018.5
six	1.11.0
xlrd	1.1.0

Pre-processing

pre_processing.load_raw_spreadsheet

Verifies that spreadsheet is in exactly the expected format, otherwise raises AssertionError. Returns series, a dictionary containing the elapsed time (in seconds), the 12 dimensional sensor data, one classification target and one event target per row.

import pre_processing
series = pre_processing.load_raw_spreadsheet(filepath)
series.keys()

dict_keys(['subject_cat', 'stroke_phase_def', 'true_time', 'elapsed_time', 'swim_class_def', 'stroke_phase', 'sensor_vals', 'cols', 'swim_class'])