Releases: GoldenCheetah/sweatpy
Releases · GoldenCheetah/sweatpy
0.25.0
0.24.0
[0.24.0] - 2021-12-16
Added
- Adds processing of resting heartrate to athlete model from FIT files.
Fixed
- Adds fixes for processing age and heigh to athlete model from FIT files.
0.23.2
[0.23.2] - 2021-12-13
Fixed
- Fixes parsing the activity_class attribute on the athlete model returned by
read_fit(metadata=True)
. It should now handle all possible values.
0.23.1
[0.23.1] - 2021-11-11
Fixed
- Some FIT files contain records with duplicate field names of which only 1 was not null. Added code to make sure that the non null value was picked.
0.23.0
[0.23.0] - 2021-11-01
Changed
- Updated dependency versions. Most notable is scikit-learn to ">= 0.23.1".
Deprecated
- Python 3.6 support will be dropped in a next release as it is nearing EOL and some dependencies like scikit-learn already do not support it in their latest releases.
0.22.1
[0.22.1] - 2021-10-19
Fixed
- Relax Athlete model validation because it raised errors for some FIT files.
0.22.0
[0.22.0] - 2021-10-19
Added
- When
metadata=True
is passed tosweat.read_fit()
the response now includes an "athlete" key that contains an Athlete model with information about the athlete.
Fixed
- Suunto hrv samples that consist of only 1 value are now properly handled and do not raise a TypeError anymore.
0.21.0
[0.21.0] - 2021-04-22
Added
- Adds testing for Python 3.10
read_tcx()
now supports a metadata=True kwarg that will return device data.
0.20.3
[0.20.3] - 2021-04-20
Fixed
sweat.read_fit()
now supports integer column names.
0.20.2
[0.20.2] - 2021-04-16
Fixed
read_fit()
now handles summary data correctly when there is no data