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initial implementation

This commit is contained in:
Sander Roosendaal
2018-08-27 15:27:01 +02:00
parent 5243bb4016
commit d85b9ac7f2
2 changed files with 3 additions and 0 deletions

View File

@@ -871,6 +871,8 @@ def save_workout_database(f2, r, dosmooth=True, workouttype='rower',
# auto smoothing # auto smoothing
pace = row.df[' Stroke500mPace (sec/500m)'].values pace = row.df[' Stroke500mPace (sec/500m)'].values
velo = 500. / pace velo = 500. / pace
if workouttype == 'bikeerg':
velo = 1000. / pace
f = row.df['TimeStamp (sec)'].diff().mean() f = row.df['TimeStamp (sec)'].diff().mean()
if f != 0 and not np.isnan(f): if f != 0 and not np.isnan(f):

View File

@@ -2,6 +2,7 @@ workouttypes = (
('water','Standard Racing Shell'), ('water','Standard Racing Shell'),
('rower','Indoor Rower'), ('rower','Indoor Rower'),
('skierg','Ski Erg'), ('skierg','Ski Erg'),
('bikeerg','Bike Erg'),
('dynamic','Dynamic Indoor Rower'), ('dynamic','Dynamic Indoor Rower'),
('slides','Indoor Rower on Slides'), ('slides','Indoor Rower on Slides'),
('paddle','Paddle Adapter'), ('paddle','Paddle Adapter'),