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moving age group records to c2stuff

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This commit is contained in:
Sander Roosendaal
2019-10-23 20:34:16 +02:00
parent 7a26669cd7
commit 8398701320
2 changed files with 65 additions and 62 deletions
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64
rowers/c2stuff.py
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@@ -29,6 +29,70 @@ queue = django_rq.get_queue('default')
queuelow = django_rq.get_queue('low')
queuehigh = django_rq.get_queue('low')
from rowers.utils import myqueue
from rowers.models import C2WorldClassAgePerformance
def getagegrouprecord(age,sex='male',weightcategory='hwt',
distance=2000,duration=None,indf=pd.DataFrame()):
if not indf.empty:
if not duration:
df = indf[indf['distance'] == distance]
else:
duration = 60*int(duration)
df = indf[indf['duration'] == duration]
else:
if not duration:
df = pd.DataFrame(
list(
C2WorldClassAgePerformance.objects.filter(
distance=distance,
sex=sex,
weightcategory=weightcategory
).values()
)
)
else:
duration=60*int(duration)
df = pd.DataFrame(
list(
C2WorldClassAgePerformance.objects.filter(
duration=duration,
sex=sex,
weightcategory=weightcategory
).values()
)
)
if not df.empty:
ages = df['age']
powers = df['power']
#poly_coefficients = np.polyfit(ages,powers,6)
fitfunc = lambda pars, x: np.abs(pars[0])*(1-x/max(120,pars[1]))-np.abs(pars[2])*np.exp(-x/np.abs(pars[3]))+np.abs(pars[4])*(np.sin(np.pi*x/max(50,pars[5])))
errfunc = lambda pars, x,y: fitfunc(pars,x)-y
p0 = [700,120,700,10,100,100]
try:
p1, success = optimize.leastsq(errfunc,p0[:],
args = (ages,powers))
except:
p1 = p0
success = 0
if success:
power = fitfunc(p1, float(age))
#power = np.polyval(poly_coefficients,age)
power = 0.5*(np.abs(power)+power)
else:
power = 0
else:
power = 0
return power
oauth_data = {
'client_id': C2_CLIENT_ID,

63
rowers/metrics.py
View File

@@ -6,7 +6,7 @@ from __future__ import unicode_literals
from __future__ import absolute_import
from rowers.utils import lbstoN
import numpy as np
from rowers.models import C2WorldClassAgePerformance
import pandas as pd
from scipy import optimize
from django.utils import timezone
@@ -397,64 +397,3 @@ def calc_trimp(df,sex,hrmax,hrmin,hrftp):
return trimp,hrtss
def getagegrouprecord(age,sex='male',weightcategory='hwt',
distance=2000,duration=None,indf=pd.DataFrame()):
if not indf.empty:
if not duration:
df = indf[indf['distance'] == distance]
else:
duration = 60*int(duration)
df = indf[indf['duration'] == duration]
else:
if not duration:
df = pd.DataFrame(
list(
C2WorldClassAgePerformance.objects.filter(
distance=distance,
sex=sex,
weightcategory=weightcategory
).values()
)
)
else:
duration=60*int(duration)
df = pd.DataFrame(
list(
C2WorldClassAgePerformance.objects.filter(
duration=duration,
sex=sex,
weightcategory=weightcategory
).values()
)
)
if not df.empty:
ages = df['age']
powers = df['power']
#poly_coefficients = np.polyfit(ages,powers,6)
fitfunc = lambda pars, x: np.abs(pars[0])*(1-x/max(120,pars[1]))-np.abs(pars[2])*np.exp(-x/np.abs(pars[3]))+np.abs(pars[4])*(np.sin(np.pi*x/max(50,pars[5])))
errfunc = lambda pars, x,y: fitfunc(pars,x)-y
p0 = [700,120,700,10,100,100]
try:
p1, success = optimize.leastsq(errfunc,p0[:],
args = (ages,powers))
except:
p1 = p0
success = 0
if success:
power = fitfunc(p1, float(age))
#power = np.polyval(poly_coefficients,age)
power = 0.5*(np.abs(power)+power)
else:
power = 0
else:
power = 0
return power