fixed a bug in rScore calculation
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@@ -580,22 +580,34 @@ def handle_calctrimp(id,
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df = rowdata.df
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df['deltat'] = df[' ElapsedTime (sec)'].diff().abs()
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duration = df['TimeStamp (sec)'].max()-df['TimeStamp (sec)'].min()
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df[' Power (watts)'] = df[' Power (watts)'].abs()
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df2 = df.copy()
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df['pwr4'] = df[' Power (watts)']**(4.0)
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pwr4mean = wavg(df,'pwr4','deltat')
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pwrmean = wavg(df,' Power (watts)','deltat')
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df2['time'] = df2[' ElapsedTime (sec)']
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df2['time'] = df2['time'].apply(
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lambda x:timedelta(seconds=x)
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)
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duration = df['TimeStamp (sec)'].max()-df['TimeStamp (sec)'].min()
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df2 = df2.resample('30s',on='time').mean()
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df2[' Power (watts)'] = df2[' Power (watts)'].abs()
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df2['pwr4'] = df2[' Power (watts)']**(4.0)
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# pwr4mean = wavg(df,'pwr4','deltat')
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pwr4mean = df2['pwr4'].mean()
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pwrmean = df2[' Power (watts)'].mean()
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# pwrmean = wavg(df,' Power (watts)','deltat')
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if pwr4mean > 0:
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normp = (pwr4mean)**(0.25)
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else:
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normp = pwrmean
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intensityfactor = pwrmean/float(ftp)
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intensityfactor = normp/float(ftp)
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tss = 100.*((duration*normp*intensityfactor)/(3600.*ftp))
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if sex == 'male':
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f = 1.92
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else:
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