cycling stats

cycling-stats - 根據功率和/或心率數據計算高級騎行統計數據

根據心率和功率計計算統計數據，例如在個人化心率和功率區域花費的時間、標準化功率、強度因子、訓練壓力分數、變異指數、效率因子、慢性訓練負荷、急性訓練負荷和訓練壓力平衡。

安裝

該軟體包在 pypi 下可用：

 pip install cycling-stats

用法

您可以如下使用該套件。一個簡單的範例：您可以匯入函數training_stress_score ，如下所示。

 from cyclingstats . stats import training_stress_score

該包要求您將資料保存在pandas.DataFrame中。以下範例說明了您擁有來自多個單獨訓練課程的時間序列，並且您希望單獨計算每天騎乘的統計資料。

 import pandas as pd
from cyclingstats . stats import calc_hr_zones , calc_power_zones , agg_zones , agg_power 
from cyclingstats . stats import chronic_training_load , acute_training_load , training_stress_balance

# read time series of power and/or heart rate
df = pd . read_csv ( "PATH_TO_YOUR_HEARTRATE_AND_POWER_DATA" )
df [ 'date' ] = pd . to_datetime ( df [ 'timestamp' ]. dt . date )
# perform any other preprocessing steps here

# ---------- zones
# define LTHR and FTP to calculate custom Coggan heart rate and power zones
LTHR = # TODO: fill in a number for the lactate threshold heart rate [bpm]
FTP = # TODO: fill in a number for the functional threshold power [W]

hr_zones = calc_hr_zones ( LTHR )
power_zones = calc_power_zones ( FTP )

# calculate hr and power zones
df_zones = df . groupby ( 'date' ). apply ( agg_zones , hr_zones = hr_zones , power_zones = power_zones )

# ---------- power
df = df . set_index ( 'timestamp' )

# calculate power statistics
df_power = df . groupby ( 'date' ). apply ( agg_power , FTP = FTP )

# fill up dates for which we don't have an entry to get exponential weighted mean (ewm)
dates = df_power . index
df_power = df_power . reindex ( date_range )

# calculate ctl, atl and tsb
df_power [ 'chronic_training_load' ] = chronic_training_load ( df_power [ 'training_stress_score' ])
df_power [ 'acute_training_load' ] = acute_training_load ( df_power [ 'training_stress_score' ])
df_power [ 'training_stress_balance' ] = training_stress_balance ( df_power [ 'chronic_training_load' ], df_power [ 'acute_training_load' ])

# get back to indices for which there is a training session
df_power = df_power . loc [ dates ]

如果您遇到問題，歡迎聯絡作者（[email protected]）。

執照

程式碼版權所有 © E. van Weenen, 2022，可根據軟體隨附的 MIT 授權使用。

除了本許可證施加的法律限制之外，如果您將此軟體用於學術出版物，則您有義務提供適當的歸屬。

 E. van Weenen. cycling-stats: Calculate advanced cycling statistics from power and/or heart rate data, v0.1 (2022). github.com/evavanweenen/cycling-stats.