如何在python中获得持续时间的平均值

Question

我试图找到答案，但没有任何效果。

这是我的数据框：

Week_summary_df

并且我需要获取每周每个活动的平均值。

这是我的代码：

import pandas as pd

today_df = pd.read_csv('timesheet.csv')
today_df["full start date"] = pd.to_datetime(today_df["Date"] + " " + today_df["Time"])

end_times_list = today_df["Time"].to_list()[1:]
today_df["end time"] = pd.Series(end_times_list)

end_dates_list = today_df["Date"].to_list()[1:]
today_df["end date"] = pd.Series(end_dates_list)

today_df["full end date"] = pd.to_datetime(today_df["end date"] + " " + today_df["end time"])
today_df["Duration:  hh:mm:ss"] = pd.to_timedelta(today_df["full end date"] - today_df["full start date"])
today_df["week"] = today_df["full start date"].dt.week

day_data_df = today_df[["Date", "Action", "Duration:  hh:mm:ss"]]
day_summary_df = day_data_df.groupby(["Date", "Action"]).sum().unstack(level=-1)

today_df["Duration:  hh:mm:ss"]=today_df["Duration:  hh:mm:ss"]
today_df["Duration:  hh:mm:ss"] = pd.to_timedelta(today_df["Duration:  hh:mm:ss"])
week_data_df = today_df[["week", "Action", "Duration:  hh:mm:ss"]]
print(week_data_df)
week_data_df["Duration:  hh:mm:ss"] = pd.to_timedelta(week_data_df["Duration:  hh:mm:ss"])
week_summary_df = week_data_df.groupby(["week", "Action"]).mean()

您知道如何解决吗？

Answer 1

尝试一下：

for col in today_df :
    print(df[col].apply(lambda x: x.seconds).groupby([pd.Grouper(freq='W-MON')]).mean().apply(lambda x: timedelta(seconds=x)))