Question

我试图找到答案，但是没有任何效果。

这是我的数据框：

我需要获取每周每项活动的平均值。

这是我的代码：

from tkinter import *
from datetime import datetime, date
import csv
import pandas as pd

main_window = Tk()
main_window.title('')

def button_bau():
    current_date = date.today()
    now = datetime.now()
    current_time = now.strftime("%H:%M:%S")
    comment = entry_comment.get()

    data = {'Date': current_date, 'Time': current_time, 'Action': 'BAU', 'Comment': comment}
    with open('timesheet.csv', 'a') as csvFile:
        writer = csv.DictWriter(csvFile, data.keys())
        if csvFile.tell() == 0:
            writer.writeheader()
        writer.writerow(data)
        print(data)
    entry_comment.delete(0, END)

def button_training():
    current_date = date.today()
    now = datetime.now()
    current_time = now.strftime("%H:%M:%S")
    comment = entry_comment.get()

    data = {'Date': current_date, 'Time': current_time, 'Action': 'Training', 'Comment': comment}
    with open('timesheet.csv', 'a') as csvFile:
        writer = csv.DictWriter(csvFile, data.keys())
        if csvFile.tell() == 0:
            writer.writeheader()
        writer.writerow(data)
        print(data)
    entry_comment.delete(0, END)

def button_meeting():
    current_date = date.today()
    now = datetime.now()
    current_time = now.strftime("%H:%M:%S")
    comment = entry_comment.get()


    data = {'Date': current_date, 'Time': current_time, 'Action': 'Meeting', 'Comment': comment}
    with open('timesheet.csv', 'a') as csvFile:
        writer = csv.DictWriter(csvFile, data.keys())
        if csvFile.tell() == 0:
            writer.writeheader()
        writer.writerow(data)
        print(data)
    entry_comment.delete(0, END)

def button_break():
    current_date = date.today()
    now = datetime.now()
    current_time = now.strftime("%H:%M:%S")
    comment = entry_comment.get()

    data = {'Date': current_date, 'Time': current_time, 'Action': 'Break', 'Comment': comment}
    with open('timesheet.csv', 'a') as csvFile:
        writer = csv.DictWriter(csvFile, data.keys())
        if csvFile.tell() == 0:
            writer.writeheader()
        writer.writerow(data)
        print(data)
    entry_comment.delete(0, END)

def button_comment():
    current_date = date.today()
    now = datetime.now()
    current_time = now.strftime("%H:%M:%S")
    comment = entry_comment.get()

    data = {'Date': current_date, 'Time': current_time, 'Action': 'EOD', 'Comment': comment}
    with open('timesheet.csv', 'a') as csvFile:
        writer = csv.DictWriter(csvFile, data.keys())
        if csvFile.tell() == 0:
            writer.writeheader()
        writer.writerow(data)
        print(data)
    entry_comment.delete(0, END)

def myFormatString(bigString):
    return bigString.replace("0 days ", "").replace(".000000000", "")

def export_to_excel():

    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().astype(str).applymap(myFormatString).unstack(level=-1)

    today_df["Duration:  hh:mm:ss"]=today_df["Duration:  hh:mm:ss"]
    week_data_df = today_df[["week", "Action", "Duration:  hh:mm:ss"]]
    week_summary_df = week_data_df.groupby(["week", "Action"]).sum().astype(str).applymap(myFormatString).unstack(level=-1)

    print(week_summary_df)

    excel_filename = 'timesheet.xlsx'
    writer = pd.ExcelWriter(excel_filename, engine='xlsxwriter',
                        datetime_format='hh:mm:ss')

    day_summary_df.drop(day_summary_df.columns[2], axis=1, inplace=True)
    day_summary_df.to_excel(excel_filename)
    day_summary_df.to_excel(writer, sheet_name='Daily Summary')

    week_summary_df.drop(week_summary_df.columns[2], axis=1, inplace=True)
    week_summary_df.to_excel(excel_filename)
    week_summary_df.to_excel(writer, sheet_name='Weekly Summary')

    writer.save()

l1 = Label(main_window, text='Timesheet Collector')
l1.grid(row=0, column=1, pady=5)

b1 = Button(main_window, text='BAU', width=8, bg='#CC8899', command=button_bau)
b1.grid(row=1, column=1, pady= 5, padx=60)

b2 = Button(main_window, text='Training', width=8, bg='#CC8899', command=button_training)
b2.grid(row=2, column=1, pady=5, padx=60)

b3 = Button(main_window, text="Meeting", width=8, bg='#CC8899', command=button_meeting)
b3.grid(row=3, column=1, pady=5, padx=60)

b4 = Button(main_window, text="Break", width=8, bg='#CC8899', command=button_break)
b4.grid(row=4, column=1, pady=5, padx=60)

b5 = Button(main_window, text="EOD", width=8, bg='#E0115F', command=button_comment)
b5.grid(row=5, column=1, pady=5, padx=60)

entry_comment = Entry(main_window, width=25)
entry_comment.grid(row= 6, column=1, pady=10)

b6 = Button(main_window, text="Export to Excel", width=11, bg='#C0C0C0', command=export_to_excel)
b6.grid(row=7, column=1, pady=5, padx=60)

main_window.mainloop()

您是否知道如何解决？

请注意，我是一个完整的初学者，我接到了创建工具的任务，该工具将收集有关白天分析师活动的信息。并且此工具需要首先将信息收集到csv，然后导出为excel两种信息： 1.当天所有活动的总和-我能够管理 2.一周中每个活动的平均持续时间-例如：分析师X在一周中达到30分钟的平均值

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)))

如何在python中获得持续时间的平均值

1 个答案: