Question

dRan1 = pd.date_range(start ='1-15-2018', 
           end ='8-1-2018', freq ='M')

上面的代码生成以下系列：

DatetimeIndex(['2018-01-31', '2018-02-28', '2018-03-31', '2018-04-30',
              '2018-05-31', '2018-06-30', '2018-07-31'],
               dtype='datetime64[ns]', freq='M')

但是我想要这个：

DatetimeIndex(['2018-01-15', '2018-01-31', '2018-02-28', '2018-03-31', 
               '2018-04-30','2018-05-31', '2018-06-30', '2018-07-31'],
               dtype='datetime64[ns]', freq='M')

有什么办法吗？

Answer 1

我认为以下是一种解决方案，

from tkinter import messagebox, ttk
from tkinter import *

employees = []

class Employees:

    def __init__(self, n, d, p, r):
        self.n = n
        self.d = d
        self.p = p
        self.r = r


def add():
    n = e1.get()
    d = e2.get()
    p = e3.get()
    r = e4.get()


    employees.append(Employees(n, d, p, r))

    tview.insert('', "end", text=n, values=(d, p, r))
    messagebox.showinfo("Add", "Successfully added")

    e1.delete(0, END)
    e2.delete(0, END)
    e3.delete(0, END)
    e4.delete(0, END)


def delete():
    try:
        selected_item = tview.selection()[0]
        tview.delete(selected_item)
    except IndexError:
        pass


def updatetreeview():
    try:
        selected_item = tview.selection()[0]
        tview.item(selected_item, text=e1.get(), values=(e2.get(), e3.get(), e4.get()))
        print("updated")

        e1.delete(0, END)
        e2.delete(0, END)
        e3.delete(0, END)
        e4.delete(0, END)

    except IndexError:
        messagebox.showerror("Error","Select the row you want to update")



master = Tk()

Label(master, text='Name').grid(row=0)
Label(master, text='Department').grid(row=1)
Label(master, text='Position').grid(row=2)
Label(master, text='Rate').grid(row=3)
tview = ttk.Treeview(master, columns=('Name', 'Position', 'Department','Rate'))
tview.grid(row=7, column=0, columnspan=10)

tview.heading('#0', text="Name")
tview.heading('#1', text="Department")
tview.heading('#2', text="Position")
tview.heading('#3', text="Rate")


e1 = Entry(master, width="30")
e2 = Entry(master, width="30")
e3 = Entry(master, width="30")
e4 = Entry(master, width="30")

e1.grid(row=0, column=1, pady=10)
e2.grid(row=1, column=1, pady=10)
e3.grid(row=2, column=1, pady=10)
e4.grid(row=3, column=1, pady=10)

b1 = Button(master, text="Add", width="25", command=add)
b1.grid(row=4, column=1, pady=10)
b2 = Button(master, text="Update", width="25", command=updatetreeview)
b2.grid(row=5, column=1, pady=10)
b2 = Button(master, text="Delete", width="25", command=delete)
b2.grid(row=6, column=1, pady=10)

mainloop()

Answer 2

可能是一个自定义函数：

from pandas.tseries.offsets import MonthEnd
def myfunc(s,e):
    #check if start date is monthend
    if pd.to_datetime(s).date()==(pd.to_datetime(s)+ MonthEnd(0)).date(): 
        return pd.date_range(s,e, freq ='M') #dont append
    else: #else
        return pd.date_range(s,e, freq ='M').insert(0,pd.to_datetime(s)) #insert the date

测试运行：

myfunc('1-15-2018','8-1-2018')
#DatetimeIndex(['2018-01-15', '2018-01-31', '2018-02-28', '2018-03-31',
#           '2018-04-30', '2018-05-31', '2018-06-30', '2018-07-31'],
#          dtype='datetime64[ns]', freq='M')

myfunc('1-31-2018','8-1-2018')
#DatetimeIndex(['2018-01-31', '2018-02-28', '2018-03-31', '2018-04-30',
#           '2018-05-31', '2018-06-30', '2018-07-31'],
#          dtype='datetime64[ns]', freq='M')

Answer 3

您可以使用insert函数添加第一个日期。

dRan1.insert(0, pd.to_datetime('2018-01-15'))
DatetimeIndex(['2018-01-15', '2018-01-31', '2018-02-28', '2018-03-31',
               '2018-04-30', '2018-05-31', '2018-06-30', '2018-07-31'],
              dtype='datetime64[ns]', freq='M')

但是，您的日期之间的间隔并不均匀，所以请考虑一下是否有用。

熊猫的日期范围，包括系列的开始日期

3 个答案: