从 datetime 中删除时间并使用 Python 插入到 db 表中

Question

在提出问题之前，我尝试了不同的方法，但都没有奏效。

我尝试使用 datetime.strptime 和 dateutil，但都没有工作，或者我做错了。 我什至尝试将日期拆分为 y、m、d 变量并更改为整数，然后尝试将所有 3 个变量加在一起以获得完整的日期变量。

我需要如何更新日期部分的编码，以便我可以从第二个/第三个/等读取和插入值。没有错误的列？

我在 Excel 日期和更改为 postgres 日期时遇到问题。 （Excel 中的日期字段有日期和时间。我只需要日期部分。）我正在使用 xlrd 读取日期列并将日期更改为我需要并插入的日期，但是一旦我添加另一列来读取和插入，我收到代码问题。

import psycopg2
import xlrd
import datetime
#Tried from datetime import datetime


try:
    conn = psycopg2.connect(user = '', password = '', host =’’, database =’’, port = 0000)
    mycursor = conn.cursor()
    print('DB connection open')
    print('Running SQL query')

    #Open the excel
    book = xlrd.open_workbook('name.xlsx')

    #Open the workbook sheet
    sheet = book.sheet_by_name('Date')

    query = """INSERT INTO table_name(
    date,
    second_column
    )

    VALUES(
    %s,
    %s)"""

    for r in range(1, sheet.nrows):
        db_date = year_date = []
        date = sheet.cell(r, 0).value

        #Changing Excel date from m/d/y to y-m-d
        date_mode = datetime.datetime(*xlrd.xldate_as_tuple(review_date, book.datemode))
        start_date_full = date_mode
        split_start_date_full = str(start_date_full)

        #Splitting date to remove the time portion
        split_start_date_full = split_start_date_full.split(" ")

        #Adding the date to a list
        year_date = split_start_date_full[0]
        db_date.append((year_date))
        #Assign values to each row
        values = (
            db_date,
            second_column
            )
        mycursor.execute(query, values)


    #Commit to the DB. Close the mycursor and conn.
    mycursor.close()
    conn.commit()
    conn.close()
    print('''All done!''')

except Exception as e:
    #making sure cursor and conn is closed if I hit the except
    mycursor.close()
    conn.close()
    print(e)

错误/结果： 如果我只调用日期列，插入没问题 第二个日期值只是 postgres db 表中的一个日期列，它根据插入行的时间插入日期。

>>>
================================ RESTART ================================
>>>
DB connection open
Running SQL query
(9616, datetime.date(2017, 12, 6), None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, datetime.date(2018, 1, 4))
All done!

I receive text error when I call a second/third/etc. columns
>>>
================================ RESTART ================================
>>>
DB connection open
Running SQL query
column "review_date" is of type date but expression is of type text[]
LINE 6:     ARRAY['2017-12-06'],
            ^
HINT:  You will need to rewrite or cast the expression.
>>> 

Answer 1

我采取的步骤：

1. 我将 year_date 拆分并放入 year_date_full 变量中。

2. 我为年月日创建了一个变量，变成了int的full_date

3. 然后我将year+-+month+-+day组合成自己的变量，并将该变量称为需要插入db表的值。

---

for r in range(1, sheet.nrows):
    db_date = year_date = []
    #Date Column A
    date = sheet.cell(r, 0).value
    date_mode = datetime.datetime(*xlrd.xldate_as_tuple(review_date, book.datemode))
    start_date_full = date_mode
    split_start_date_full = str(start_date_full)
    split_start_date_full = split_start_date_full.split(" ")
    year_date = split_start_date_full[0]
    time_date = split_start_date_full[1]
    #Split year_date '-' and put each section into its own variable
    year_date_full = year_date.split('-')
    start_year = year_date_full[0]
    start_month = year_date_full[1]
    start_day = year_date_full[2]
    #Turn str to a int for year, month, day
    full_date = (int(start_year),int(start_month),int(start_day))
    #created a new variable to hold the full year and '-'
    full_date_new = (start_year+'-'+start_month+'-'+start_day)
    #Second Column - Column B
    second_column = sheet.cell(r, 1).value

插入结果：

>>> ================================ RESTART ================================
>>> 
DB connection open
Running SQL query
(12621, **datetime.date(2017, 12, 6)**, None, None, None, None, None, None, None, None, None, None, None, None, **False**, None, None, datetime.date(2018, 1, 5))
All done!
>>>