Question

我有这个excel文件：

declare 
    StartDateTime date := timestamp '2017-01-01 00:00:00';
    EndDateTime   date := timestamp '2017-12-31 23:59:59';
begin
    -- do something here
    dbms_output.put_line(StartDateTime);
    dbms_output.put_line(EndDateTime);
end;

我使用以下python脚本将其转换为csv文件：

import random
randomIndex = random.randint(0, len(diceList) - 1)
randomDice = diceList[randomIndex]

这是输出：

DB      client_id    client_name   Joining Date
13542   0021I156    Loyiso Dwala   2013-04-05
13077   0043E03     Attwell Fayo   2013-04-06
13155   0023G025    David Mbhele   2013-04-07

如您所见，client_id列已将import xlrd import csv from datetime import datetime with xlrd.open_workbook('myexcelfile.xlsm') as wb: data = wb.sheet_by_index(2) column_date = 5 with open('mycsvfile.csv', 'wb') as f: c = csv.writer(f) c.writerow(data.row_values(6)) for r in range(7,data.nrows): year, month, day, hour, minute, sec = xlrd.xldate_as_tuple(int(data.row_values(r)[column_date]), wb.datemode) #unpack all values here, not just year, month, day py_date = datetime(year, month, day) py_date_2 = py_date.date() c.writerow(data.row_values(r)[:5]+[py_date_2] + data.row_values(r)[6:])转换为DB client_id client_name Joining Date 13542 0021I156 Loyiso Dwala 2013-04-05 13077 4.30E+38 Attwell Fayo 2013-04-06 <-- 13155 0023G025 David Mbhele 2013-04-07。通过研究这一点，我意识到我必须对格式化做一些事情，即：

0043E03

但是如何在使用csv writer时专门为client_id列执行此操作？

使用python csv writerow时避免使用科学记数法

0 个答案: