Question

我的python代码用于从.csv文件中获取数据并将其转换并保存到.ods文件中。问题是当它保存到新文件时，它会删除保存到的文件中的其他工作表。如何在不删除其他工作表的情况下更新新文件？

import csv, shutil, os, glob
from pyexcel_ods3 import save_data
from collections import OrderedDict

# finds the latest file from my downloads folder
newest = max(glob.iglob('*.csv'), key=os.path.getctime)

my_file = open(newest)
file_reader = csv.reader(my_file)
file_data = list(file_reader)

# identifies the data structure
file_header = ['Details', 'Posting Date', 'Description', 'Amount', 'Type', 'Balance', 'Check or Slip #']

# compares the data structure in the csv file to the one used for this script
if file_data[0] == file_header:
    del file_data[0] # removes the header form the csv file
    date = file_data[0][1]
    f_date = date.split('/')
    f_date_formatted = '{}-{}-{}'.format(f_date[2], f_date[0], f_date[1])
    for i in file_data: # organizes the data
        i[4] = ''
        transaction = float(i[3])
        if transaction > 0:
            i[3] = ''
            i[4] = transaction
    my_file.close()

    # creates a copy of the unpopulated file.  This file has 3 existing sheets.  One sheet is called 'DATA'
    shutil.copy('Checkbook Monthly balance.ods', 'Checkbook Monthly balance thru {}.ods'.format(f_date_formatted))

    # populates the sheet called 'DATA'
    data = OrderedDict()
    data.update({'DATA': file_data})
    save_data('Checkbook Monthly balance thru {}.ods'.format(f_date_formatted), data)

else:
    print('It appears the bank changed the table format.  Check the .csv file for a difference in the data structure.')
    my_file.close()

Answer 1

由于旧文件已被覆盖，以前的数据已被删除。

为了保留现有数据，您需要通过＆＃39; get_data(..)＆＃39;重新读取数据，然后附加内容，并将所有数据保存回来。

如何在不破坏文件中的其他工作表的情况下在ods文件中创建/填充工作表？

1 个答案: