无法使用pd.xlsxwriter解锁具有自定义值的单元格

Question

我有一个数据框，如下面的代码所示。我只想锁定页眉（第一行），然后让用户更改其余单元格。根据下面的代码，它确实锁定了标题，并使我能够更改“日期”列以外的所有列的值。我无法更改日期列的值。它也应该允许我更改日期列的值

import pandas as pd


df = pd.DataFrame({'Data1': [10, 20, 30],
                   'Data2': [11, 21, 31],
                   'Date': ["", 
                            "", 
                            pd.to_datetime('today')]})

writer = pd.ExcelWriter('pandas_filter.xlsx', engine='xlsxwriter', )

df.to_excel(writer, sheet_name='Sheet1', index=False)

workbook  = writer.book
worksheet = writer.sheets['Sheet1']

unlocked = workbook.add_format({'locked': False})
locked   = workbook.add_format({'locked': True})
worksheet.protect()
for row in range(1, 150):
    worksheet.set_row(row, None, unlocked)

writer.save()

Answer 1

在XlsxWriter中，单元格格式将覆盖行格式，而行格式将覆盖列格式。

日期时间单元格未解锁的原因是由于Pandas对这些单元格应用了单元格格式（对于日期格式），因此行格式被忽略/覆盖。

避免这种情况的唯一方法是与其他数据框数据分开写入（或覆盖）日期单元格数据，并应用未锁定的日期格式。像这样：

import pandas as pd

df = pd.DataFrame({'Data1': [10, 20, 30],
                   'Data2': [11, 21, 31],
                   'Date': [pd.to_datetime('today'), 
                            pd.to_datetime('today'), 
                            pd.to_datetime('today')]})

writer = pd.ExcelWriter('pandas_filter.xlsx', engine='xlsxwriter', )

df.to_excel(writer, sheet_name='Sheet1', index=False)

workbook  = writer.book
worksheet = writer.sheets['Sheet1']

unlocked = workbook.add_format({'locked': False})
locked   = workbook.add_format({'locked': True})

# Write the 'Date' column data.
worksheet.set_column('C:C', 20)
unlocked_date_format = workbook.add_format({'num_format': 'yyyy-mm-dd',
                                            'locked': False})
worksheet.write_column('C2', df['Date'], unlocked_date_format)

worksheet.protect()
for row in range(1, 150):
    worksheet.set_row(row, None, unlocked)

writer.save()

修改后的输出：