我有一个数据帧,如下面的代码所示。我只想锁定标题(顶行),并让用户更改其余的单元格。根据下面的代码,它确实锁定了标题,并使我能够更改除"Date“列之外的所有列的值。我无法更改日期列的值。它也应该允许我更改date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()
发布于 2019-05-21 23:35:51
在XlsxWriter中,单元格格式覆盖行格式,而行格式覆盖列格式。
datetime单元格没有解锁的原因是Pandas对这些单元格应用了一种单元格格式(对于日期格式),因此忽略/覆盖了行格式。
避免这种情况的唯一方法是将数据单元数据与其他数据帧数据分开写入(或覆盖),并应用未锁定的日期格式。如下所示:
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:
https://stackoverflow.com/questions/56240667
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