python - Pandas applymap内存错误

Question

我正在尝试将日期时间的所有实例更改为字符串并将我的数据框导出到 Excel。数据帧可能有 20,000 - 50,000 个条目。这是我当前的代码:

wb = xw.Book('filelname.xlsx')
sht = wb.sheets['FNC']
data = wb.sheets['Data']
smdata = wb.sheets['Social']

df_sm_temp = sm_all

df_sm_temp['Date'] = df_sm_temp['Date'].apply(lambda x: str(x) if isinstance(x, datetime.time) else x)
df_sm_temp['Added'] = df_sm_temp['Added'].apply(lambda x: str(x) if isinstance(x, datetime.time) else x)
df_sm_temp['Updated'] = df_sm_temp['Updated'].apply(lambda x: str(x) if isinstance(x, datetime.time) else x)

 smdata.range('SM_ALL').value = df_sm_temp

当尝试运行此程序时，我收到内存错误。任何帮助将不胜感激!

这是数据集的一个小样本:https://www.sendspace.com/file/jxhmx2

谢谢

Answer 1

实际上你不需要转换数据本身，只需将datetime_format与xlsxwriter引擎结合使用即可:

演示:

writer = pd.ExcelWriter('/path/to/result.xlsx', engine='xlsxwriter', 
                        date_format='mm/dd/yyyy', datetime_format='mm/dd/yyyy')

df.to_excel(writer)