Can't export pandas dataframe to excel / encod

Question

I'm unable to export one of my dataframes due to some encoding difficulty.

sjM.dtypes

Customer Name              object
Total Sales               float64
Sales Rank                float64
Visit_Frequency           float64
Last_Sale          datetime64[ns]
dtype: object

csv export works fine

path = 'c:\\test'
sjM.to_csv(path + '.csv')   # Works

but the excel export fails

sjM.to_excel(path + '.xls')

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "testing.py", line 338, in <module>
    sjM.to_excel(path + '.xls')
  File "c:\Anaconda\Lib\site-packages\pandas\core\frame.py", line 1197, in to_excel
    excel_writer.save()
  File "c:\Anaconda\Lib\site-packages\pandas\io\excel.py", line 595, in save
    return self.book.save(self.path)
  File "c:\Anaconda\Lib\site-packages\xlwt\Workbook.py", line 662, in save
    doc.save(filename, self.get_biff_data())
  File "c:\Anaconda\Lib\site-packages\xlwt\Workbook.py", line 637, in get_biff_data
    shared_str_table   = self.__sst_rec()
  File "c:\Anaconda\Lib\site-packages\xlwt\Workbook.py", line 599, in __sst_rec
    return self.__sst.get_biff_record()
  File "c:\Anaconda\Lib\site-packages\xlwt\BIFFRecords.py", line 76, in get_biff_record
    self._add_to_sst(s)
  File "c:\Anaconda\Lib\site-packages\xlwt\BIFFRecords.py", line 91, in _add_to_sst
    u_str = upack2(s, self.encoding)
  File "c:\Anaconda\Lib\site-packages\xlwt\UnicodeUtils.py", line 50, in upack2
    us = unicode(s, encoding)
UnicodeDecodeError: 'ascii' codec can't decode byte 0x81 in position 22: ordinal not in range(128)

I know that the problem is coming from the 'Customer Name' column, as after deletion the export to excel works fine.

I've tried following advice from that question (Python pandas to_excel 'utf8' codec can't decode byte), using a function to decode and re-encode the offending column

def changeencode(data):
    cols = data.columns
    for col in cols:
        if data[col].dtype == 'O':
            data[col] = data[col].str.decode('latin-1').str.encode('utf-8')
    return data

sJM = changeencode(sjM)

sjM['Customer Name'].str.decode('utf-8')

L2-00864                         SETIA 2
K1-00279                     BERKAT JAYA
L2-00664                        TK. ANTO
BR00035                   BRASIL JAYA,TK
RA00011               CV. RAHAYU SENTOSA

so the conversion to unicode appears to be successful

sjM.to_excel(path + '.xls')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "c:\Anaconda\Lib\site-packages\pandas\core\frame.py", line 1197, in to_excel
    excel_writer.save()
  File "c:\Anaconda\Lib\site-packages\pandas\io\excel.py", line 595, in save
    return self.book.save(self.path)
  File "c:\Anaconda\Lib\site-packages\xlwt\Workbook.py", line 662, in save
    doc.save(filename, self.get_biff_data())
  File "c:\Anaconda\Lib\site-packages\xlwt\Workbook.py", line 637, in get_biff_data
    shared_str_table   = self.__sst_rec()
  File "c:\Anaconda\Lib\site-packages\xlwt\Workbook.py", line 599, in __sst_rec
    return self.__sst.get_biff_record()
  File "c:\Anaconda\Lib\site-packages\xlwt\BIFFRecords.py", line 76, in get_biff_record
    self._add_to_sst(s)
  File "c:\Anaconda\Lib\site-packages\xlwt\BIFFRecords.py", line 91, in _add_to_sst
    u_str = upack2(s, self.encoding)
  File "c:\Anaconda\Lib\site-packages\xlwt\UnicodeUtils.py", line 50, in upack2
    us = unicode(s, encoding)
UnicodeDecodeError: 'ascii' codec can't decode byte 0xc2 in position 22: ordinal not in range(128)

1. Why does it fails, even though the conversion to unicode appears to be successful ?
2. How can i work around this issue to export that dataframe to excel ?

@Jeff

Thanks for showing me the right direction

steps used :

install xlsxwriter (not bundled with pandas)

sjM.to_excel(path + '.xlsx', sheet_name='Sheet1', engine='xlsxwriter')

Answer 1

You need to use pandas >= 0.13, and the xlsxwriter engine for excel, which supports native unicode writing. xlwt, the default engine will support passing an encoding option will be available in 0.14.

see here for the engine docs.