Read non-ascii excel with merged cells where there **are** actual NA












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I was trying to read data from a large xlsx file using pandas containing a lot of merged cells (asyncly per column). I already read the similar question here:




Pandas: Reading Excel with merged cells




But my file do contains NA (i.e. empty cells). If I use the solution in that question, the NA cells will be filled with things above it which would be critical for this data.



I have Excel 2013 installed on this computer. I tried Saving as the file as csv or Unicode Text but that also don't work due to the following reasons:




  • Merged cells will not be saved correctly (i.e. will not be filled)


  • The file is written in Chinese (i.e. non-ASCII, probably GB2312). There are a lot of problem saving non-ASCII Excel files to non-Excel format. Excel cannot open the csv file save by itself (it either reports failed to open broken SYLK file or simple shows garbage). Notepad++ can open it, but some texts become unreadable garbage. I tried changing the Encoding option in Web Options to UTF-8, Unicode, GB2312, GBK and etc., but none of them works.



I'm wondering how can I read non-ASCII excel with merged cells where there are actual NA? Non-pandas or excel-side solutions are also fine but python-side solutions would be more welcomed.



Thank you!










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    0














    I was trying to read data from a large xlsx file using pandas containing a lot of merged cells (asyncly per column). I already read the similar question here:




    Pandas: Reading Excel with merged cells




    But my file do contains NA (i.e. empty cells). If I use the solution in that question, the NA cells will be filled with things above it which would be critical for this data.



    I have Excel 2013 installed on this computer. I tried Saving as the file as csv or Unicode Text but that also don't work due to the following reasons:




    • Merged cells will not be saved correctly (i.e. will not be filled)


    • The file is written in Chinese (i.e. non-ASCII, probably GB2312). There are a lot of problem saving non-ASCII Excel files to non-Excel format. Excel cannot open the csv file save by itself (it either reports failed to open broken SYLK file or simple shows garbage). Notepad++ can open it, but some texts become unreadable garbage. I tried changing the Encoding option in Web Options to UTF-8, Unicode, GB2312, GBK and etc., but none of them works.



    I'm wondering how can I read non-ASCII excel with merged cells where there are actual NA? Non-pandas or excel-side solutions are also fine but python-side solutions would be more welcomed.



    Thank you!










    share|improve this question

























      0












      0








      0







      I was trying to read data from a large xlsx file using pandas containing a lot of merged cells (asyncly per column). I already read the similar question here:




      Pandas: Reading Excel with merged cells




      But my file do contains NA (i.e. empty cells). If I use the solution in that question, the NA cells will be filled with things above it which would be critical for this data.



      I have Excel 2013 installed on this computer. I tried Saving as the file as csv or Unicode Text but that also don't work due to the following reasons:




      • Merged cells will not be saved correctly (i.e. will not be filled)


      • The file is written in Chinese (i.e. non-ASCII, probably GB2312). There are a lot of problem saving non-ASCII Excel files to non-Excel format. Excel cannot open the csv file save by itself (it either reports failed to open broken SYLK file or simple shows garbage). Notepad++ can open it, but some texts become unreadable garbage. I tried changing the Encoding option in Web Options to UTF-8, Unicode, GB2312, GBK and etc., but none of them works.



      I'm wondering how can I read non-ASCII excel with merged cells where there are actual NA? Non-pandas or excel-side solutions are also fine but python-side solutions would be more welcomed.



      Thank you!










      share|improve this question













      I was trying to read data from a large xlsx file using pandas containing a lot of merged cells (asyncly per column). I already read the similar question here:




      Pandas: Reading Excel with merged cells




      But my file do contains NA (i.e. empty cells). If I use the solution in that question, the NA cells will be filled with things above it which would be critical for this data.



      I have Excel 2013 installed on this computer. I tried Saving as the file as csv or Unicode Text but that also don't work due to the following reasons:




      • Merged cells will not be saved correctly (i.e. will not be filled)


      • The file is written in Chinese (i.e. non-ASCII, probably GB2312). There are a lot of problem saving non-ASCII Excel files to non-Excel format. Excel cannot open the csv file save by itself (it either reports failed to open broken SYLK file or simple shows garbage). Notepad++ can open it, but some texts become unreadable garbage. I tried changing the Encoding option in Web Options to UTF-8, Unicode, GB2312, GBK and etc., but none of them works.



      I'm wondering how can I read non-ASCII excel with merged cells where there are actual NA? Non-pandas or excel-side solutions are also fine but python-side solutions would be more welcomed.



      Thank you!







      python excel pandas csv encoding






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      share|improve this question










      asked Nov 21 at 3:04









      ZisIsNotZis

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