Exporting superscript notation in pandas dataframe to csv or excel

问题

I would like to write the foll. to a csv file:

  df.loc[0] = ['Total (2000)',
                       numpy.nan,
                       numpy.nan,
                       numpy.nan,
                       2.0,
                       1.6,
                       '10^6 km^2']

Is there a way to do that while writing '10^6 km^2' in a format such that the 6 is a superscript to 10 and 2 is a superscript to km. If not possible in csv, can I export to excel?

回答1:

One possible way is to change the actual contents of the dataframe before writing it to a csv (but you can automate this somewhat).

As a proof of concept, using '\u2076' as the unicode representation of superscript 6:

In [21]: df
Out[21]: 
              a   b   c   d  e    f          g
0  Total (2000) NaN NaN NaN  2  1.6  10^6 km^2

In [30]: df['g'] = (df['g'].str.replace("10\^6", u"10\u2076")
    ...:                   .str.replace("km\^2", u"km\u00b2"))

In [31]: df
Out[31]: 
              a   b   c   d  e    f        g
0  Total (2000) NaN NaN NaN  2  1.6  10⁶ km²

In [32]: print df.to_csv(encoding='UTF-8', index=False)
a,b,c,d,e,f,g
Total (2000),,,,2.0,1.6,10⁶ km²

来源：https://stackoverflow.com/questions/35226463/exporting-superscript-notation-in-pandas-dataframe-to-csv-or-excel