Applying different formats to different columns dataframe

Question

I have the following df:

table:

     A             B               C                 D
0  0.000000       0.000000      -0.002520          -0.002520
1  0.20         


        

Answer 1

If you create a dictionary containing the formats, you can use style.format:

mapper =  {'A': '{0:.2f}%',
           'B': '{0:.3f}%',
           'C': '{0:.3f}%',
           'D': '{0:.2f}%'}

df.style.format(mapper)

Or using apply (which is column-based by default, axis=0)

df.apply(lambda x: x.apply(mapper[x.name].format))


         A        B        C       D
0    0.00%   0.000%  -0.003%  -0.00%
1    0.21%   0.016%   0.003%   0.02%
2   -0.01%  -0.000%   0.000%   0.00%

If you have few different formats and many columns, you could of course generate the mapper dictionary.