Reading an excel with pandas basing on columns' colors

Question

I have an xlsx file, with columns with various coloring.

I want to read only the white columns of this excel in python using pandas, but I have no clues on hot to do this.

I am able to read the full excel into a dataframe, but then I miss the information about the coloring of the columns and I don't know which columns to remove and which not.

Answer 1

(Disclosure: I'm one of the authors of the library I'm going to suggest)

With StyleFrame (that wraps pandas) you can read an excel file into a dataframe without loosing the style data.

Consider the following sheet:

And the following code:

from styleframe import StyleFrame, utils
# from StyleFrame import StyleFrame, utils (if using version < 3.X)

sf = StyleFrame.read_excel('test.xlsx', read_style=True)
print(sf)

#          b  p                  y
#     0  nan  3             1000.0
#     1  3.0  4                2.0
#     2  4.0  5  42902.72396767148

sf = sf[[col for col in sf.columns
         if col.style.fill.fgColor.rgb in ('FFFFFFFF', utils.colors.white)]]
         # "white" can be represented as 'FFFFFFFF' or
         # '00FFFFFF' (which is what utils.colors.white is set to)
print(sf)

#          b
#    0   nan
#    1   3.0
#    2   4.0