How to to add Background color to a specific column of pandas dataframe and save that colored dataframe into that same csv?

I strongly suggest reading the guide in the docs
To see an example where column names are styled see this post by Scott Boston

style with apply

df = pd.DataFrame([[0, 1], [2, 3]], ['A', 'B'], ['X', 'Y'])

def f(dat, c='red'):
    return [f'background-color: {c}' for i in dat]

df.style.apply(f, axis=0, subset=['X'])

Multicolor

columns_with_color_dictionary = {'X': 'green', 'Y': 'cyan'}

style = df.style
for column, color in columns_with_color_dictionary.items():
    style = style.apply(f, axis=0, subset=column, c=color)
style

Save color meta data in the column name

df.rename(columns=lambda x: f"{x}_{columns_with_color_dictionary.get(x)}") \
  .to_csv('colorful_df.csv')

df_color = pd.read_csv('colorful_df.csv', index_col=0)

cmap = dict([c.split('_', 1) for c in df_color])
df_color.columns = df_color.columns.str.split('_', 1).str[0]

style = df_color.style
for column, color in cmap.items():
    style = style.apply(f, axis=0, subset=column, c=color)
style

Save as HTML

from IPython.display import HTML

columns_with_color_dictionary = {'X': 'yellow', 'Y': 'orange'}

style = df.style
for column, color in columns_with_color_dictionary.items():
    style = style.apply(f, axis=0, subset=column, c=color)

with open('df.html', 'w') as fh:
    fh.write(style.render())

HTML(open('df.html').read())