[Python] How to delete a column after applying styler function

How to delete column after applying styler? Here's my style function:

def highlight_late(x):
c1 = 'background-color: red'
#condition
m = x['price_1'] < x['price_main_x']
m2 = x['price_2'] < x['price_main_x']
m3 = x['price_3'] < x['price_main_x']
#empty DataFrame of styles
df1 = pd.DataFrame('', index=x.index, columns=x.columns)

#set column price_2 by condition
df1.loc[m, 'price_1'] = c1
df1.loc[m2, 'price_2'] = c1
df1.loc[m3, 'price_3'] = c1
df1.loc[m, 'url_x'] = c1
df1.loc[m2, 'url_y'] = c1
df1.loc[m3, 'url'] = c1

return df1


Method below return me TypeError: 'Styler' object does not support item deletion

styles = myDF.style.apply(highlight_late, axis=None)
del styles['price_1']
del styles['price_2']
del styles['price_3']
styles.to_excel('test.xlsx')


i also try:

mydf.style.hide_columns(['price_1', 'price_2', 'price_3']).to_excel('test.xlsx')


its not work, columns wont hide.

even this simple script from https://pandas.pydata.org/docs/reference/api/pandas.io.formats.style.Styler.hide_columns.html wont work

df = pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=["a", "b", "c"])
df.style.hide_columns(["a", "b"])
df.to_excel('test2.xlsx')

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