col_list = ['Fx', 'Fy','Fz']
col_mask = ~(df.columns.isin(col_list)) # boolean list of whether each col in df is in col_list
other_cols = data.columns[col_mask]
df[other_cols] = ...
df[~df.column.isin(list_name)]
>>> df
countries
0 US
1 UK
2 Germany
3 China
>>> countries
['UK', 'China']
>>> df.countries.isin(countries)
0 False
1 True
2 False
3 True
Name: countries, dtype: bool
>>> df[df.countries.isin(countries)]
countries
1 UK
3 China
>>> df[~df.countries.isin(countries)]
countries
0 US
2 Germany
>>> 3 not in [2, 3, 4]
False
>>> 3 not in [4, 5, 6]
True
not in list