How to remove multiple columns that end with same text in Pandas?

using filter and regex

df.filter(regex=r'^((?!prefix).)*$')

Demo

df = pd.DataFrame(np.random.rand(2, 6),
                  columns=['oneprefix', 'one',
                           'twoprefix', 'two',
                           'threeprefix', 'three'])

df.filter(regex=r'^((?!prefix).)*$')

where:

df

---

Timing

All are about the same

df2 = df.loc[:, ~df.columns.str.endswith('prefix')]

for the sake of completeness:

In [306]: df
Out[306]:
   prefixcol1  col2prefix  col3prefix  colN
0           1           1           1     1
1           2           2           2     2
2           3           3           3     3

In [307]: df.loc[:, ~df.columns.str.contains('prefix$')]
Out[307]:
   prefixcol1  colN
0           1     1
1           2     2
2           3     3

or another variant:

In [388]: df.select(lambda x: re.search(r'prefix$', str(x)) is None, axis=1)
Out[388]:
   prefixcol1  colN
0           1     1
1           2     2
2           3     3

df2 = df.drop([col for col in df.columns if 'prefix' in col],axis=1)