Example
generate sample DF
In [39]: df = pd.DataFrame(np.random.randint(0, 10, size=(5, 6)), columns=['a10','a20','a25','b','c','d'])
In [40]: df
Out[40]:
a10 a20 a25 b c d
0 2 3 7 5 4 7
1 3 1 5 7 2 6
2 7 4 9 0 8 7
3 5 8 8 9 6 8
4 8 1 0 4 4 9
show columns containing letter 'a'
In [41]: df.filter(like='a')
Out[41]:
a10 a20 a25
0 2 3 7
1 3 1 5
2 7 4 9
3 5 8 8
4 8 1 0
show columns using RegEx filter (b|c|d) - b or c or d:
In [42]: df.filter(regex='(b|c|d)')
Out[42]:
b c d
0 5 4 7
1 7 2 6
2 0 8 7
3 9 6 8
4 4 4 9
show all columns except those beginning with a (in other word remove / drop all columns satisfying given RegEx)
In [43]: df.ix[:, ~df.columns.str.contains('^a')]
Out[43]:
b c d
0 5 4 7
1 7 2 6
2 0 8 7
3 9 6 8
4 4 4 9
