reply to https://news.ycombinator.com/item?id=13744578

example.py

In [9]: df = pandas.DataFrame(np.random.randint(100, size=(10,1)), columns=['y'])

In [10]: df
Out[10]:
    y
0  13
1   3
2   3
3  29
4  24
5  85
6  49
7   9
8  43
9  64

In [11]: df['y'] = np.log(df['y'])

In [12]: df
Out[12]:
          y
0  2.564949
1  1.098612
2  1.098612
3  3.367296
4  3.178054
5  4.442651
6  3.891820
7  2.197225
8  3.761200
9  4.158883