I work with some database and use Pandas to make the analysis. The following entries should be arrays, but Pandas 'sees' them as objects. How to convert each row (entry) into an array or a list of numbers?

My task is to count a number of appearances of zeros '[0]' in this column (which should be 6).

```
df['q3']
Out[26]: 
7838        [1, 2, 3]
7790              [0]
7853     [1, 2, 3, 4]
7889           [1, 2]
7928        [1, 2, 3]
7847              [1]
7884              [1]
7826              [1]
22101             [1]
7784              [1]
7795              [1]
7743        [1, 3, 4]
7878     [1, 2, 3, 4]
7761              [0]
7771           [1, 3]
7901           [1, 3]
7873     [3, 2, 1, 4]
8424              [1]
7887              [0]
7969           [1, 2]
8020              [0]
7895              [0]
7834        [1, 2, 3]
7947              [1]
7822        [2, 3, 4]
7970              [0]
8124              [1]
7916           [1, 2]
Name: q3, dtype: object

In [27]: df['q3'].values
Out[27]: 
array([[u'1', u'2', u'3'], [u'0'], [u'1', u'2', u'3', u'4'], ..., [u'0'],
       [u'1'], [u'1', u'2']], dtype=object)

```