How to explode a list inside a Dataframe cell into separate rows

Question

I\'m looking to turn a pandas cell containing a list into rows for each of those values.

So, take this:

If I\'d like to unpack and stack the value

Answer 1

So all of these answers are good but I wanted something ^really simple^ so here's my contribution:

def explode(series):
    return pd.Series([x for _list in series for x in _list])                               

That's it.. just use this when you want a new series where the lists are 'exploded'. Here's an example where we do value_counts() on taco choices :)

In [1]: my_df = pd.DataFrame(pd.Series([['a','b','c'],['b','c'],['c']]), columns=['tacos'])      
In [2]: my_df.head()                                                                               
Out[2]: 
   tacos
0  [a, b, c]
1     [b, c]
2        [c]

In [3]: explode(my_df['tacos']).value_counts()                                                     
Out[3]: 
c    3
b    2
a    1