How do you read in a dataframe with lists using pd.read_clipboard?

Question

Here\'s some data from another question:

                          positive                 negative          neutral
1   [marvel, moral, bold, destiny]              


        

Answer 1

Per help from @MaxU

df = pd.read_clipboard(sep='\s{2,}', engine='python')

Then:

>>> df.apply(lambda col: col.str[1:-1].str.split(', '))
                         positive                negative         neutral
1  [marvel, moral, bold, destiny]                      []  [view, should]
2                     [beautiful]     [complicated, need]              []
3                     [celebrate]  [crippling, addiction]           [big]

>>> df.apply(lambda col: col.str[1:-1].str.split()).loc[3, 'negative']
['crippling', 'addiction']

And per the notes from @unutbu who came up with a similar solution:

assumes the first and last character in each cell is [ and ]. It also assumes there is exactly one space after the commas.