Convert string which illustrates some list into pandas dataframe?

I have the following string:

s = '[[[1],1,¬q,"A",[]],[[2],2,p→q,"A",[]],[[3],3,p,"A",[]],[[2,3],4,q,"→E",[2,3]],[[1,2,3],5,q∧ ¬q,"∧I",[1,4]],[[1,2],6,¬p,"¬I",[3,5]]]'

My aim now is to convert this into some pandas dataframe with columns:

        df = pd.DataFrame(
                   columns=['Assumptions', 'Index', 'Proposition', 'Premisses', 'Rule'])

which can be illustrated in console as follows:

How can I do that?

>Solution :

Looks like a case for regular expressions.

import re
from ast import literal_eval
import pandas as pd

s = ('[[[1],1,¬q,"A",[]],[[2],2,p→q,"A",[]],[[3],3,p,"A",[]],'
     '[[2,3],4,q,"→E",[2,3]],[[1,2,3],5,q∧ ¬q,"∧I",[1,4]],[[1,2],6,¬p,"¬I",[3,5]]]')

rows = []

# split at ',' followed by two closing ]]
for x in re.split(r"(?<=\]\]),", s[1:-1]):
    
    # split at ',' after closing ] OR between '"' and opening [ 
    left, middle, right = re.split(r"(?<=\]),(?=\d)|(?<=\"),(?=\[)", x[1:-1])

    # split the middle part at ','
    middle = middle.split(",")
    
    rows.append([literal_eval(left), *middle, literal_eval(right)])
    


df = pd.DataFrame(rows, columns=['Assumptions', 'Index', 'Proposition', 'Premisses', 'Rule'])
df["Index"] = df.Index.astype(int)
df["Premisses"] = df.Premisses.str.strip('"')

Result:

  Assumptions  Index Proposition Premisses    Rule
0         [1]      1          ¬q         A      []
1         [2]      2         p→q         A      []
2         [3]      3           p         A      []
3      [2, 3]      4           q        →E  [2, 3]
4   [1, 2, 3]      5       q∧ ¬q        ∧I  [1, 4]
5      [1, 2]      6          ¬p        ¬I  [3, 5]