Applying literal_eval on string of lists of POS tags gives ValueError

Applying literal_eval on string of lists of POS tags gives ValueError

By : user2173178
Date : October 21 2020, 08:10 PM
wish helps you In a pandas column I have list of POS tags as string. I thought this must be string because print(dataset['text_posTagged'][0][0]) prints [. , Parse only non-null rows. You can drop the lambda.
code :
m = dataset['text_posTagged'].notna()
dataset.loc[m, 'text_posTagged'] = (
    dataset.loc[m, 'text_posTagged'].apply(literal_eval))
dataset.loc[m, 'text_posTagged'] = pd.eval(dataset.loc[m, 'text_posTagged'])

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ValueError: malformed string when using ast.literal_eval

ValueError: malformed string when using ast.literal_eval

By : D. Quesada
Date : March 29 2020, 07:55 AM
should help you out The reason this doesn’t work on Python 2 lies in its implementation of literal_eval. The original implementation only performed number evaluation for additions and subtractions when the righth operand was a complex number. This is syntactically necessary for complex numbers to be expressed as a literal.
This was changed in Python 3 so that it supports any kind of valid number expression to be on either side of the addition and subtraction. However, the use of literal_eval is still restricted to additions and subtractions.
code :
import ast, operator

binOps = {
    ast.Add: operator.add,
    ast.Sub: operator.sub,
    ast.Mult: operator.mul,
    ast.Div: operator.div,
    ast.Mod: operator.mod

def arithmeticEval (s):
    node = ast.parse(s, mode='eval')

    def _eval(node):
        if isinstance(node, ast.Expression):
            return _eval(node.body)
        elif isinstance(node, ast.Str):
            return node.s
        elif isinstance(node, ast.Num):
            return node.n
        elif isinstance(node, ast.BinOp):
            return binOps[type(node.op)](_eval(node.left), _eval(node.right))
            raise Exception('Unsupported type {}'.format(node))

    return _eval(node.body)
>>> arithmeticEval('4+2')
>>> arithmeticEval('4*1+2*6/3')
ValueError: malformed string using ast.literal_eval

ValueError: malformed string using ast.literal_eval

By : silvio
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further You should not use ast.literal_eval() on JSON data. JSON and Python literals may look like the same thing, but they are very much not.
In this case, your data contains a boolean flag, set to false in JSON. A proper Python boolean uses title-case, so False:
code :
>>> import json, ast
>>> s = '{"no_sell_or_sort": false, "size": 20}'
>>> json.loads(s)
{u'no_sell_or_sort': False, u'size': 20}
>>> ast.literal_eval(s)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/mj/Development/Library/buildout.python/parts/opt/lib/python2.7/ast.py", line 80, in literal_eval
    return _convert(node_or_string)
  File "/Users/mj/Development/Library/buildout.python/parts/opt/lib/python2.7/ast.py", line 63, in _convert
    in zip(node.keys, node.values))
  File "/Users/mj/Development/Library/buildout.python/parts/opt/lib/python2.7/ast.py", line 62, in <genexpr>
    return dict((_convert(k), _convert(v)) for k, v
  File "/Users/mj/Development/Library/buildout.python/parts/opt/lib/python2.7/ast.py", line 79, in _convert
    raise ValueError('malformed string')
ValueError: malformed string
response_item = ast.literal_eval(json.dumps(response_item, ensure_ascii=False).encode('utf8'))
python: ast.literal_eval() gives ValueError: malformed string

python: ast.literal_eval() gives ValueError: malformed string

By : George Navas
Date : March 29 2020, 07:55 AM
this one helps. The string '(ENG,80),(PHY,65),(CHEM,80)' is not a valid Python literal. Presumably you want ENG, PHY and CHEM to be treated as strings, but they are not quoted to be valid Python string literals.
Just parse this part manually:
code :
N = {' Marie ': ' (ENG,80) (PHY,65) (CHEM,80) '} 
value = N.values()[0]
output = [(token, int(num)) for tup in value.split() for token, num in (tup.strip('()').split(','),)]
>>> N = {' Marie ': ' (ENG,80) (PHY,65) (CHEM,80) '}
>>> value = N.values()[0]
>>> [(token, int(num)) for tup in value.split() for token, num in (tup.strip('()').split(','),)]
[('ENG', 80), ('PHY', 65), ('CHEM', 80)]
Malformed String ValueError ast.literal_eval() with String representation of Tuple

Malformed String ValueError ast.literal_eval() with String representation of Tuple

By : Gomathi Ganesan
Date : March 29 2020, 07:55 AM
it helps some times ast.literal_eval (located in ast.py) parses the tree with ast.parse first, then it evaluates the code with quite an ugly recursive function, interpreting the parse tree elements and replacing them with their literal equivalents. Unfortunately the code is not at all expandable, so to add Decimal to the code you need to copy all the code and start over.
For a slightly easier approach, you can use ast.parse module to parse the expression, and then the ast.NodeVisitor or ast.NodeTransformer to ensure that there is no unwanted syntax or unwanted variable accesses. Then compile with compile and eval to get the result.
ast.literal_eval ValueError('malformed string')

ast.literal_eval ValueError('malformed string')

By : MR-Ingenuity
Date : March 29 2020, 07:55 AM
To fix this issue I have a string of the form {"Top":[{"A":1,"B":721.0,"C":false}]} which I would like to convert into a Python collection. , false is not accepted by ast.literal_eval.
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