#print err, dir(err), err.start, err.end, err.objectĬodecs.register_error('slashescape', slashescape) returnĪ tuple with a replacement for the unencodable part of the inputĪnd a position where encoding should continue""" It should be slower than the cp437 solution, but it should produce identical results on every Python version.
#Convert string to json object update
UPDATE 20170119: I decided to implement slash escaping decode that works for both Python 2 and Python 3. See Python’s Unicode Support for details. Lines.append(code('utf-8', 'backslashreplace')) That works only for Python 3, so even with this workaround you will still get inconsistent output from different Python versions: PY3K = sys.version_info >= (3, 0) UPDATE 20170116: Thanks to comment by Nearoo - there is also a possibility to slash escape all unknown bytes with backslashreplace error handler. UPDATE 20150604: There are rumors that Python 3 has the surrogateescape error strategy for encoding stuff into binary data without data loss and crashes, but it needs conversion tests, -> ->, to validate both performance and reliability. See the missing points in Codepage Layout - it is where Python chokes with infamous ordinal not in range. The same applies to latin-1, which was popular (the default?) for Python 2. UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 2: invalid With this knowledge, you can effectively work with JSON data in Python and build applications that exchange data seamlessly.If you don't know the encoding, then to read binary input into string in Python 3 and Python 2 compatible way, use the ancient MS-DOS CP437 encoding: PY3K = sys.version_info >= (3, 0)īecause encoding is unknown, expect non-English symbols to translate to characters of cp437 (English characters are not translated, because they match in most single byte encodings and UTF-8).ĭecoding arbitrary binary input to UTF-8 is unsafe, because you may get this: > b'\x00\x01\xffsd'.decode('utf-8') By handling errors that may occur during parsing or loading, you can ensure that your program is able to handle unexpected input and continue to function properly.
In summary, converting a string to JSON in Python can be done easily using the json module’s loads() and load() methods. Therefore, it’s important to ensure that the JSON data is properly formatted before attempting to convert it to a Python object. It’s important to note that JSON has a specific format that must be followed, and any errors in the formatting can cause issues when trying to parse or load the data. By handling errors that may occur while parsing or loading JSON data, you can ensure that your program is robust and able to handle unexpected input. With the json module, it’s easy to parse a JSON string or load a JSON file and convert it to a Python object. ConclusionĬonverting a string to JSON is a common task when working with JSON data in Python. When we attempt to parse the JSON string with loads(), a JSONDecodeError exception is raised, and we print the error message. In this example, we intentionally created an error in the JSON string by adding a comma after the last property. Error: Expecting property name enclosed in double quotes: line 1 column 28 (char 27)
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