How to fix "OverflowError: Unsupported UTF-8 sequence length when encoding string"
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Getting follwoing error while converting pandas dataframe to json

OverflowError: Unsupported UTF-8 sequence length when encoding string

this is code to

        bytes_to_write = data.to_json(orient='records').encode()
        fs = s3fs.S3FileSystem(key=aws_access_key_id, secret=aws_secret_access_key)
        with fs.open(file, 'wb') as f:
            f.write(bytes_to_write)

While data which trying to convert to json contain more utf-8 codes

How to solve this?

Kissie answered 31/7, 2019 at 7:40 Comment(0)
C
7

As this answer suggests, I converted the data-frame using the function .to_json() and the default_handler parameter, you can find the documentation here.

You have to pay attention to the default_handler=str parameter so you don't get the mentioned error. You can read the details in the doc above.

dataframe.to_json('foo.json', default_handler=str) 

Please don't forget to consider that the function can output the json in differents ways, the orient='<option>' parameter specifies that, as the doc says:

orient: str
Indication of expected JSON string format.
...
The format of the JSON string:

- ‘split’ : dict like {‘index’ -> [index], ‘columns’ -> [columns], ‘data’ -> [values]}
- ‘records’ : list like [{column -> value}, … , {column -> value}]
- ‘index’ : dict like {index -> {column -> value}}
- ‘columns’ : dict like {column -> {index -> value}}
- ‘values’ : just the values array
- ‘table’ : dict like {‘schema’: {schema}, ‘data’: {data}}

Describing the data, where data component is like orient='records'.
Clupeoid answered 26/3, 2020 at 23:51 Comment(0)

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