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ValueError: arrays must all be same length


On Sun, Oct 4, 2020 at 8:39 AM Tim Williams <tjandacw at gmail.com> wrote:

>
>
> On Fri, Oct 2, 2020 at 11:00 AM Shaozhong SHI <shishaozhong at gmail.com>
> wrote:
>
>> Hello,
>>
>> I got a json response from an API and tried to use pandas to put data into
>> a dataframe.
>>
>> However, I kept getting this ValueError: arrays must all be same length.
>>
>> Can anyone help?
>>
>> The following is the json text.  Regards, Shao
>>
>> (snip json_text)
>
>
>> import pandas as pd
>>
>> import json
>>
>> j = json.JSONDecoder().decode(req.text)  ###req.json
>>
>> df = pd.DataFrame.from_dict(j)
>>
>
> I copied json_text into a Jupyter notebook and got the same error trying
> to convert this into a pandas DataFrame:When I tried to copy this into a
> string, I got an error,, but without enclosing the paste in quotes, I got
> the dictionary.
>
>
(delete long response output)


> for k in json_text.keys():
>     if isinstance(json_text[k], list):
>         print(k, len(json_text[k]))
>
> relationships 0
> locationTypes 0
> regulatedActivities 2
> gacServiceTypes 1
> inspectionCategories 1
> specialisms 4
> inspectionAreas 0
> historicRatings 4
> reports 5
>
> HTH,.
>
>
This may also be more of a pandas issue.

json.loads(json.dumps(json_text))

has a successful round-trip


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