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EnhancementError ReportingIncorrect or improved errors from pandasIncorrect or improved errors from pandas
Description
This error message shows the entire JSON, then the erroring part, both of which can be very large.
pandas/pandas/io/json/_normalize.py
Lines 429 to 432 in 68c1af5
raise TypeError( | |
f"{js} has non list value {result} for path {spec}. " | |
"Must be list or null." | |
) |
Example:
url = 'https://www.alphavantage.co/query?function=TIME_SERIES_INTRADAY&symbol=IBM&interval=5min&apikey=demo'
r = requests.get(url)
data = r.json()
meta = pd.json_normalize(data, 'Meta Data')
Error (clipped for readability):
Traceback (most recent call last):
Cell In[50], line 1
meta = pd.json_normalize(data, 'Meta Data')
File pandas/io/json/_normalize.py:519 in json_normalize
_recursive_extract(data, record_path, {}, level=0)
File pandas/io/json/_normalize.py:501 in _recursive_extract
recs = _pull_records(obj, path[0])
File pandas/io/json/_normalize.py:431 in _pull_records
raise TypeError(
TypeError: {'Meta Data': {'1. Information': 'Intraday (5min) open, high, low, close prices and volume', '2. Symbol': 'IBM', '3. Last Refreshed': '2023-12-07 19:55:00', '4. Interval': '5min', '5. Output Size': 'Compact', '6. Time Zone': 'US/Eastern'}, 'Time Series (5min)': ...} has non list value {'1. Information': 'Intraday (5min) open, high, low, close prices and volume', '2. Symbol': 'IBM', '3. Last Refreshed': '2023-12-07 19:55:00', '4. Interval': '5min', '5. Output Size': 'Compact', '6. Time Zone': 'US/Eastern'} for path Meta Data. Must be list or null.
(Here I've clipped the 'Time Series (5min)'
value, but it takes up an order of magnitude more space.)
I believe the error could be changed to simply:
raise TypeError(f"non list value for path {spec}. Must be list or null.")
Then if you need more information, you can inspect data[spec]
.
Although, that wouldn't be ideal for cases where you've inlined the data retrieval, like pd.json_normalize(requests.get(url).json(), 'Meta Data')
.
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EnhancementError ReportingIncorrect or improved errors from pandasIncorrect or improved errors from pandas