Comments (2)
JSON doesn't support NaN which your code returns so it fails to serialize.
The workaround would be to replace NaN with None.
You can do so by replacing the line of code where you convert to list with the following
y=list(np.where(np.isnan(x.resid), None, x.resid))
If you'd like to see intermediate results in your code (e.g. you could see NaNs in the result set this way), you can put print statements in your SCRIPT calculation. It will print to your console window from which you started TabPy.
I hope this helps.
Bora
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Thank you so much, Bora. It is very helpful!
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Related Issues (20)
- An error occurred while communicating with the Analytics Extension data source ‘Analytics Extension’ HOT 1
- TabPy on Heroku Quickstart runs on port 443 HOT 3
- Simplify Environment Setup with a package.json file
- Clarify community contributions
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- TabPy offline installation HOT 2
- Remove future lib: https://nvd.nist.gov/vuln/detail/CVE-2022-40899
- Erorr when run TabPy server on Ubuntu HOT 2
- Can we use tabpy function even if TABPY_EVALUATE_ENABLE is set to false HOT 3
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- Input form from https://www.tableau.com/blog/building-advanced-analytics-applications-tabpy-64916
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