10000 Json normalize nan support by antoineviscardi · Pull Request #25619 · pandas-dev/pandas · GitHub
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Json normalize nan support #25619

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merged 12 commits into from
Mar 13, 2019
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antoineviscardi committed Mar 11, 2019
commit 838133a08beae04069900834d77449642f50de86
2 changes: 2 additions & 0 deletions doc/source/whatsnew/v0.25.0.rst
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Expand Up @@ -214,7 +214,9 @@ I/O
- Bug in :func:`read_json` for ``orient='table'`` when it tries to infer dtypes by default, which is not applicable as dtypes are already defined in the JSON schema (:issue:`21345`)
- Bug in :func:`read_json` for ``orient='table'`` and float index, as it infers index dtype by default, which is not applicable because index dtype is already defined in the JSON schema (:issue:`25433`)
- Bug in :func:`read_json` for ``orient='table'`` and string of float column names, as it makes a column name type conversion to Timestamp, which is not applicable because column names are already defined in the JSON schema (:issue:`25435`)
<<<<<<< HEAD
- Bug in :func:`json_normalize` for ``errors='ignore'`` where missing values in the input data, were filled in resulting ``DataFrame`` with the string "nan" instead of ``numpy.nan`` (:issue:`25468`)
- :meth:`DataFrame.to_html` now raises ``TypeError`` when using an invalid type for the ``classes`` parameter instead of ``AsseertionError`` (:issue:`25608`)
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