DOC: Specify what "non-null" means in DataFrame.info()

[jxu]

Pandas version checks

• I have checked that the issue still exists on the latest versions of the docs on main here

Location of the documentation

https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.info.html

Documentation problem

Non-null is not specific

Suggested fix for documentation

Link to documentation or specify exactly what non-null means. In particular, for float64s NaN are considered "null". And does it also represent NULLs in the Nullable integer types? https://pandas.pydata.org/docs/user_guide/integer_na.html

Pandas is not consistent with its terminology of NA, NULL, and NaN.
NaN is a floating point value that is not in the IEEE standard as a missing value.
R uses NA consistently and SQL uses NULL consistently in 3VL.

[rhshadrach]

Thanks for the report. I think we should be using NA consistently throughout the docs and not null.

Pandas is not consistent with its terminology of NA, NULL, and NaN.

This is an area being actively worked on. See

#58988

[KevsterAmp]

I think we should be using NA consistently throughout the docs and not null.

@rhshadrach is a PR relevant for this issue? ie replacing non-null in the docs above as non-NA or something similar?

[rhshadrach]

Yep - I think we should replace with non-NA.

[KevsterAmp]

Take

[jxu]

Does it support nullable integer columns?