Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

DOC: `is_float_dtype` meant to be an internal function??

See original GitHub issue

Seems like there is no function for public API to check the dtype of an array-like object. Either the documentation needs to be changed or a public function should be provided and treat this one as an internal one by adding underscore at the beginning of it.

P.S. To keep the consistency between “int” and “float” dtype functions, it’s better to add another function like is_float64_dtype and keep the current one and triage the documentation.

https://github.com/pandas-dev/pandas/blob/e8093ba372f9adfe79439d90fe74b0b5b6dea9d6/pandas/core/dtypes/common.py#L1244

Issue Analytics

State:
Created a year ago
Comments:6 (3 by maintainers)

Top GitHub Comments

1reaction

phoflcommented, Aug 19, 2022

@MRyderOC Could you open a dedicated issue, if you think having a function if_float64_dtype is necessary/a good idea? Also adding a use case where this is helpful would be great. float32 is not very well supported within pandas, this might be a reason why the function does not exist.

0reactions

MRyderOCcommented, Aug 19, 2022

@mroeschke any updates on this? Should we just clean the docs or should we implement the is_float64_dtype?