Skip to content

Failures in Upstream Tests #7710

@jsignell

Description

@jsignell

There are several failures bubbling up in the Upstream tests they can be grouped like:

pandas reductions (4 failing tests)

FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError.  Select only valid columns before calling the reduction.

pandas groupby (8 failing tests)

FutureWarning: Dropping invalid columns in DataFrameGroupBy.min is deprecated. In a future version, a TypeError will be raised. Before calling .min, select only columns which should be valid for the function.

numpy type promotion (4 failing tests)

FutureWarning: Promotion of numbers and bools to strings is deprecated. In the future, code such as `np.concatenate((['string'], [0]))` will raise an error, while `np.asarray(['string', 0])` will return an array with `dtype=object`.  To avoid the warning while retaining a string result use `dtype='U'` (or 'S').  To get an array of Python objects use `dtype=object`. (Warning added in NumPy 1.21)

I'm opening a PR now to start fixing these.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions