Resolve multiple warnings with latest pandas version (2.2.0)

[desilinguist]

Seeing the following warnings in the report:

Pyarrow will become a required dependency of pandas in the next major release of pandas (pandas 3.0),
(to allow more performant data types, such as the Arrow string type, and better interoperability with other libraries)
but was not found to be installed on your system.
If this would cause problems for you,
please provide us feedback at https://github.com/pandas-dev/pandas/issues/54466
        
  import pandas as pd

When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.

SeriesGroupBy.grouper is deprecated and will be removed in a future version of pandas.

[desilinguist]

Turns out some of the warnings in the report were a result of how seaborn was using pandas and they have been fixed in the latest version of seaborn=0.13.2. @mulhod since you were seeing these warnings in the wild, can you confirm the upgrading seaborn removes all of them except the pyarrow one?

[desilinguist]

There are two additional warnings showing up when running the tests:

The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.

and

Downcasting behavior in Series and DataFrame methods 'where', 'mask', and 'clip' is deprecated. In a future version this will not infer object dtypes or cast all-round floats to integers. Instead call result.infer_objects(copy=False) for object inference, or cast round floats explicitly. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)

Out of these, there second is a spurious warning that will be fixed in the upcoming v2.2.1 release of pandas.