Support up to pandas 3

[pmrv]

Pull Request Template

Thank you for contributing to our project! Please review the checklist and fill out the details below.

Description of Changes

Widens the pandas requirement in setup.py from pandas<=2.0 to pandas>=2,<4, covering the whole pandas 2.x and 3.x series.

The codebase was audited for pandas 3 blockers; none were found:

No use of APIs removed in pandas 2/3 (DataFrame.append, applymap, Series.iteritems, delim_whitespace, .ix).
No chained assignment — all DataFrame writes go through df[col] = ... or df.loc[mask, col] = ..., so pandas 3's enforced Copy-on-Write does not change behavior.
All .map() calls operate on Series/Index objects, so nothing depends on DataFrame.map (introduced in 2.1), keeping the 2.0 lower bound valid.
Legacy pickled reference DataFrames (tests/*.pckl.gzip, [data/exmpl_df.pckl.gzip](https://github.com/pmrv/python-ace/blob/claude/sleepy-dijkstra-luopd2/data/exmpl_df.pckl.gzip)) load correctly under pandas 3, with object dtype preserved.
The existing numpy<=1.26.4 pin satisfies pandas 3's numpy ≥1.26 requirement.

Also installs the vendored lib/maxvolpy explicitly in the test workflow: pip install . does not run the custom setup.py install hook, so test_activelearning/test_activeexploration failed collection in CI with ModuleNotFoundError: maxvolpy.

Checklist

• Code is well-documented.
• All tests have been run and passed.
• Relevant documentation has been updated if necessary.

License Agreement

By submitting this pull request, I agree that:

• The code submitted in this pull request will be distributed under the Academic Software License (free for academic non-commercial use, not free for commercial use), see LICENSE.md for more details.
• The copyright for the code, including the submitted code, remains with Ruhr University Bochum. Ruhr University Bochum retains the right to transfer or modify the copyright.

---

Thank you for your contribution!

[pmrv]

There's some drive-by fixes for the CI too. Not sure if those were only important for my repo or also here.

[pmrv]

Pull Request Template

Thank you for contributing to our project! Please review the checklist and fill out the details below.

Description of Changes

Widens the pandas requirement in setup.py from pandas<=2.0 to pandas>=2,<4, covering the whole pandas 2.x and 3.x series.

The codebase was audited for pandas 3 blockers; none were found:

No use of APIs removed in pandas 2/3 (DataFrame.append, applymap, Series.iteritems, delim_whitespace, .ix).
No chained assignment — all DataFrame writes go through df[col] = ... or df.loc[mask, col] = ..., so pandas 3's enforced Copy-on-Write does not change behavior.
All .map() calls operate on Series/Index objects, so nothing depends on DataFrame.map (introduced in 2.1), keeping the 2.0 lower bound valid.
Legacy pickled reference DataFrames (tests/*.pckl.gzip, [data/exmpl_df.pckl.gzip](https://github.com/pmrv/python-ace/blob/claude/sleepy-dijkstra-luopd2/data/exmpl_df.pckl.gzip)) load correctly under pandas 3, with object dtype preserved.
The existing numpy<=1.26.4 pin satisfies pandas 3's numpy ≥1.26 requirement.

Also installs the vendored lib/maxvolpy explicitly in the test workflow: pip install . does not run the custom setup.py install hook, so test_activelearning/test_activeexploration failed collection in CI with ModuleNotFoundError: maxvolpy.

Checklist

• Code is well-documented.
• All tests have been run and passed.
• Relevant documentation has been updated if necessary.

License Agreement

By submitting this pull request, I agree that:

• The code submitted in this pull request will be distributed under the Academic Software License (free for academic non-commercial use, not free for commercial use), see LICENSE.md for more details.
• The copyright for the code, including the submitted code, remains with Ruhr University Bochum. Ruhr University Bochum retains the right to transfer or modify the copyright.

---

Thank you for your contribution!

[pmrv]

There's some drive-by fixes for the CI too. Not sure if those were only important for my repo or also here.

[pmrv]

Pull Request Template

Thank you for contributing to our project! Please review the checklist and fill out the details below.

Description of Changes

Widens the pandas requirement in setup.py from pandas<=2.0 to pandas>=2,<4, covering the whole pandas 2.x and 3.x series.

The codebase was audited for pandas 3 blockers; none were found:

No use of APIs removed in pandas 2/3 (DataFrame.append, applymap, Series.iteritems, delim_whitespace, .ix).
No chained assignment — all DataFrame writes go through df[col] = ... or df.loc[mask, col] = ..., so pandas 3's enforced Copy-on-Write does not change behavior.
All .map() calls operate on Series/Index objects, so nothing depends on DataFrame.map (introduced in 2.1), keeping the 2.0 lower bound valid.
Legacy pickled reference DataFrames (tests/*.pckl.gzip, [data/exmpl_df.pckl.gzip](https://github.com/pmrv/python-ace/blob/claude/sleepy-dijkstra-luopd2/data/exmpl_df.pckl.gzip)) load correctly under pandas 3, with object dtype preserved.
The existing numpy<=1.26.4 pin satisfies pandas 3's numpy ≥1.26 requirement.

Also installs the vendored lib/maxvolpy explicitly in the test workflow: pip install . does not run the custom setup.py install hook, so test_activelearning/test_activeexploration failed collection in CI with ModuleNotFoundError: maxvolpy.

Checklist

• Code is well-documented.
• All tests have been run and passed.
• Relevant documentation has been updated if necessary.

License Agreement

By submitting this pull request, I agree that:

• The code submitted in this pull request will be distributed under the Academic Software License (free for academic non-commercial use, not free for commercial use), see LICENSE.md for more details.
• The copyright for the code, including the submitted code, remains with Ruhr University Bochum. Ruhr University Bochum retains the right to transfer or modify the copyright.

---

Thank you for your contribution!

[pmrv]

There's some drive-by fixes for the CI too. Not sure if those were only important for my repo or also here.

[pmrv]

Pull Request Template

Thank you for contributing to our project! Please review the checklist and fill out the details below.

Description of Changes

Widens the pandas requirement in setup.py from pandas<=2.0 to pandas>=2,<4, covering the whole pandas 2.x and 3.x series.

The codebase was audited for pandas 3 blockers; none were found:

No use of APIs removed in pandas 2/3 (DataFrame.append, applymap, Series.iteritems, delim_whitespace, .ix).
No chained assignment — all DataFrame writes go through df[col] = ... or df.loc[mask, col] = ..., so pandas 3's enforced Copy-on-Write does not change behavior.
All .map() calls operate on Series/Index objects, so nothing depends on DataFrame.map (introduced in 2.1), keeping the 2.0 lower bound valid.
Legacy pickled reference DataFrames (tests/*.pckl.gzip, [data/exmpl_df.pckl.gzip](https://github.com/pmrv/python-ace/blob/claude/sleepy-dijkstra-luopd2/data/exmpl_df.pckl.gzip)) load correctly under pandas 3, with object dtype preserved.
The existing numpy<=1.26.4 pin satisfies pandas 3's numpy ≥1.26 requirement.

Also installs the vendored lib/maxvolpy explicitly in the test workflow: pip install . does not run the custom setup.py install hook, so test_activelearning/test_activeexploration failed collection in CI with ModuleNotFoundError: maxvolpy.

Checklist

• Code is well-documented.
• All tests have been run and passed.
• Relevant documentation has been updated if necessary.

License Agreement

By submitting this pull request, I agree that:

• The code submitted in this pull request will be distributed under the Academic Software License (free for academic non-commercial use, not free for commercial use), see LICENSE.md for more details.
• The copyright for the code, including the submitted code, remains with Ruhr University Bochum. Ruhr University Bochum retains the right to transfer or modify the copyright.

---

Thank you for your contribution!

[pmrv]

There's some drive-by fixes for the CI too. Not sure if those were only important for my repo or also here.

[pmrv]

Pull Request Template

Thank you for contributing to our project! Please review the checklist and fill out the details below.

Description of Changes

Widens the pandas requirement in setup.py from pandas<=2.0 to pandas>=2,<4, covering the whole pandas 2.x and 3.x series.

The codebase was audited for pandas 3 blockers; none were found:

No use of APIs removed in pandas 2/3 (DataFrame.append, applymap, Series.iteritems, delim_whitespace, .ix).
No chained assignment — all DataFrame writes go through df[col] = ... or df.loc[mask, col] = ..., so pandas 3's enforced Copy-on-Write does not change behavior.
All .map() calls operate on Series/Index objects, so nothing depends on DataFrame.map (introduced in 2.1), keeping the 2.0 lower bound valid.
Legacy pickled reference DataFrames (tests/*.pckl.gzip, [data/exmpl_df.pckl.gzip](https://github.com/pmrv/python-ace/blob/claude/sleepy-dijkstra-luopd2/data/exmpl_df.pckl.gzip)) load correctly under pandas 3, with object dtype preserved.
The existing numpy<=1.26.4 pin satisfies pandas 3's numpy ≥1.26 requirement.

Also installs the vendored lib/maxvolpy explicitly in the test workflow: pip install . does not run the custom setup.py install hook, so test_activelearning/test_activeexploration failed collection in CI with ModuleNotFoundError: maxvolpy.

Checklist

• Code is well-documented.
• All tests have been run and passed.
• Relevant documentation has been updated if necessary.

License Agreement

By submitting this pull request, I agree that:

• The code submitted in this pull request will be distributed under the Academic Software License (free for academic non-commercial use, not free for commercial use), see LICENSE.md for more details.
• The copyright for the code, including the submitted code, remains with Ruhr University Bochum. Ruhr University Bochum retains the right to transfer or modify the copyright.

---

Thank you for your contribution!

[pmrv]

There's some drive-by fixes for the CI too. Not sure if those were only important for my repo or also here.

[pmrv]

Pull Request Template

Thank you for contributing to our project! Please review the checklist and fill out the details below.

Description of Changes

Widens the pandas requirement in setup.py from pandas<=2.0 to pandas>=2,<4, covering the whole pandas 2.x and 3.x series.

The codebase was audited for pandas 3 blockers; none were found:

No use of APIs removed in pandas 2/3 (DataFrame.append, applymap, Series.iteritems, delim_whitespace, .ix).
No chained assignment — all DataFrame writes go through df[col] = ... or df.loc[mask, col] = ..., so pandas 3's enforced Copy-on-Write does not change behavior.
All .map() calls operate on Series/Index objects, so nothing depends on DataFrame.map (introduced in 2.1), keeping the 2.0 lower bound valid.
Legacy pickled reference DataFrames (tests/*.pckl.gzip, [data/exmpl_df.pckl.gzip](https://github.com/pmrv/python-ace/blob/claude/sleepy-dijkstra-luopd2/data/exmpl_df.pckl.gzip)) load correctly under pandas 3, with object dtype preserved.
The existing numpy<=1.26.4 pin satisfies pandas 3's numpy ≥1.26 requirement.

Also installs the vendored lib/maxvolpy explicitly in the test workflow: pip install . does not run the custom setup.py install hook, so test_activelearning/test_activeexploration failed collection in CI with ModuleNotFoundError: maxvolpy.

Checklist

• Code is well-documented.
• All tests have been run and passed.
• Relevant documentation has been updated if necessary.

License Agreement

By submitting this pull request, I agree that:

• The code submitted in this pull request will be distributed under the Academic Software License (free for academic non-commercial use, not free for commercial use), see LICENSE.md for more details.
• The copyright for the code, including the submitted code, remains with Ruhr University Bochum. Ruhr University Bochum retains the right to transfer or modify the copyright.

---

Thank you for your contribution!

[pmrv]

There's some drive-by fixes for the CI too. Not sure if those were only important for my repo or also here.

[pmrv]

Pull Request Template

Thank you for contributing to our project! Please review the checklist and fill out the details below.

Description of Changes

Widens the pandas requirement in setup.py from pandas<=2.0 to pandas>=2,<4, covering the whole pandas 2.x and 3.x series.

The codebase was audited for pandas 3 blockers; none were found:

No use of APIs removed in pandas 2/3 (DataFrame.append, applymap, Series.iteritems, delim_whitespace, .ix).
No chained assignment — all DataFrame writes go through df[col] = ... or df.loc[mask, col] = ..., so pandas 3's enforced Copy-on-Write does not change behavior.
All .map() calls operate on Series/Index objects, so nothing depends on DataFrame.map (introduced in 2.1), keeping the 2.0 lower bound valid.
Legacy pickled reference DataFrames (tests/*.pckl.gzip, [data/exmpl_df.pckl.gzip](https://github.com/pmrv/python-ace/blob/claude/sleepy-dijkstra-luopd2/data/exmpl_df.pckl.gzip)) load correctly under pandas 3, with object dtype preserved.
The existing numpy<=1.26.4 pin satisfies pandas 3's numpy ≥1.26 requirement.

Also installs the vendored lib/maxvolpy explicitly in the test workflow: pip install . does not run the custom setup.py install hook, so test_activelearning/test_activeexploration failed collection in CI with ModuleNotFoundError: maxvolpy.

Checklist

• Code is well-documented.
• All tests have been run and passed.
• Relevant documentation has been updated if necessary.

License Agreement

By submitting this pull request, I agree that:

• The code submitted in this pull request will be distributed under the Academic Software License (free for academic non-commercial use, not free for commercial use), see LICENSE.md for more details.
• The copyright for the code, including the submitted code, remains with Ruhr University Bochum. Ruhr University Bochum retains the right to transfer or modify the copyright.

---

Thank you for your contribution!

[pmrv]

There's some drive-by fixes for the CI too. Not sure if those were only important for my repo or also here.

[pmrv]

Pull Request Template

Thank you for contributing to our project! Please review the checklist and fill out the details below.

Description of Changes

Widens the pandas requirement in setup.py from pandas<=2.0 to pandas>=2,<4, covering the whole pandas 2.x and 3.x series.

The codebase was audited for pandas 3 blockers; none were found:

No use of APIs removed in pandas 2/3 (DataFrame.append, applymap, Series.iteritems, delim_whitespace, .ix).
No chained assignment — all DataFrame writes go through df[col] = ... or df.loc[mask, col] = ..., so pandas 3's enforced Copy-on-Write does not change behavior.
All .map() calls operate on Series/Index objects, so nothing depends on DataFrame.map (introduced in 2.1), keeping the 2.0 lower bound valid.
Legacy pickled reference DataFrames (tests/*.pckl.gzip, [data/exmpl_df.pckl.gzip](https://github.com/pmrv/python-ace/blob/claude/sleepy-dijkstra-luopd2/data/exmpl_df.pckl.gzip)) load correctly under pandas 3, with object dtype preserved.
The existing numpy<=1.26.4 pin satisfies pandas 3's numpy ≥1.26 requirement.

Also installs the vendored lib/maxvolpy explicitly in the test workflow: pip install . does not run the custom setup.py install hook, so test_activelearning/test_activeexploration failed collection in CI with ModuleNotFoundError: maxvolpy.

Checklist

• Code is well-documented.
• All tests have been run and passed.
• Relevant documentation has been updated if necessary.

License Agreement

By submitting this pull request, I agree that:

• The code submitted in this pull request will be distributed under the Academic Software License (free for academic non-commercial use, not free for commercial use), see LICENSE.md for more details.
• The copyright for the code, including the submitted code, remains with Ruhr University Bochum. Ruhr University Bochum retains the right to transfer or modify the copyright.

---

Thank you for your contribution!

[pmrv]

There's some drive-by fixes for the CI too. Not sure if those were only important for my repo or also here.