memilio.simulation incompatible with pandas 3 #1483
Description
Bug description
When running the memilio.simulation unittests with pandas3.0, I get four parallel errors like this one:
======================================================================
ERROR: test_compare_with_cpp (test_osecir.Test_osecir_integration.test_compare_with_cpp)
Tests the correctness of the python bindings. The results of a simulation
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Traceback (most recent call last):
File ".../.venv/lib/python3.12/site-packages/pandas/core/indexes/base.py", line 3641, in get_loc
return self._engine.get_loc(casted_key)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pandas/_libs/index.pyx", line 168, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 176, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 578, in pandas._libs.index.StringObjectEngine._check_type
KeyError: 1
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File ".../pycode/memilio-simulation/tests/test_osecir.py", line 149, in test_compare_with_cpp
timestep[index_compartment + 1],
~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
File ".../.venv/lib/python3.12/site-packages/pandas/core/series.py", line 959, in __getitem__
return self._get_value(key)
^^^^^^^^^^^^^^^^^^^^
File ".../.venv/lib/python3.12/site-packages/pandas/core/series.py", line 1046, in _get_value
loc = self.index.get_loc(label)
^^^^^^^^^^^^^^^^^^^^^^^^^
File ".../.venv/lib/python3.12/site-packages/pandas/core/indexes/base.py", line 3648, in get_loc
raise KeyError(key) from err
KeyError: 1
When using pandas 2.3.3, I get the corresponding deprecation warnings:
.............................../.../pycode/memilio-simulation/tests/test_osecir.py:149: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
Version
Linux
To reproduce
Run the memilio.simulation unittests using pandas 3.
Relevant log output
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Checklist
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