Pint-pandas

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- Nothing added yet

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- Fix PintType._get_common_dtype (added via 137) to check compatibility of all `PintType`s in `dtypes`

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- Support for pandas version 3.0
- Fix pandas eval function (needs pandas>=3 to work) 137

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- Fix dequantify duplicate column failure 202
- Fix astype issue 196
- Support for `__array_ufunc__` and unary ops. 160
- Support for NumPy verson 2
- Minimum Pint version is 0.24
- Minimum Pandas version is 2.2

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- ReadTheDocs Documentation created.
- Support for Pandas version 2.1.0. 196
- Support for dtype-preserving `PintArray.map` for both Pandas 2.0.2 and Pandas 2.1. 196
- Support for <NA> values in columns with integer magnitudes
- Support for magnitudes of any type, such as complex128 or tuples 146
- Support for pandas 2.0, allowing `.cumsum, .cummax, .cummin` methods for `Series` and `DataFrame`. 186
- Support for unit registries with `force_ndarray_like = True`. 165
- A DataFrame/Series.pint.convert_object_dtype() function has been added to create PintArrays from Series of quantities.
- Minimum Pint version is 0.21
- Minimum Pandas version is 2.0

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- Support for <NA> values in columns with integer magnitudes
- Support for magnitudes of any type, such as complex128 or tuples 146
- Support for Pint 0.21 168, 179
- Cast to `numpy.ndarray` in `PintArray._reduce` if needed to use `nanops` functions
- Minimum Pint version is 0.21
- Minimum Pandas version is 1.6