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@@ -138,12 +138,6 @@ like numpy and uncertainties if they are installed **Pandas integration**: Thanks to `Pandas Extension Types`_ it is now possible to use Pint with Pandas. Operations on DataFrames and between columns are units aware, providing even more convenience for users of Pandas DataFrames. For full details, see the `pint-pandas Jupyter notebook`_. -When you choose to use a NumPy_ ndarray, its methods and -ufuncs are supported including automatic conversion of units. For example -`numpy.arccos(q)` will require a dimensionless `q` and the units of the output -quantity will be radian. - - Pint is maintained by a community of scientists, programmers and enthusiasts around the world. See AUTHORS_ for a complete list. |