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| author | Jules Chéron <43635101+jules-ch@users.noreply.github.com> | 2021-07-19 15:17:19 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-07-19 15:17:19 +0200 |
| commit | abe384033bffa7627387eeaec297f0a75777b65d (patch) | |
| tree | 8740f90328f8169d79282c5c630a3c8beb5ca692 /README.rst | |
| parent | 9f21402b54167d330ec417979228fe9624dbd968 (diff) | |
| parent | 85c7bf700df31680327a1c112af795ae48c28882 (diff) | |
| download | pint-abe384033bffa7627387eeaec297f0a75777b65d.tar.gz | |
Merge pull request #1353 from Helveg/patch-2
Removed duplicate numpy integration note
Diffstat (limited to 'README.rst')
| -rw-r--r-- | README.rst | 6 |
1 files changed, 0 insertions, 6 deletions
@@ -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. |