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| author | Marta Lemanczyk <lemanczyk.marta@gmail.com> | 2021-05-13 19:48:38 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-05-13 19:48:38 +0200 |
| commit | fb4ea911607a81ef6633b857122e34229075705e (patch) | |
| tree | 7e4683a126e79a789dbc7eb36eed2cc0fa1982b5 /doc/source/glossary.rst | |
| parent | d18083bbf97e9b8cf353a046517d08686b8aaf03 (diff) | |
| download | numpy-fb4ea911607a81ef6633b857122e34229075705e.tar.gz | |
DOC: Improve description of array scalar in glossary (#18965)
Distinction of array scalars and 0-dimension arrays. See issue #17744.
Co-authored-by: Jasmin Classen <39028086+jasmincl@users.noreply.github.com>
Diffstat (limited to 'doc/source/glossary.rst')
| -rw-r--r-- | doc/source/glossary.rst | 7 |
1 files changed, 4 insertions, 3 deletions
diff --git a/doc/source/glossary.rst b/doc/source/glossary.rst index 57e3bcf92..aa2dc13df 100644 --- a/doc/source/glossary.rst +++ b/doc/source/glossary.rst @@ -166,9 +166,10 @@ Glossary array scalar - For uniformity in handling operands, NumPy treats - a :doc:`scalar <reference/arrays.scalars>` as an array of zero - dimension. + An :doc:`array scalar <reference/arrays.scalars>` is an instance of the types/classes float32, float64, + etc.. For uniformity in handling operands, NumPy treats a scalar as + an array of zero dimension. In contrast, a 0-dimensional array is an :doc:`ndarray <reference/arrays.ndarray>` instance + containing precisely one value. axis |