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| author | mattip <matti.picus@gmail.com> | 2018-04-13 14:55:42 +0300 |
|---|---|---|
| committer | mattip <matti.picus@gmail.com> | 2018-04-13 14:55:42 +0300 |
| commit | 1486f3756f0399c4a6ae2c42cb748669f1ff4dbe (patch) | |
| tree | bcf2f6cce371aa428a52663ad21e1a0bbba5eddd /numpy/doc/glossary.py | |
| parent | ccee0f3d1da28d550f419401967e80c307c55166 (diff) | |
| download | numpy-1486f3756f0399c4a6ae2c42cb748669f1ff4dbe.tar.gz | |
document a few more missing glossary terms
Diffstat (limited to 'numpy/doc/glossary.py')
| -rw-r--r-- | numpy/doc/glossary.py | 8 |
1 files changed, 8 insertions, 0 deletions
diff --git a/numpy/doc/glossary.py b/numpy/doc/glossary.py index 88022a262..0e1df495b 100644 --- a/numpy/doc/glossary.py +++ b/numpy/doc/glossary.py @@ -157,6 +157,11 @@ Glossary For more information on dictionaries, read the `Python tutorial <http://docs.python.org/tut>`_. + field + In a :term:`structured data type`, each sub-type is called a `field`. + The `field` has a name (a string), a type (any valid :term:`dtype`, and + an optional `title`. See :ref:`arrays.dtypes` + Fortran order See `column-major` @@ -368,6 +373,9 @@ Glossary >>> x[:, 1] array([2, 4]) + structure + See :term:`structured data type` + structured data type A data type composed of other datatypes |