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| author | mattip <matti.picus@gmail.com> | 2019-02-20 23:46:20 +0200 |
|---|---|---|
| committer | mattip <matti.picus@gmail.com> | 2019-02-28 11:43:59 +0200 |
| commit | 62433284d65a3629a199958da2df3a807c60fab4 (patch) | |
| tree | 61a822b3dab1edc78eff9019e61dc5e1dd0e607d /numpy/doc/glossary.py | |
| parent | b9ab1a57b9c7ff9462b8d678bce91274d0ad4d12 (diff) | |
| download | numpy-62433284d65a3629a199958da2df3a807c60fab4.tar.gz | |
DOC: reduce warnings when building, reword, tweak doc building
Diffstat (limited to 'numpy/doc/glossary.py')
| -rw-r--r-- | numpy/doc/glossary.py | 20 |
1 files changed, 19 insertions, 1 deletions
diff --git a/numpy/doc/glossary.py b/numpy/doc/glossary.py index a3707340d..162288b14 100644 --- a/numpy/doc/glossary.py +++ b/numpy/doc/glossary.py @@ -159,7 +159,7 @@ Glossary 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 + The `field` has a name (a string), a type (any valid dtype, and an optional `title`. See :ref:`arrays.dtypes` Fortran order @@ -209,6 +209,9 @@ Glossary Key 1: b Key 2: c + itemsize + The size of the dtype element in bytes. + list A Python container that can hold any number of objects or items. The items do not have to be of the same type, and can even be @@ -377,6 +380,15 @@ Glossary structured data type A data type composed of other datatypes + subarray + A :term:`structured data type` may contain a :term:`ndarray` with its + own dtype and shape. + + title + In addition to field names, structured array fields may have an + associated :ref:`title <titles>` which is an alias to the name and is + commonly used for plotting. + tuple A sequence that may contain a variable number of types of any kind. A tuple is immutable, i.e., once constructed it cannot be @@ -416,6 +428,12 @@ Glossary Universal function. A fast element-wise array operation. Examples include ``add``, ``sin`` and ``logical_or``. + vectorized + A loop-based function that operates on data with fixed strides. + Compilers know how to take advantage of well-constructed loops and + match the data to specialized hardware that can operate on a number + of operands in parallel. + view An array that does not own its data, but refers to another array's data instead. For example, we may create a view that only shows |