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| author | Pierre de Buyl <pdebuyl@pdebuyl.be> | 2016-09-05 22:24:34 +0200 |
|---|---|---|
| committer | Pierre de Buyl <pdebuyl@pdebuyl.be> | 2016-09-06 11:20:19 +0200 |
| commit | 773e3cad9a71cb9a7849d8e251fb8a99ab35d06b (patch) | |
| tree | 793dab9410558a21622d6e6b948d0491997cc54c /doc/source/reference/arrays.ndarray.rst | |
| parent | adc155e12648256eea754d1d53e8322e3ac19549 (diff) | |
| download | numpy-773e3cad9a71cb9a7849d8e251fb8a99ab35d06b.tar.gz | |
change all non-code instances of Numpy to NumPy
Instances remain for NumpyVersion and Numpy.rec.fromarrays that are
references to code.
Release notes were left unchanged.
see issue #7986
Diffstat (limited to 'doc/source/reference/arrays.ndarray.rst')
| -rw-r--r-- | doc/source/reference/arrays.ndarray.rst | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/doc/source/reference/arrays.ndarray.rst b/doc/source/reference/arrays.ndarray.rst index b68e40e3f..bd6821b62 100644 --- a/doc/source/reference/arrays.ndarray.rst +++ b/doc/source/reference/arrays.ndarray.rst @@ -103,7 +103,7 @@ the bytes are interpreted is defined by the :ref:`data-type object A segment of memory is inherently 1-dimensional, and there are many different schemes for arranging the items of an *N*-dimensional array -in a 1-dimensional block. Numpy is flexible, and :class:`ndarray` +in a 1-dimensional block. NumPy is flexible, and :class:`ndarray` objects can accommodate any *strided indexing scheme*. In a strided scheme, the N-dimensional index :math:`(n_0, n_1, ..., n_{N-1})` corresponds to the offset (in bytes): @@ -155,7 +155,7 @@ base offset itself is a multiple of `self.itemsize`. .. note:: Points (1) and (2) are not yet applied by default. Beginning with - Numpy 1.8.0, they are applied consistently only if the environment + NumPy 1.8.0, they are applied consistently only if the environment variable ``NPY_RELAXED_STRIDES_CHECKING=1`` was defined when NumPy was built. Eventually this will become the default. @@ -440,7 +440,7 @@ Each of the arithmetic operations (``+``, ``-``, ``*``, ``/``, ``//``, ``%``, ``divmod()``, ``**`` or ``pow()``, ``<<``, ``>>``, ``&``, ``^``, ``|``, ``~``) and the comparisons (``==``, ``<``, ``>``, ``<=``, ``>=``, ``!=``) is equivalent to the corresponding -:term:`universal function` (or :term:`ufunc` for short) in Numpy. For +:term:`universal function` (or :term:`ufunc` for short) in NumPy. For more information, see the section on :ref:`Universal Functions <ufuncs>`. @@ -560,7 +560,7 @@ Matrix Multiplication: .. note:: Matrix operators ``@`` and ``@=`` were introduced in Python 3.5 - following PEP465. Numpy 1.10 has a preliminary implementation of ``@`` + following PEP465. NumPy 1.10 has a preliminary implementation of ``@`` for testing purposes. Further documentation can be found in the :func:`matmul` documentation. |