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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.scalars.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.scalars.rst')
| -rw-r--r-- | doc/source/reference/arrays.scalars.rst | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/doc/source/reference/arrays.scalars.rst b/doc/source/reference/arrays.scalars.rst index f8fad0095..4acaf1b3b 100644 --- a/doc/source/reference/arrays.scalars.rst +++ b/doc/source/reference/arrays.scalars.rst @@ -94,7 +94,7 @@ Python Boolean scalar. :class:`int` built-in under Python 3, because type :class:`int` is no longer a fixed-width integer type. -.. tip:: The default data type in Numpy is :class:`float_`. +.. tip:: The default data type in NumPy is :class:`float_`. In the tables below, ``platform?`` means that the type may not be available on all platforms. Compatibility with different C or Python @@ -288,4 +288,4 @@ the built-in scalar types): One way is to simply subclass the a degree, but internally certain behaviors are fixed by the data type of the array. To fully customize the data type of an array you need to define a new data-type, and register it with NumPy. Such new types can only -be defined in C, using the :ref:`Numpy C-API <c-api>`. +be defined in C, using the :ref:`NumPy C-API <c-api>`. |