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authorGiannis Zapantis <59338244+tech-gian@users.noreply.github.com>2021-04-05 17:54:53 +0300
committerGitHub <noreply@github.com>2021-04-05 17:54:53 +0300
commita0dc48ff70fa4f8012c86d23b8de3200af3e5ae4 (patch)
tree183d0f286dccc2ab7f9b76b6dfbe2d7abbcf1c24
parent975378b8051d35ab36b68446966422281874d8da (diff)
downloadnumpy-a0dc48ff70fa4f8012c86d23b8de3200af3e5ae4.tar.gz
Update, removed unnecessary things
-rw-r--r--doc/source/user/basics.types.rst13
1 files changed, 2 insertions, 11 deletions
diff --git a/doc/source/user/basics.types.rst b/doc/source/user/basics.types.rst
index a2f78398d..0dc2df9bc 100644
--- a/doc/source/user/basics.types.rst
+++ b/doc/source/user/basics.types.rst
@@ -96,16 +96,7 @@ The primitive types supported are tied closely to those in C:
Since many of these have platform-dependent definitions, a set of fixed-size
-aliases are provided to this site: :doc:`../reference/arrays.scalars`
-under the "Sized aliases" section.
-
-In the site above, are listed some types of the table above such as `byte`,
-`short`, `intc` and `int_`. The corresponding unsigned and signed types
-of these are written too.
-
-'float' and 'complex' aliases are listed, as well. The functionality
-for each of these types is descripted in the table above, as well as
-examples with similarities with ``C types``.
+aliases are provided (See :ref:`sized-aliases`).
@@ -118,7 +109,7 @@ having unique characteristics. Once you have imported NumPy using
the dtypes are available as ``np.bool_``, ``np.float32``, etc.
-Advanced types, not listed in the site above, are explored in
+Advanced types, not listed above, are explored in
section :ref:`structured_arrays`.
There are 5 basic numerical types representing booleans (bool), integers (int),