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authorGabor Kovacs <kgabor79@gmail.com>2014-08-23 17:50:10 +0100
committerCharles Harris <charlesr.harris@gmail.com>2015-06-21 15:44:25 -0600
commit4e5545f0bcc654fb0c6752dcf72120e6e7340d28 (patch)
tree83775e28968635ac9588c021280469599b0a520b /numpy/add_newdocs.py
parente3b2bc0b0f31482cd112660393245116ae55ecbf (diff)
downloadnumpy-4e5545f0bcc654fb0c6752dcf72120e6e7340d28.tar.gz
DOC: Update docs.
Update docs for boolean array indexing and nonzero order. Add links to row-major and column-major terms where they appear. Closes #3177
Diffstat (limited to 'numpy/add_newdocs.py')
-rw-r--r--numpy/add_newdocs.py27
1 files changed, 14 insertions, 13 deletions
diff --git a/numpy/add_newdocs.py b/numpy/add_newdocs.py
index 11a2688e5..75f88a85f 100644
--- a/numpy/add_newdocs.py
+++ b/numpy/add_newdocs.py
@@ -28,9 +28,9 @@ add_newdoc('numpy.core', 'flatiter',
It allows iterating over the array as if it were a 1-D array,
either in a for-loop or by calling its `next` method.
- Iteration is done in C-contiguous style, with the last index varying the
- fastest. The iterator can also be indexed using basic slicing or
- advanced indexing.
+ Iteration is done in row-major, C-style order (the last
+ index varying the fastest). The iterator can also be indexed using
+ basic slicing or advanced indexing.
See Also
--------
@@ -745,8 +745,9 @@ add_newdoc('numpy.core.multiarray', 'empty',
dtype : data-type, optional
Desired output data-type.
order : {'C', 'F'}, optional
- Whether to store multi-dimensional data in C (row-major) or
- Fortran (column-major) order in memory.
+ Whether to store multi-dimensional data in row-major
+ (C-style) or column-major (Fortran-style) order in
+ memory.
Returns
-------
@@ -2419,7 +2420,7 @@ add_newdoc('numpy.core.multiarray', 'ndarray',
strides : tuple of ints, optional
Strides of data in memory.
order : {'C', 'F'}, optional
- Row-major or column-major order.
+ Row-major (C-style) or column-major (Fortran-style) order.
Attributes
----------
@@ -3564,9 +3565,9 @@ add_newdoc('numpy.core.multiarray', 'ndarray', ('flatten',
Parameters
----------
order : {'C', 'F', 'A'}, optional
- Whether to flatten in C (row-major), Fortran (column-major) order,
- or preserve the C/Fortran ordering from `a`.
- The default is 'C'.
+ Whether to flatten in row-major (C-style) or
+ column-major (Fortran-style) order or preserve the
+ C/Fortran ordering from `a`. The default is 'C'.
Returns
-------
@@ -5144,8 +5145,9 @@ add_newdoc('numpy.core.multiarray', 'ravel_multi_index',
In 'clip' mode, a negative index which would normally
wrap will clip to 0 instead.
order : {'C', 'F'}, optional
- Determines whether the multi-index should be viewed as indexing in
- C (row-major) order or FORTRAN (column-major) order.
+ Determines whether the multi-index should be viewed as
+ indexing in row-major (C-style) or column-major
+ (Fortran-style) order.
Returns
-------
@@ -5194,9 +5196,8 @@ add_newdoc('numpy.core.multiarray', 'unravel_index',
The shape of the array to use for unraveling ``indices``.
order : {'C', 'F'}, optional
.. versionadded:: 1.6.0
-
Determines whether the indices should be viewed as indexing in
- C (row-major) order or FORTRAN (column-major) order.
+ row-major (C-style) or column-major (Fortran-style) order.
Returns
-------