Moved numpy-docs under doc/ in the main Numpy trunk.

1 files changed, 0 insertions, 46 deletions

diff --git a/trunk/source/reference/arrays.rst b/trunk/source/reference/arrays.rst
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-.. _arrays:
-
-*************
-Array objects
-*************
-
-.. currentmodule:: numpy
-
-NumPy provides an N-dimensional array type, the :ref:`ndarray
-<arrays.ndarray>`, which describes a collection of "items" of the same
-type. The items can be :ref:`indexed <arrays.indexing>` using for
-example N integers.
-
-All ndarrays are :term:`homogenous`: every item takes up the same size
-block of memory, and all blocks are interpreted in exactly the same
-way. How each item in the array is to be interpreted is specified by a
-separate :ref:`data-type object <arrays.dtypes>`, one of which is associated
-with every array. In addition to basic types (integers, floats,
-*etc.*), the data type objects can also represent data structures.
-
-An item extracted from an array, *e.g.*, by indexing, is represented
-by a Python object whose type is one of the :ref:`array scalar types
-<arrays.scalars>` built in Numpy. The array scalars allow easy manipulation
-of also more complicated arrangements of data.
-
-.. figure:: figures/threefundamental.png
-
-   **Figure**
-   Conceptual diagram showing the relationship between the three
-   fundamental objects used to describe the data in an array: 1) the
-   ndarray itself, 2) the data-type object that describes the layout
-   of a single fixed-size element of the array, 3) the array-scalar
-   Python object that is returned when a single element of the array
-   is accessed.
-
-
-
-.. toctree::
-   :maxdepth: 2
-
-   arrays.ndarray
-   arrays.scalars
-   arrays.dtypes
-   arrays.indexing
-   arrays.classes
-   arrays.interface