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.. _arrays:
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*************
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Array objects
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*************
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.. currentmodule:: mxnet.np
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``np`` provides an N-dimensional array type, the :ref:`ndarray
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<arrays.ndarray>`, which describes a collection of "items" of the same
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type. The items can be :ref:`indexed <arrays.indexing>` using for
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example N integers.
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All ndarrays are :term:`homogenous`: every item takes up the same size
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block of memory, and all blocks are interpreted in exactly the same
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way. How each item in the array is to be interpreted is specified by a
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separate :ref:`data-type object <arrays.dtypes>`, one of which is associated
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with every array. In addition to basic types (integers, floats,
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*etc.*), the data type objects can also represent data structures.
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An item extracted from an array, *e.g.*, by indexing, is represented
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by a Python object whose type is one of the :ref:`array scalar types
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<arrays.scalars>` built in NumPy. The array scalars allow easy manipulation
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of also more complicated arrangements of data.
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.. note::
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A major difference to ``numpy.ndarray`` is that ``mxnet.np.ndarray``'s scalar
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is a 0-dim ndarray instead of a scalar object (``numpy.generic``).
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.. toctree::
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:maxdepth: 2
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arrays.ndarray
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arrays.scalars
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arrays.dtypes
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arrays.indexing
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arrays.nditer
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arrays.classes
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maskedarray
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arrays.interface
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arrays.datetime
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