NDArray API

The multidimensional data array class. This class consists of a set of useful parameters and methods that allow not only to define an array correctly, but also to handle it in a simple way, being able to extract multidimensional slices from it.

Methods

__getitem__	Get a (multidimensional) slice as specified in key.
__setitem__	Set a slice.
copy	Create a copy of an array with same parameters.
iterchunks_info	Iterate over self chunks, providing info on index and special values.
slice	Get a (multidimensional) slice as a new NDArray.
squeeze	Remove the 1's in array's shape.
resize	Change the shape of the array by growing or shrinking one or more dimensions.
tobytes	Returns a buffer with the data contents.

Attributes

ndim	The number of dimensions of this container.
shape	The data shape of this container.
ext_shape	The padded data shape.
chunks	The data chunk shape of this container.
ext_chunks	The padded chunk shape which defines the chunksize in the associated schunk.
blocks	The block shape of this container.
blocksize	The block size (in bytes) for this container.
chunksize	The data chunk size (in bytes) for this container.
schunk	The SChunk reference of the NDArray.
size	The size (in bytes) for this container.

Constructors

asarray	Convert the array to an NDArray.
copy	This is equivalent to NDArray.copy()
empty	Create an empty array.
frombuffer	Create an array out of a buffer.
full	Create an array, with fill_value being used as the default value for uninitialized portions of the array.
uninit	Create an array with uninitialized values.
zeros	Create an array, with zero being used as the default value for uninitialized portions of the array.