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.