cfdm.NumpyArray


class cfdm.NumpyArray(array=None, source=None, copy=True)[source]

Bases: cfdm.data.mixin.arraymixin.ArrayMixin, cfdm.core.data.numpyarray.NumpyArray

An underlying numpy array.

New in version (cfdm): 1.7.0

Initialisation

Parameters
array: numpy.ndarray

The numpy array.

source: optional

Convert source, which can be any type of object, to a NumpyArray instance.

All other parameters, apart from copy, are ignored and their values are instead inferred from source by assuming that it has the NumpyArray API. Any parameters that can not be retrieved from source in this way are assumed to have their default value.

Note that if x is also a NumpyArray instance then cfdm.NumpyArray(source=x) is equivalent to x.copy().

copy: bool, optional

If True (the default) then deep copy the input parameters prior to initialisation. By default the parameters are not deep copied.

Inspection

Methods

get_compression_type

Returns the array’s compression type.

get_subspace

Return a subspace, defined by indices, of a numpy array.

Attributes

array

Return an independent numpy array containing the data.

dtype

Data-type of the data elements.

ndim

Number of array dimensions.

shape

Tuple of array dimension sizes.

size

Number of elements in the array.

Units

Methods

get_calendar

The calendar of the array.

get_units

The units of the array.

Miscellaneous

copy

Return a deep copy of the array.

to_memory

Bring data on disk into memory.

cfdm.NumpyArray.get_filename

cfdm.NumpyArray.get_filenames

Special

__getitem__

Returns a subspace of the array as a numpy array.

Docstring substitutions

Methods

_docstring_special_substitutions

Return the special docstring substitutions.

_docstring_substitutions

Returns the substitutions that apply to methods of the class.

_docstring_package_depth

Returns the class {{package}} substitutions package depth.

_docstring_method_exclusions

Returns method names excluded in the class substitutions.