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 aNumpyArray
instance thencfdm.NumpyArray(source=x)
is equivalent tox.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.
- array:
Inspection¶
Methods
Returns the array’s compression type. |
|
Return a subspace, defined by indices, of a numpy array. |
Attributes
Return an independent numpy array containing the data. |
|
Data-type of the data elements. |
|
Number of array dimensions. |
|
Tuple of array dimension sizes. |
|
Number of elements in the array. |
Units¶
Methods
The calendar of the array. |
|
The units of the array. |
Miscellaneous¶
Return a deep copy of the array. |
|
Bring data on disk into memory. |
|
|
|
|
Special¶
Returns a subspace of the array as a |
Docstring substitutions¶
Methods
Return the special docstring substitutions. |
|
Returns the substitutions that apply to methods of the class. |
|
Returns the class {{package}} substitutions package depth. |
|
Returns method names excluded in the class substitutions. |