class cf.FullArray(fill_value=None, dtype=None, shape=None, attributes=None, source=None, copy=True)[source]

A array filled with a given value.

The array may be empty or all missing values.

Added in version 3.14.0.

Initialisation

Parameters:
fill_valuescalar, optional

The fill value for the array. May be set to cf.masked or np.ma.masked.

dtype: numpy.dtype

The data type of the array.

shape: tuple

The array dimension sizes.

attributes: dict or None, optional

Provide netCDF attributes for the data as a dictionary of key/value pairs.

source: optional

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

All other parameters, apart from copy, are ignored and their values are instead inferred from source by assuming that it has the FullArray 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 FullArray instance then cf.FullArray(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

Attributes

array

Return an independent numpy array containing the data.

astype

Cast the data to a specified type.

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.

original_shape

The shape of the data in the file.

reference_shape

The shape of the data in the file with added dimensions.

Full value

Methods

Units

Methods

Attributes

Units

The Units object containing the units of the array.

Miscellaneous

copy

Return a deep copy of the array.

Special

Docstring substitutions

Methods