cf.Data.dumpd

Data.dumpd()[source]

Return a serialization of the data array.

The serialization may be used to reconstruct the data array as it was at the time of the serialization creation.

See also

loadd, loads

Returns
dict

The serialization.

Examples:

>>> d = cf.Data([[1, 2, 3]], 'm')
>>> d.dumpd()
{'Partitions': [{'location': [(0, 1), (0, 3)],
                 'subarray': array([[1, 2, 3]])}],
 'units': 'm',
 '_axes': ['dim0', 'dim1'],
 '_pmshape': (),
 'dtype': dtype('int64'),
 'shape': (1, 3)}

>>> d.flip(1)
>>> d.transpose()
>>> d.Units *= 1000
>>> d.dumpd()
{'Partitions': [{'units': 'm',
                 'axes': ['dim0', 'dim1'],
                 'location': [(0, 3), (0, 1)],
                 'subarray': array([[1, 2, 3]])}],
` 'units': '1000 m',
 '_axes': ['dim1', 'dim0'],
 '_flip': ['dim1'],
 '_pmshape': (),
 'dtype': dtype('int64'),
 'shape': (3, 1)}

>>> d.dumpd()
{'Partitions': [{'units': 'm',
                 'location': [(0, 1), (0, 3)],
                 'subarray': array([[1, 2, 3]])}],
 'units': '10000 m',
 '_axes': ['dim0', 'dim1'],
 '_flip': ['dim1'],
 '_pmshape': (),
 'dtype': dtype('int64'),
 'shape': (1, 3)}

>>> e = cf.Data(loadd=d.dumpd())
>>> e.equals(d)
True