flatten_dtype(ndtype, flatten_base=False)
Note that the field names are lost.
The datatype to collapse
If True, transform a field with a shape into several fields. Default is False.
Unpack a structured data-type by collapsing nested fields and/or fields with a shape.
>>> dt = np.dtype([('name', 'S4'), ('x', float), ('y', float),
... ('block', int, (2, 3))])
... np.lib._iotools.flatten_dtype(dt) [dtype('S4'), dtype('float64'), dtype('float64'), dtype('int64')]
>>> np.lib._iotools.flatten_dtype(dt, flatten_base=True) [dtype('S4'), dtype('float64'), dtype('float64'), dtype('int64'), dtype('int64'), dtype('int64'), dtype('int64'), dtype('int64'), dtype('int64')]See :
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