easy_dtype(ndtype, names=None, defaultfmt='f%i', **validationargs)

The function processes the input dtype and matches it with the given names.

Parameters

ndtype : var

Definition of the dtype. Can be any string or dictionary recognized by the :None:None:`np.dtype` function, or a sequence of types.

names : str or sequence, optional

Sequence of strings to use as field names for a structured dtype. For convenience, :None:None:`names` can be a string of a comma-separated list of names.

defaultfmt : str, optional

Format string used to define missing names, such as "f%i" (default) or "fields_%02i" .

validationargs : optional

A series of optional arguments used to initialize a NameValidator .

Convenience function to create a :None:None:`np.dtype` object.

Examples

>>> np.lib._iotools.easy_dtype(float)
dtype('float64')

>>> np.lib._iotools.easy_dtype("i4, f8")
dtype([('f0', '<i4'), ('f1', '<f8')])

>>> np.lib._iotools.easy_dtype("i4, f8", defaultfmt="field_%03i")
dtype([('field_000', '<i4'), ('field_001', '<f8')])

>>> np.lib._iotools.easy_dtype((int, float, float), names="a,b,c")
dtype([('a', '<i8'), ('b', '<f8'), ('c', '<f8')])

>>> np.lib._iotools.easy_dtype(float, names="a,b,c")
dtype([('a', '<f8'), ('b', '<f8'), ('c', '<f8')])

See :

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GitHub : /numpy/lib/_iotools.py#822
type: <class 'function'>
Commit: