class numpy.format_parser(formats, names, titles, aligned=False, byteorder=None)[source]
Class to convert formats, names, titles description to a dtype.
After constructing the format_parser object, the dtype attribute is the converted data-type: dtype = format_parser(formats, names, titles).dtype
Parameters: |
formats : str or list of str The format description, either specified as a string with comma-separated format descriptions in the form names : str or list/tuple of str The field names, either specified as a comma-separated string in the form titles : sequence Sequence of title strings. An empty list can be used to leave titles out. aligned : bool, optional If True, align the fields by padding as the C-compiler would. Default is False. byteorder : str, optional If specified, all the fields will be changed to the provided byte-order. Otherwise, the default byte-order is used. For all available string specifiers, see |
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See also
>>> np.format_parser(['f8', 'i4', 'a5'], ['col1', 'col2', 'col3'], ... ['T1', 'T2', 'T3']).dtype dtype([(('T1', 'col1'), '<f8'), (('T2', 'col2'), '<i4'), (('T3', 'col3'), '|S5')])
names
and/or titles
can be empty lists. If titles
is an empty list, titles will simply not appear. If names
is empty, default field names will be used.
>>> np.format_parser(['f8', 'i4', 'a5'], ['col1', 'col2', 'col3'], ... []).dtype dtype([('col1', '<f8'), ('col2', '<i4'), ('col3', '|S5')]) >>> np.format_parser(['f8', 'i4', 'a5'], [], []).dtype dtype([('f0', '<f8'), ('f1', '<i4'), ('f2', '|S5')])
dtype | (dtype) The converted data-type. |
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Licensed under the NumPy License.
https://docs.scipy.org/doc/numpy-1.10.1/reference/generated/numpy.format_parser.html