fromstring(datastring, dtype=None, shape=None, offset=0, formats=None, names=None, titles=None, aligned=False, byteorder=None)
Note that despite the name of this function it does not accept :None:None:`str` instances.
Buffer of binary data
Valid dtype for all arrays
Shape of each array.
Position in the buffer to start reading from.
If dtype
is None
, these arguments are passed to numpy.format_parser
to construct a dtype. See that function for detailed documentation.
Record array view into the data in datastring. This will be readonly if :None:None:`datastring` is readonly.
Create a record array from binary data
>>> a = b'\x01\x02\x03abc'
... np.core.records.fromstring(a, dtype='u1,u1,u1,S3') rec.array([(1, 2, 3, b'abc')], dtype=[('f0', 'u1'), ('f1', 'u1'), ('f2', 'u1'), ('f3', 'S3')])
>>> grades_dtype = [('Name', (np.str_, 10)), ('Marks', np.float64),This example is valid syntax, but raise an exception at execution
... ('GradeLevel', np.int32)]
... grades_array = np.array([('Sam', 33.3, 3), ('Mike', 44.4, 5),
... ('Aadi', 66.6, 6)], dtype=grades_dtype)
... np.core.records.fromstring(grades_array.tobytes(), dtype=grades_dtype) rec.array([('Sam', 33.3, 3), ('Mike', 44.4, 5), ('Aadi', 66.6, 6)], dtype=[('Name', '<U10'), ('Marks', '<f8'), ('GradeLevel', '<i4')])
>>> s = '\x01\x02\x03abc'See :
... np.core.records.fromstring(s, dtype='u1,u1,u1,S3') Traceback (most recent call last) ... TypeError: a bytes-like object is required, not 'str'
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