papyri
This is a pre-release version (latest). Go to latest (2.4.4)
{ } Raw JSON

bundles / numpy latest / numpy / rec / fromstring

function

numpy.rec:fromstring

source: build-install/usr/lib/python3.14/site-packages/numpy/_core/records.py :752

Signature

def   fromstring ( datastring ,  dtype = None ,  shape = None ,  offset = 0 ,  formats = None ,  names = None ,  titles = None ,  aligned = False ,  byteorder = None )

Summary

Create a record array from binary data

Extended Summary

Note that despite the name of this function it does not accept str instances.

Parameters

datastring : bytes-like

Buffer of binary data

dtype : data-type, optional

Valid dtype for all arrays

shape : int or tuple of ints, optional

Shape of each array.

offset : int, optional

Position in the buffer to start reading from.

formats, names, titles, aligned, byteorder

If dtype is None, these arguments are passed to numpy.format_parser to construct a dtype. See that function for detailed documentation.

Returns

: np.recarray

Record array view into the data in datastring. This will be readonly if datastring is readonly.

Examples

a = b'\x01\x02\x03abc'
✓
np.rec.fromstring(a, dtype='u1,u1,u1,S3')
✗
grades_dtype = [('Name', (np.str_, 10)), ('Marks', np.float64),
                ('GradeLevel', np.int32)]
grades_array = np.array([('Sam', 33.3, 3), ('Mike', 44.4, 5),
                        ('Aadi', 66.6, 6)], dtype=grades_dtype)
✓
np.rec.fromstring(grades_array.tobytes(), dtype=grades_dtype)
✗
s = '\x01\x02\x03abc'
np.rec.fromstring(s, dtype='u1,u1,u1,S3')
✓

See also

numpy.frombuffer

Aliases

  • numpy.rec.fromstring