`numpy.rec:fromarrays`

source: build-install/usr/lib/python3.14/site-packages/numpy/_core/records.py:568

Signature

def fromarrays(arrayList, dtype = None, shape = None, formats = None, names = None, titles = None, aligned = False, byteorder = None)

Summary

Create a record array from a (flat) list of arrays

Parameters

arrayList : list or tuple: List of array-like objects (such as lists, tuples, and ndarrays).
dtype : data-type, optional: valid dtype for all arrays
shape : int or tuple of ints, optional: Shape of the resulting array. If not provided, inferred from arrayList[0].
formats, names, titles, aligned, byteorder: If dtype is None, these arguments are passed to numpy.rec.format_parser to construct a dtype. See that function for detailed documentation.

Returns

: np.recarray: Record array consisting of given arrayList columns.

Examples

x1=np.array([1,2,3,4])
x2=np.array(['a','dd','xyz','12'])
x3=np.array([1.1,2,3,4])
r = np.rec.fromarrays([x1,x2,x3],names='a,b,c')

✓

print(r[1])

✗

(2, 'dd', 2.0)

x1[1]=34
r.a

✓

array([1, 2, 3, 4])

x1 = np.array([1, 2, 3, 4])
x2 = np.array(['a', 'dd', 'xyz', '12'])
x3 = np.array([1.1, 2, 3,4])
r = np.rec.fromarrays(
    [x1, x2, x3],
    dtype=np.dtype([('a', np.int32), ('b', 'S3'), ('c', np.float32)]))
r

✓

rec.array([(1, b'a', 1.1), (2, b'dd', 2. ), (3, b'xyz', 3. ),
           (4, b'12', 4. )],
          dtype=[('a', '<i4'), ('b', 'S3'), ('c', '<f4')])

Aliases

numpy.rec.fromarrays