numpy.rec.fromarrays#

rec.fromarrays(arrayList,dtype=None,shape=None,formats=None,names=None,titles=None,aligned=False,byteorder=None)[source]#

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

Parameters:

arrayListlist or tuple

List of array-like objects (such as lists, tuples,and ndarrays).

dtypedata-type, optional

valid dtype for all arrays

shapeint or tuple of ints, optional

Shape of the resulting array. If not provided, inferred fromarrayList[0].

formats, names, titles, aligned, byteorder

Ifdtype isNone, these arguments are passed tonumpy.rec.format_parser to construct a dtype. See that function fordetailed documentation.

Returns:

np.recarray

Record array consisting of given arrayList columns.

Examples

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>>>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) # may vary>>>x1[1]=34>>>r.aarray([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)]))>>>rrec.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')])

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