`numpy.rec:fromrecords`

Signature

def fromrecords(recList, dtype = None, shape = None, formats = None, names = None, titles = None, aligned = False, byteorder = None)

Create a recarray from a list of records in text form.

recList : sequence

data in the same field may be heterogeneous - they will be promoted to the highest data type.

dtype : data-type, optional

valid dtype for all arrays

shape : int or tuple of ints, optional

shape of each array.

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.

If both formats and dtype are None, then this will auto-detect formats. Use list of tuples rather than list of lists for faster processing.

r=np.rec.fromrecords([(456,'dbe',1.2),(2,'de',1.3)],
names='col1,col2,col3')
print(r[0])
r.col1
r.col2
import pickle
pickle.loads(pickle.dumps(r))

✓

rec.array([(456, 'dbe', 1.2), (  2, 'de', 1.3)],
          dtype=[('col1', '<i8'), ('col2', '<U3'), ('col3', '<f8')])