`numpy.rec:fromrecords`

source: /numpy/_core/records.py :663

Signature

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

Summary

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

Parameters

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.

Returns

: np.recarray: record array consisting of given recList rows.

Examples

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))

✓

Aliases

numpy.rec.fromrecords