numpy.core.records.fromfile#

core.records.fromfile(fd, dtype=None, shape=None, offset=0, formats=None, names=None, titles=None, aligned=False, byteorder=None)[source]#

Create an array from binary file data

Parameters:

fdstr or file type: If file is a string or a path-like object then that file is opened, else it is assumed to be a file object. The file object must support random access (i.e. it must have tell and seek methods).
dtypedata-type, optional: valid dtype for all arrays
shapeint or tuple of ints, optional: shape of each array.
offsetint, optional: Position in the file 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 consisting of data enclosed in file.

Examples

>>> from tempfile import TemporaryFile
>>> a = np.empty(10,dtype='f8,i4,a5')
>>> a[5] = (0.5,10,'abcde')
>>>
>>> fd=TemporaryFile()
>>> a = a.newbyteorder('<')
>>> a.tofile(fd)
>>>
>>> _ = fd.seek(0)
>>> r=np.core.records.fromfile(fd, formats='f8,i4,a5', shape=10,
... byteorder='<')
>>> print(r[5])
(0.5, 10, 'abcde')
>>> r.shape
(10,)