numpy.rec.fromfile#
- rec.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
isNone
, 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.view(a.dtype.newbyteorder('<')) >>> a.tofile(fd) >>> >>> _ = fd.seek(0) >>> r=np.rec.fromfile(fd, formats='f8,i4,a5', shape=10, ... byteorder='<') >>> print(r[5]) (0.5, 10, b'abcde') >>> r.shape (10,)