# numpy.core.records.fromfile

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

  Create an array from binary file data

  Parameters:
    fd str 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).

    dtype data-type, optional

      valid dtype for all arrays

    shape int or tuple of ints, optional

      shape of each array.

    offset int, 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,)