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# numpy.frombuffer

`numpy.``frombuffer`(buffer, dtype=float, count=-1, offset=0)

  Interpret a buffer as a 1-dimensional array.

  Parameters : | buffer : buffer_like An object that exposes the buffer interface. dtype : data-type, optional Data-type of the returned array; default: float. count : int, optional Number of items to read. `-1` means all data in the buffer. offset : int, optional Start reading the buffer from this offset; default: 0.

  Notes

  If the buffer has data that is not in machine byte-order, this should be specified as part of the data-type, e.g.:

      >>> dt = np.dtype(int)
      >>> dt = dt.newbyteorder('>')
      >>> np.frombuffer(buf, dtype=dt)

  The data of the resulting array will not be byteswapped, but will be interpreted correctly.

  Examples

      >>> s = 'hello world'
      >>> np.frombuffer(s, dtype='S1', count=5, offset=6)
      array(['w', 'o', 'r', 'l', 'd'],
            dtype='|S1')

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