numpy.frombuffer — NumPy v1.15 Manual (original) (raw)
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 (in bytes); default: 0. |
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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')
np.frombuffer(b'\x01\x02', dtype=np.uint8) array([1, 2], dtype=uint8) np.frombuffer(b'\x01\x02\x03\x04\x05', dtype=np.uint8, count=3) array([1, 2, 3], dtype=uint8)