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 (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.:
代码语言：javascript复制>>> 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
代码语言：javascript复制>>> s = ‘hello world‘
>>> np.frombuffer(s, dtype=‘S1‘, count=5, offset=6)
array([‘w‘, ‘o‘, ‘r‘, ‘l‘, ‘d‘],
dtype=‘|S1‘)>>> np.frombuffer(b‘x01x02‘, dtype=np.uint8)
array([1, 2], dtype=uint8)
>>> np.frombuffer(b‘x01x02x03x04x05‘, dtype=np.uint8, count=3)
array([1, 2, 3], dtype=uint8)NumPy的ndarray数组对象不能像list一样动态地改变其大小，在做数据采集时很不方便。本文介绍如何通过np.frombuffer()实现动态数组。
