numpy.frombuffer()
- 2019 年 10 月 28 日
- 筆記
版權聲明：本文為博主原創文章，遵循 CC 4.0 BY-SA 版權協議，轉載請附上原文出處鏈接和本聲明。
本文鏈接：https://blog.csdn.net/weixin_36670529/article/details/102668346
numpy.frombuffer
numpy.frombuffer(buffer, dtype=float, count=-1, offset=0)
Interpret a buffer as a 1-dimensional array.
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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『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數組對象不能像list一樣動態地改變其大小，在做數據採集時很不方便。本文介紹如何通過np.frombuffer()實現動態數組。
