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.
|
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=
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