blosc2.frombuffer#

blosc2.frombuffer(buffer: bytes, shape: int | tuple | list, dtype: ~numpy.dtype | str = <class 'numpy.uint8'>, **kwargs: ~typing.Any) → NDArray#

Create an array out of a buffer.

Parameters:

  • buffer (bytes) – The buffer of the data to populate the container.

  • shape (int, tuple or list) – The shape for the final container.

  • dtype (np.dtype or list str) – The ndarray dtype in NumPy format. Default is np.uint8. This will override the typesize in the cparams if they are passed.

  • kwargs (dict, optional) – Keyword arguments that are supported by the empty() constructor.

Returns:

out – A NDArray is returned.

Return type:

NDArray

Examples

>>> import blosc2
>>> import numpy as np
>>> shape = [25, 10]
>>> chunks = (49, 49)
>>> dtype = np.dtype("|S8")
>>> typesize = dtype.itemsize
>>> # Create a buffer
>>> buffer = bytes(np.random.normal(0, 1, np.prod(shape)) * typesize)
>>> # Create a NDArray from a buffer with default blocks
>>> a = blosc2.frombuffer(buffer, shape, chunks=chunks, dtype=dtype)
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