blosc2.zeros#

blosc2.zeros(shape: int | tuple | list, dtype: ~numpy.dtype | str = <class 'numpy.float64'>, **kwargs: ~typing.Any) → NDArray#

Create an array with zero as the default value for uninitialized portions of the array.

The parameters and keyword arguments are the same as for the empty() constructor.

Returns:: out – A NDArray is returned.
Return type:: NDArray

Examples

>>> import blosc2
>>> import numpy as np
>>> shape = [8, 8]
>>> chunks = [6, 5]
>>> blocks = [5, 5]
>>> dtype = np.float64
>>> # Create zeros array
>>> array = blosc2.zeros(shape, dtype=dtype, chunks=chunks, blocks=blocks)
>>> array.shape
(8, 8)
>>> array.chunks
(6, 5)
>>> array.blocks
(5, 5)
>>> array.dtype
dtype('float64')