blosc2.reshape#

blosc2.reshape(src: NDArray | NDField | LazyArray | C2Array, shape: tuple | list, c_order: bool = True, **kwargs: Any) → NDArray#

Returns an array containing the same data with a new shape.

This only works when src.shape is 1-dimensional. Multidim case for src is interesting, but not supported yet.

Parameters:

  • src (NDArray or NDField or LazyArray or C2Array) – The input array.

  • shape (tuple or list) – The new shape of the array. It should have the same number of elements as the current shape.

  • c_order (bool) – Whether to reshape the array in C order (row-major) or insertion order. Insertion order means that values will be stored in the array following the order of chunks in the source array. Default is C order.

  • kwargs (dict, optional) – Additional keyword arguments supported by the empty() constructor.

Returns:

out – A new array with the requested shape.

Return type:

NDArray

Examples

>>> import blosc2
>>> import numpy as np
>>> shape = [23 * 11]
>>> a = np.arange(np.prod(shape))
>>> # Create an array
>>> b = blosc2.asarray(a)
>>> # Reshape the array
>>> c = blosc2.reshape(b, (11, 23))
>>> print(c.shape)
(11, 23)
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