blosc2.LazyArray.save#

abstract LazyArray.save(**kwargs: dict) → None#

Save the LazyArray on disk.

Parameters:

kwargs (dict, optional) – Keyword arguments that are supported by the empty() constructor. The urlpath must always be provided.

Returns:

out

Return type:

None

Notes

  • All the operands of the LazyArray must be Python scalars, NDArray, C2Array or Proxy.

  • If an operand is a Proxy, keep in mind that Python-Blosc2 will only be able to reopen it as such if its source is a SChunk, NDArray or a C2Array (see blosc2.open() notes section for more info).

  • This is currently only supported for LazyExpr.

Examples

>>> import blosc2
>>> import numpy as np
>>> dtype = np.float64
>>> shape = [3, 3]
>>> size = shape[0] * shape[1]
>>> a = np.linspace(0, 5, num=size, dtype=dtype).reshape(shape)
>>> b = np.linspace(0, 5, num=size, dtype=dtype).reshape(shape)
>>> # Define file paths for storing the arrays
>>> a1 = blosc2.asarray(a, urlpath='a_array.b2nd', mode='w')
>>> b1 = blosc2.asarray(b, urlpath='b_array.b2nd', mode='w')
>>> # Perform the mathematical operation to create a LazyExpr expression
>>> expr = a1 + b1
>>> # Save the LazyExpr to disk
>>> expr.save(urlpath='lazy_array.b2nd', mode='w')
>>> # Open and load the LazyExpr from disk
>>> disk_expr = blosc2.open('lazy_array.b2nd')
>>> disk_expr[:2]
[[0.   1.25 2.5 ]
[3.75 5.   6.25]]
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