Putting array blocks together is a common operation when working with large datasets that are split into smaller blocks. In Dask, there are several functions for putting array blocks together, including da.concatenate(), da.stack(), and da.block().
Here is an example of how to concatenate Dask arrays using da.concatenate():
import dask.array as da# Create two Dask arrays with the same shape and chunk sizearr1 = da.random.random((4, 4), chunks=(2, 2))arr2 = da.random.random((4, 4), chunks=(2, 2))# Concatenate the arrays along the first axisconcatenated = da.concatenate([arr1, arr2], axis=0) |
In this example, we create two Dask arrays with the same shape and chunk size and concatenate them along the first axis using da.concatenate(). The resulting array concatenated has a shape of (8, 4).
Here is an example of how to stack Dask arrays using da.stack():
import dask.array as da# Create two Dask arrays with the same shape and chunk sizearr1 = da.random.random((4, 4), chunks=(2, 2))arr2 = da.random.random((4, 4), chunks=(2, 2))# Stack the arrays along a new axisstacked = da.stack([arr1, arr2], axis=0) |
In this example, we create two Dask arrays with the same shape and chunk size and stack them along a new axis using da.stack(). The resulting array stacked has a shape of (2, 4, 4).
Here is an example of how to put Dask array blocks together using da.block():
import dask.array as da# Create two Dask arrays with different shapes and chunk sizesarr1 = da.random.random((4, 4), chunks=(2, 2))arr2 = da.random.random((2, 2), chunks=(2, 2))# Put the array blocks togetherput_together = da.block([[arr1, None], [None, arr2]]) |
In this example, we create two Dask arrays with different shapes and chunk sizes and put them together using da.block(). The resulting array put_together has a shape of (4, 4) and contains the blocks of the two arrays. Note that None is used to indicate where there are missing blocks.