How to concatenate arrays using dask?

How to concatenate arrays using dask?

How to concatenate arrays using dask?

This recipe helps you concatenate arrays using dask


Recipe Objective

How to concatenate arrays using dask

Often we've got several arrays hold on on disk that we would like to stack along and consider jointly massive array. this is common with geospatial data we might have several HDF5/NetCDF files on disk, one for each day, however we would like to try to to operations that span multiple days.

For concatenating we can use the functions `da.stack, da.concatenate, and da.block`.

Step 1- Importing Libraries.

import dask.array as da import numpy as np

Step 2- Creating arrays.

We will create two sample dask arrays with chunks of size (1,2) for showing how they can be concatenated

array_0 = da.from_array(np.zeros((12, 16)), chunks=(1, 2)) array_1 = da.from_array(np.ones((12, 16)) , chunks=(1, 2))

Step 3- concatenating arrays.

Concatenating arrays by applying the predefined function.

data = [array_0, array_1] x = da.concatenate(data, axis=1) x.shape

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