什么是numpy.tile的dask等价物？

Question

Dask ( http://dask.pydata.org/en/latest/array-api.html ) is a flexible parallel computing library for analytics. It scales to big data, in constrast to Numpy and has many similar methods. How can I achieve the same effect as numpy.tile on a dask array?

Answer 1

Using dask.array.concatenate() could be a possible workaround.

Demo in NumPy:

In [374]: x = numpy.arange(4).reshape((2, 2))

In [375]: x
Out[375]: 
array([[0, 1],
       [2, 3]])

In [376]: n = 3

In [377]: numpy.tile(x, n)
Out[377]: 
array([[0, 1, 0, 1, 0, 1],
       [2, 3, 2, 3, 2, 3]])

In [378]: numpy.concatenate([x for i in range(n)], axis=1)
Out[378]: 
array([[0, 1, 0, 1, 0, 1],
       [2, 3, 2, 3, 2, 3]])