from_func(func, shape, dtype=None, name=None, args=(), kwargs={})
Calling the provided function with func(*args, **kwargs) should return a NumPy array of the indicated shape and dtype.
Create dask array in a single block by calling a function
>>> a = from_func(np.arange, (3,), dtype='i8', args=(3,))
... a.compute() array([0, 1, 2])
This works particularly well when coupled with dask.array functions like concatenate and stack:
This example is valid syntax, but we were not able to check execution>>> arrays = [from_func(np.array, (), dtype='i8', args=(n,)) for n in range(5)]See :
... stack(arrays).compute() array([0, 1, 2, 3, 4])
The following pages refer to to this document either explicitly or contain code examples using this.
dask.array.core.from_func
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