A parallel nd-array comprised of many numpy arrays arranged in a grid.
This constructor is for advanced uses only. For normal use see the dask.array.from_array
function.
Task dependency graph
Name of array in dask
Shape of the entire array
block sizes along each dimension
Typecode or data-type for the new Dask Array
empty ndarray created with same NumPy backend, ndim and dtype as the Dask Array being created (overrides dtype)
Parallel Dask Array
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dask.array.gufunc.apply_gufuncdask.base.annotatedask.array.core.map_blocksdask.array.tiledb_io.from_tiledbdask.array.blockwise.blockwisedask.array.core.from_funcdask.array.core.retrieve_from_oocdask.array.core.from_arraydask.array.overlap.sliding_window_viewdask.array.gufunc.as_gufuncdask.base.optimizedask.array.gufunc.gufuncdask.array.random.RandomStatedask.array.core.Array.map_overlapdask.base.computedask.array.chunk_types.register_chunk_typedask.array.routines.histogramdask.array.reductions.topkdask.array.core.stackdask.array.core.concatenatedask.array.routines.histogram2ddask.array.routines.histogramdddask.array.core._check_regular_chunksdask.array.overlap.map_overlapdask.array.core.Array.compute_chunk_sizesdask.array.core.insert_to_oocdask.array.core.from_delayeddask.array.core.unify_chunksdask.array.reductions.argtopkdask.array.overlap.overlapdask.array.rechunk.rechunkHover to see nodes names; edges to Self not shown, Caped at 50 nodes.
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