__init__(*args, **kwargs)
all([axis, keepdims, split_every, out])
Returns True if all elements evaluate to True.
any([axis, keepdims, split_every, out])
Returns True if any of the elements evaluate to True.
argmax([axis, keepdims, split_every, out])
Return indices of the maximum values along the given axis.
argmin([axis, keepdims, split_every, out])
Return indices of the minimum values along the given axis.
argtopk(k[, axis, split_every])
The indices of the top k elements of an array.
astype(dtype, **kwargs)
Copy of the array, cast to a specified type.
choose(choices)
Use an index array to construct a new array from a set of choices.
clip([min, max])
Return an array whose values are limited to [min, max].
compute(**kwargs)
Compute this dask collection
Compute the chunk sizes for a Dask array.
conj()
Complex-conjugate all elements.
copy()
Copy array.
cumprod(axis[, dtype, out, method])
Return the cumulative product of the elements along the given axis.
cumsum(axis[, dtype, out, method])
Return the cumulative sum of the elements along the given axis.
dot(other)
Dot product of self and other.
flatten()
Return a flattened array.
map_blocks(*args[, name, token, dtype, ...])
Map a function across all blocks of a dask array.
map_overlap(func, depth[, boundary, trim])
Map a function over blocks of the array with some overlap
max([axis, keepdims, split_every, out])
Return the maximum along a given axis.
mean([axis, dtype, keepdims, split_every, out])
Returns the average of the array elements along given axis.
min([axis, keepdims, split_every, out])
Return the minimum along a given axis.
moment(order[, axis, dtype, keepdims, ddof, ...])
Calculate the nth centralized moment.
nonzero()
Return the indices of the elements that are non-zero.
persist(**kwargs)
Persist this dask collection into memory
prod([axis, dtype, keepdims, split_every, out])
Return the product of the array elements over the given axis
ravel()
Return a flattened array.
rechunk([chunks, threshold, ...])
Convert blocks in dask array x for new chunks.
repeat(repeats[, axis])
Repeat elements of an array.
reshape(*shape[, merge_chunks, limit])
Reshape array to new shape
round([decimals])
Return array with each element rounded to the given number of decimals.
shuffle(indexer, axis[, chunks])
Reorders one dimensions of a Dask Array based on an indexer.
squeeze([axis])
Remove axes of length one from array.
std([axis, dtype, keepdims, ddof, ...])
Returns the standard deviation of the array elements along given axis.
store(targets[, lock, regions, compute, ...])
Store dask arrays in array-like objects, overwrite data in target
sum([axis, dtype, keepdims, split_every, out])
Return the sum of the array elements over the given axis.
swapaxes(axis1, axis2)
Return a view of the array with axis1 and axis2 interchanged.
to_backend([backend])
Move to a new Array backend
to_dask_dataframe([columns, index, meta])
Convert dask Array to dask Dataframe
to_delayed([optimize_graph])
Convert into an array of dask.delayed.Delayed objects, one per chunk.
to_hdf5(filename, datapath, **kwargs)
Store array in HDF5 file
to_svg([size])
Convert chunks from Dask Array into an SVG Image
to_tiledb(uri, *args, **kwargs)
Save array to the TileDB storage manager
to_zarr(*args, **kwargs)
Save array to the zarr storage format
topk(k[, axis, split_every])
The top k elements of an array.
trace([offset, axis1, axis2, dtype])
Return the sum along diagonals of the array.
transpose(*axes)
Reverse or permute the axes of an array.
var([axis, dtype, keepdims, ddof, ...])
Returns the variance of the array elements, along given axis.
view([dtype, order])
Get a view of the array as a new data type
visualize([filename, format, optimize_graph])
Render the computation of this object's task graph using graphviz.
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