API — Dask documentation (original) (raw)
abs(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.absolute.
absolute(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.absolute.
add(x1, x2, /[, out, where, casting, order, ...])
This docstring was copied from numpy.add.
all(a[, axis, keepdims, split_every, out])
Test whether all array elements along a given axis evaluate to True.
allclose(arr1, arr2[, rtol, atol, equal_nan])
Returns True if two arrays are element-wise equal within a tolerance.
angle(x[, deg])
Return the angle of the complex argument.
any(a[, axis, keepdims, split_every, out])
Test whether any array element along a given axis evaluates to True.
append(arr, values[, axis])
Append values to the end of an array.
apply_along_axis(func1d, axis, arr, *args[, ...])
Apply a function to 1-D slices along the given axis.
apply_over_axes(func, a, axes)
Apply a function repeatedly over multiple axes.
arange([start, stop, step, chunks, like, dtype])
Return evenly spaced values from start to stop with step size step.
arccos(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.arccos.
arccosh(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.arccosh.
arcsin(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.arcsin.
arcsinh(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.arcsinh.
arctan(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.arctan.
arctan2(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.arctan2.
arctanh(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.arctanh.
argmax(a[, axis, keepdims, split_every, out])
Returns the indices of the maximum values along an axis.
argmin(a[, axis, keepdims, split_every, out])
Returns the indices of the minimum values along an axis.
argtopk(a, k[, axis, split_every])
Extract the indices of the k largest elements from a on the given axis, and return them sorted from largest to smallest.
argwhere(a)
Find the indices of array elements that are non-zero, grouped by element.
around(x[, decimals])
Round an array to the given number of decimals.
array(object[, dtype, copy, order, subok, ...])
This docstring was copied from numpy.array.
asanyarray(a[, dtype, order, like, inline_array])
Convert the input to a dask array.
asarray(a[, allow_unknown_chunksizes, ...])
Convert the input to a dask array.
atleast_1d(*arys)
Convert inputs to arrays with at least one dimension.
atleast_2d(*arys)
View inputs as arrays with at least two dimensions.
atleast_3d(*arys)
View inputs as arrays with at least three dimensions.
average(a[, axis, weights, returned, keepdims])
Compute the weighted average along the specified axis.
bincount(x, /[, weights, minlength])
This docstring was copied from numpy.bincount.
bitwise_and(x1, x2, /[, out, where, ...])
This docstring was copied from numpy.bitwise_and.
bitwise_not(x, /[, out, where, casting, ...])
This docstring was copied from numpy.invert.
bitwise_or(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.bitwise_or.
bitwise_xor(x1, x2, /[, out, where, ...])
This docstring was copied from numpy.bitwise_xor.
block(arrays[, allow_unknown_chunksizes])
Assemble an nd-array from nested lists of blocks.
blockwise(func, out_ind, *args[, name, ...])
Tensor operation: Generalized inner and outer products
broadcast_arrays(*args[, subok])
Broadcast any number of arrays against each other.
broadcast_to(x, shape[, chunks, meta])
Broadcast an array to a new shape.
cbrt(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.cbrt.
coarsen(reduction, x, axes[, trim_excess])
Coarsen array by applying reduction to fixed size neighborhoods
ceil(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.ceil.
choose(a, choices)
Construct an array from an index array and a list of arrays to choose from.
clip(*args, **kwargs)
Clip (limit) the values in an array.
compress(condition, a[, axis])
Return selected slices of an array along given axis.
concatenate(seq[, axis, ...])
Concatenate arrays along an existing axis
conj(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.conjugate.
copysign(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.copysign.
corrcoef(x[, y, rowvar])
Return Pearson product-moment correlation coefficients.
cos(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.cos.
cosh(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.cosh.
count_nonzero(a[, axis])
Counts the number of non-zero values in the array a.
cov(m[, y, rowvar, bias, ddof])
Estimate a covariance matrix, given data and weights.
cumprod(x[, axis, dtype, out, method])
Return the cumulative product of elements along a given axis.
cumsum(x[, axis, dtype, out, method])
Return the cumulative sum of the elements along a given axis.
deg2rad(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.deg2rad.
degrees(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.degrees.
delete(arr, obj, axis)
Return a new array with sub-arrays along an axis deleted.
diag(v[, k])
Extract a diagonal or construct a diagonal array.
diagonal(a[, offset, axis1, axis2])
Return specified diagonals.
diff(a[, n, axis, prepend, append])
Calculate the n-th discrete difference along the given axis.
divide(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.divide.
divmod(x1, x2[, out1, out2], / [[, out, ...])
This docstring was copied from numpy.divmod.
digitize(a, bins[, right])
Return the indices of the bins to which each value in input array belongs.
dot(a, b[, out])
This docstring was copied from numpy.dot.
dstack(tup[, allow_unknown_chunksizes])
Stack arrays in sequence depth wise (along third axis).
ediff1d(ary[, to_end, to_begin])
The differences between consecutive elements of an array.
einsum(subscripts, *operands[, out, dtype, ...])
This docstring was copied from numpy.einsum.
empty(*args, **kwargs)
Blocked variant of empty_like
empty_like(a[, dtype, order, chunks, name, ...])
Return a new array with the same shape and type as a given array.
equal(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.equal.
exp(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.exp.
exp2(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.exp2.
expand_dims(a, axis)
Expand the shape of an array.
expm1(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.expm1.
extract(condition, arr)
Return the elements of an array that satisfy some condition.
eye(N[, chunks, M, k, dtype])
Return a 2-D Array with ones on the diagonal and zeros elsewhere.
fabs(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.fabs.
fix(*args, **kwargs)
Round to nearest integer towards zero.
flatnonzero(a)
Return indices that are non-zero in the flattened version of a.
flip(m[, axis])
Reverse element order along axis.
flipud(m)
Reverse the order of elements along axis 0 (up/down).
fliplr(m)
Reverse the order of elements along axis 1 (left/right).
float_power(x1, x2, /[, out, where, ...])
This docstring was copied from numpy.float_power.
floor(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.floor.
floor_divide(x1, x2, /[, out, where, ...])
This docstring was copied from numpy.floor_divide.
fmax(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.fmax.
fmin(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.fmin.
fmod(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.fmod.
frexp(x[, out1, out2], / [[, out, where, ...])
This docstring was copied from numpy.frexp.
fromfunction(func[, chunks, shape, dtype])
Construct an array by executing a function over each coordinate.
frompyfunc(func, /, nin, nout, *[, identity])
This docstring was copied from numpy.frompyfunc.
full(shape, fill_value, *args, **kwargs)
Blocked variant of full_like
full_like(a, fill_value[, order, dtype, ...])
Return a full array with the same shape and type as a given array.
gradient(f, *varargs[, axis])
Return the gradient of an N-dimensional array.
greater(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.greater.
greater_equal(x1, x2, /[, out, where, ...])
This docstring was copied from numpy.greater_equal.
histogram(a[, bins, range, normed, weights, ...])
Blocked variant of numpy.histogram().
histogram2d(x, y[, bins, range, normed, ...])
Blocked variant of numpy.histogram2d().
histogramdd(sample, bins[, range, normed, ...])
Blocked variant of numpy.histogramdd().
hstack(tup[, allow_unknown_chunksizes])
Stack arrays in sequence horizontally (column wise).
hypot(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.hypot.
i0(*args, **kwargs)
Modified Bessel function of the first kind, order 0.
imag(*args, **kwargs)
Return the imaginary part of the complex argument.
indices(dimensions[, dtype, chunks])
Implements NumPy's indices for Dask Arrays.
insert(arr, obj, values, axis)
Insert values along the given axis before the given indices.
invert(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.invert.
isclose(arr1, arr2[, rtol, atol, equal_nan])
Returns a boolean array where two arrays are element-wise equal within a tolerance.
iscomplex(*args, **kwargs)
Returns a bool array, where True if input element is complex.
isfinite(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.isfinite.
isin(element, test_elements[, ...])
Calculates element in test_elements, broadcasting over element only.
isinf(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.isinf.
This docstring was copied from numpy.equal.
isnan(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.isnan.
isnull(values)
pandas.isnull for dask arrays
This docstring was copied from numpy.equal.
isreal(*args, **kwargs)
Returns a bool array, where True if input element is real.
ldexp(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.ldexp.
left_shift(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.left_shift.
less(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.less.
less_equal(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.less_equal.
linspace(start, stop[, num, endpoint, ...])
Return num evenly spaced values over the closed interval [start, stop].
log(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.log.
log10(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.log10.
log1p(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.log1p.
log2(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.log2.
logaddexp(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.logaddexp.
logaddexp2(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.logaddexp2.
logical_and(x1, x2, /[, out, where, ...])
This docstring was copied from numpy.logical_and.
logical_not(x, /[, out, where, casting, ...])
This docstring was copied from numpy.logical_not.
logical_or(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.logical_or.
logical_xor(x1, x2, /[, out, where, ...])
This docstring was copied from numpy.logical_xor.
map_overlap(func, *args[, depth, boundary, ...])
Map a function over blocks of arrays with some overlap
map_blocks(func, *args[, name, token, ...])
Map a function across all blocks of a dask array.
matmul(x1, x2, /[, out, casting, order, ...])
This docstring was copied from numpy.matmul.
max(a[, axis, keepdims, split_every, out])
Return the maximum of an array or maximum along an axis.
maximum(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.maximum.
mean(a[, axis, dtype, keepdims, ...])
Compute the arithmetic mean along the specified axis.
median(a[, axis, keepdims, out])
Compute the median along the specified axis.
meshgrid(*xi[, sparse, indexing])
Return a tuple of coordinate matrices from coordinate vectors.
min(a[, axis, keepdims, split_every, out])
Return the minimum of an array or minimum along an axis.
minimum(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.minimum.
mod(x1, x2, /[, out, where, casting, order, ...])
This docstring was copied from numpy.remainder.
modf(x[, out1, out2], / [[, out, where, ...])
This docstring was copied from numpy.modf.
moment(a, order[, axis, dtype, keepdims, ...])
Calculate the nth centralized moment.
moveaxis(a, source, destination)
Move axes of an array to new positions.
multiply(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.multiply.
nanargmax(a[, axis, keepdims, split_every, out])
Return the indices of the maximum values in the specified axis ignoring NaNs.
nanargmin(a[, axis, keepdims, split_every, out])
Return the indices of the minimum values in the specified axis ignoring NaNs.
nancumprod(x, axis[, dtype, out, method])
Return the cumulative product of array elements over a given axis treating Not a Numbers (NaNs) as one.
nancumsum(x, axis[, dtype, out, method])
Return the cumulative sum of array elements over a given axis treating Not a Numbers (NaNs) as zero.
nanmax(a[, axis, keepdims, split_every, out])
Return the maximum of an array or maximum along an axis, ignoring any NaNs.
nanmean(a[, axis, dtype, keepdims, ...])
Compute the arithmetic mean along the specified axis, ignoring NaNs.
nanmedian(a[, axis, keepdims, out])
Compute the median along the specified axis, while ignoring NaNs.
nanmin(a[, axis, keepdims, split_every, out])
Return minimum of an array or minimum along an axis, ignoring any NaNs.
nanprod(a[, axis, dtype, keepdims, ...])
Return the product of array elements over a given axis treating Not a Numbers (NaNs) as ones.
nanquantile(a, q[, axis, out, ...])
Compute the qth quantile of the data along the specified axis, while ignoring nan values.
nanpercentile(a, q, **kwargs)
Compute the qth percentile of the data along the specified axis, while ignoring nan values.
nanstd(a[, axis, dtype, keepdims, ddof, ...])
Compute the standard deviation along the specified axis, while ignoring NaNs.
nansum(a[, axis, dtype, keepdims, ...])
Return the sum of array elements over a given axis treating Not a Numbers (NaNs) as zero.
nanvar(a[, axis, dtype, keepdims, ddof, ...])
Compute the variance along the specified axis, while ignoring NaNs.
nan_to_num(*args, **kwargs)
Replace NaN with zero and infinity with large finite numbers (default behaviour) or with the numbers defined by the user using the nan, posinf and/or neginf keywords.
negative(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.negative.
nextafter(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.nextafter.
nonzero(a)
Return the indices of the elements that are non-zero.
not_equal(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.not_equal.
notnull(values)
pandas.notnull for dask arrays
ones(*args, **kwargs)
Blocked variant of ones_like
ones_like(a[, dtype, order, chunks, name, shape])
Return an array of ones with the same shape and type as a given array.
outer(a, b)
Compute the outer product of two vectors.
pad(array, pad_width[, mode])
Pad an array.
percentile(a, q[, method, internal_method])
Approximate percentile of 1-D array
push(array, n, axis)
Dask-version of bottleneck.push
A warning given when bad chunking may cause poor performance
piecewise(x, condlist, funclist, *args, **kw)
Evaluate a piecewise-defined function.
positive(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.positive.
power(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.power.
prod(a[, axis, dtype, keepdims, ...])
Return the product of array elements over a given axis.
ptp(a[, axis])
Range of values (maximum - minimum) along an axis.
quantile(a, q[, axis, out, overwrite_input, ...])
Compute the q-th quantile of the data along the specified axis.
rad2deg(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.rad2deg.
radians(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.radians.
ravel(array_like)
Return a contiguous flattened array.
ravel_multi_index(multi_index, dims[, mode, ...])
Converts a tuple of index arrays into an array of flat indices, applying boundary modes to the multi-index.
real(*args, **kwargs)
Return the real part of the complex argument.
reciprocal(x, /[, out, where, casting, ...])
This docstring was copied from numpy.reciprocal.
rechunk(x[, chunks, threshold, ...])
Convert blocks in dask array x for new chunks.
reduction(x, chunk, aggregate[, axis, ...])
General version of reductions
register_chunk_type(type)
Register the given type as a valid chunk and downcast array type
remainder(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.remainder.
repeat(a, repeats[, axis])
Repeat each element of an array after themselves
reshape(x, shape[, merge_chunks, limit])
Reshape array to new shape
reshape_blockwise(x, shape[, chunks])
Blockwise-reshape into a new shape.
result_type(*arrays_and_dtypes)
This docstring was copied from numpy.result_type.
right_shift(x1, x2, /[, out, where, ...])
This docstring was copied from numpy.right_shift.
rint(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.rint.
roll(array, shift[, axis])
Roll array elements along a given axis.
rollaxis(a, axis[, start])
rot90(m[, k, axes])
Rotate an array by 90 degrees in the plane specified by axes.
round(a[, decimals])
Evenly round to the given number of decimals.
searchsorted(a, v[, side, sorter])
Find indices where elements should be inserted to maintain order.
select(condlist, choicelist[, default])
Return an array drawn from elements in choicelist, depending on conditions.
shape(array)
Return the shape of an array.
shuffle(x, indexer, axis[, chunks])
Reorders one dimensions of a Dask Array based on an indexer.
sign(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.sign.
signbit(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.signbit.
sin(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.sin.
sinc(*args, **kwargs)
Return the normalized sinc function.
sinh(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.sinh.
spacing(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.spacing.
sqrt(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.sqrt.
square(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.square.
squeeze(a[, axis])
Remove axes of length one from a.
stack(seq[, axis, allow_unknown_chunksizes])
Stack arrays along a new axis
std(a[, axis, dtype, keepdims, ddof, ...])
Compute the standard deviation along the specified axis.
subtract(x1, x2, /[, out, where, casting, ...])
This docstring was copied from numpy.subtract.
sum(a[, axis, dtype, keepdims, split_every, out])
Sum of array elements over a given axis.
swapaxes(a, axis1, axis2)
Interchange two axes of an array.
take(a, indices[, axis])
Take elements from an array along an axis.
tan(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.tan.
tanh(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.tanh.
tensordot(lhs, rhs[, axes])
Compute tensor dot product along specified axes.
tile(A, reps)
Construct an array by repeating A the number of times given by reps.
topk(a, k[, axis, split_every])
Extract the k largest elements from a on the given axis, and return them sorted from largest to smallest.
trace(a[, offset, axis1, axis2, dtype])
Return the sum along diagonals of the array.
transpose(a[, axes])
Returns an array with axes transposed.
tri(N[, M, k, dtype, chunks, like])
An array with ones at and below the given diagonal and zeros elsewhere.
tril(m[, k])
Lower triangle of an array.
tril_indices(n[, k, m, chunks])
Return the indices for the lower-triangle of an (n, m) array.
tril_indices_from(arr[, k])
Return the indices for the lower-triangle of arr.
triu(m[, k])
Upper triangle of an array.
triu_indices(n[, k, m, chunks])
Return the indices for the upper-triangle of an (n, m) array.
triu_indices_from(arr[, k])
Return the indices for the upper-triangle of arr.
true_divide(x1, x2, /[, out, where, ...])
This docstring was copied from numpy.divide.
trunc(x, /[, out, where, casting, order, ...])
This docstring was copied from numpy.trunc.
union1d(ar1, ar2)
Find the union of two arrays.
unique(ar[, return_index, return_inverse, ...])
Find the unique elements of an array.
unravel_index(indices, shape[, order])
This docstring was copied from numpy.unravel_index.
var(a[, axis, dtype, keepdims, ddof, ...])
Compute the variance along the specified axis.
vdot(a, b, /)
This docstring was copied from numpy.vdot.
vstack(tup[, allow_unknown_chunksizes])
Stack arrays in sequence vertically (row wise).
where(condition, [x, y], /)
This docstring was copied from numpy.where.
zeros(*args, **kwargs)
Blocked variant of zeros_like
zeros_like(a[, dtype, order, chunks, name, ...])
Return an array of zeros with the same shape and type as a given array.