API¶
Description
Classes
COO (coords[, data, shape, has_duplicates, …]) |
A sparse multidimensional array. |
DOK (shape[, data, dtype]) |
A class for building sparse multidimensional arrays. |
SparseArray (shape) |
An abstract base class for all the sparse array classes. |
Functions
concatenate (arrays[, axis]) |
Concatenate the input arrays along the given dimension. |
dot (a, b) |
Perform the equivalent of numpy.dot on two arrays. |
elemwise (func, *args, **kwargs) |
Apply a function to any number of arguments. |
nanmax (x[, axis, keepdims, dtype, out]) |
Maximize along the given axes, skipping NaN values. |
nanmin (x[, axis, keepdims, dtype, out]) |
Minimize along the given axes, skipping NaN values. |
nanprod (x[, axis, keepdims, dtype, out]) |
Performs a product operation along the given axes, skipping NaN values. |
nansum (x[, axis, keepdims, dtype, out]) |
Performs a NaN skipping sum operation along the given axes. |
random (shape[, density, canonical_order, …]) |
Generate a random sparse multidimensional array |
stack (arrays[, axis]) |
Stack the input arrays along the given dimension. |
tensordot (a, b[, axes]) |
Perform the equivalent of numpy.tensordot . |
tril (x[, k]) |
Returns an array with all elements above the k-th diagonal set to zero. |
triu (x[, k]) |
Returns an array with all elements below the k-th diagonal set to zero. |
where (condition[, x, y]) |
Select values from either x or y depending on condition . |