Changelog¶
0.5.0 / 2018-10-12¶
- Added
COO.real
, COO.imag, and COO.conj (PR #196). - Added
sparse.kron
function (PR #194, PR #195). - Added
order
parameter toCOO.reshape
to make it work withnp.reshape
(PR #193). - Added
COO.mean
andsparse.nanmean
(PR #190). - Added
sparse.full
andsparse.full_like
(PR #189). - Added
COO.clip
method (PR #185). - Added
COO.copy
method, and changed pickle ofCOO
to not include its cache (PR #184). - Added
sparse.eye
,sparse.zeros
,sparse.zeros_like
,sparse.ones
, andsparse.ones_like
(PR #183).
0.4.1 / 2018-09-12¶
- Allow mixed
ndarray
-COO
operations if the result is sparse (Issue #124, via PR #182). - Allow specifying a fill-value when converting from NumPy arrays (Issue #179, via PR #180).
- Added
COO.any
andCOO.all
methods (PR #175). - Indexing for
COO
now accepts a single one-dimensional array index (PR #172). - The fill-value can now be something other than zero or
False
(PR #165). - Added a
sparse.roll
function (PR #160). - Numba code now releases the GIL. This leads to better multi-threaded performance in Dask (PR #159).
- A number of bugs occurred, so to resolve them,
COO.coords.dtype
is alwaysnp.int64
.COO
, therefore, uses more memory than before (PR #158). - Add support for saving and loading
COO
files from disk (Issue #153, via PR #154). - Support
COO.nonzero
andnp.argwhere
(Issue #145, via PR #148). - Allow faux in-place operations (Issue #80, via PR #146).
COO
is now always canonical (PR #141).- Improve indexing performance (PR #128).
- Improve element-wise performance (PR #127).
- Reductions now support a negative axis (Issue #117, via PR #118).
- Match behaviour of
ufunc.reduce
from NumPy (Issue #107, via PR #108).
0.3.0 / 2018-02-22¶
- Add NaN-skipping aggregations (PR #102).
- Add equivalent to
np.where
(PR #102). - N-input universal functions now work (PR #98).
- Make
dot
more consistent with NumPy (PR #96). - Create a base class
SparseArray
(PR #92). - Minimum NumPy version is now 1.13 (PR #90).
- Fix a bug where setting a
DOK
element to zero did nothing (Issue #93, via PR #94).
0.2.0 / 2018-01-25¶
- Support faster
np.array(COO)
(PR #87). - Add
DOK
type (PR #85). - Fix sum for large arrays (Issue #82, via PR #83).
- Support
.size
and.density
(PR #69). - Documentation added for the package (PR #43).
- Minimum required SciPy version is now 0.19 (PR #70).
len(COO)
now works (PR #68).scalar op COO
now works for all operators (PR #67).- Validate axes for
.transpose()
(PR #61). - Extend indexing support (PR #57).
- Add
random
function for generating random sparse arrays (PR #41). COO(COO)
now copies the original object (PR #55).- NumPy universal functions and reductions now work on
COO
arrays (PR #49). - Fix concatenate and stack for large arrays (Issue #32, via PR #51).
- Fix
nnz
for scalars (Issue #47, via PR #48). - Support more operators and remove all special cases (PR #46).
- Add support for
triu
andtril
(PR #40). - Add support for Ellipsis (
...
) andNone
when indexing (PR #37). - Add support for bitwise bindary operations like
&
and|
(PR #38). - Support broadcasting in element-wise operations (PR #35).