mrocklin / dask / 556

Builds Branch Commit Type Ran Committer Via Coverage
556 atop add atop to dask.array top-level imports push mrocklin travis-ci pending completion   set done
555 atop rework atop docstring push mrocklin travis-ci pending completion   set done
554 atop da.arange has concrete dtype push mrocklin travis-ci pending completion   set done
553 map-blocks-chunks2 map_blocks supports chunks as blockshape push mrocklin travis-ci pending completion   set done
552 negative-axes-reductions Support negative axes in reductions Examples -------- >>> x.sum(axis=-1) >>> x.sum(axis=(-1, 2)) Fixes #264 cc @alimanfoo push mrocklin travis-ci pending completion   set done
551 topk-key use toolz.topk in place of heapq.nlargest Fixes #269 def test_topk_with_non_callable_key(): b = db.from_sequence([(1, 10), (2, 9), (3, 8)], npartitions=2) assert list(b.topk(2, key=1)) == [(1, 10), (2, 9)] assert list(b.topk(2, key=0... push mrocklin travis-ci pending completion   set done
550 dtyped-reductions Reductions support dtype= keyword argument This follows the NumPy API to enable users to specify the output dtype of reduction operations. Example ------- In [1]: import dask.array as da In [2]: x = da.ones((4, 4), chunks=2) In [3]: x.sum(axi... push mrocklin travis-ci pending completion   set done
549 map_blocks_many raise informative error on map_blocks arg switch push mrocklin travis-ci pending completion   set done
548 map_blocks_many replace old map_blocks function variadic version push mrocklin travis-ci pending completion   set done
547 map_blocks_many Add variadic map_blocks function push mrocklin travis-ci pending completion   set done
546 rec-concat-3 add 1d and 3d tests for concatenate3 push mrocklin travis-ci pending completion   set done
545 rec-concat-3 update concatenate3 docstring push mrocklin travis-ci pending completion   set done
544 fancy-indexing Index one array with another boolean dask.array This allows for fancy indexing of the following form: Example ------- In [1]: import numpy as np In [2]: import dask.array as da In [3]: x = np.array([2, 1, 5, 2, 1]) In [4]: d ... push mrocklin travis-ci pending completion   set done
543 nlp-bag Bag.compute returns list push mrocklin travis-ci pending completion   set done
542 rec-concat-3 skip percentile on categoricals test push mrocklin travis-ci pending completion   set done