Optimize min_count when expected_groups is not provided.
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dcherian
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For pure numpy arrays, min_count=1 (xarray default) is the same as min_count=None, with the right fill_value. This avoids one useless pass over the data, and one useless copy. We need to always accumulate count with dask, to make sure we get the right values at the end.
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min_count when expected_groups is not provided.
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* main: (64 commits) import `normalize_axis_index` from `numpy.lib` on `numpy>=2` (#364) Optimize `min_count` when `expected_groups` is not provided. (#236) Use threadpool for finding labels in chunk (#327) Manually fuse reindexing intermediates with blockwise reduction for cohorts. (#300) Bump codecov/codecov-action from 4.1.1 to 4.3.1 (#362) Add cubed notebook for hourly climatology example using "map-reduce" method (#356) Optimize bitmask finding for chunk size 1 and single chunk cases (#360) Edits to climatology doc (#361) Fix benchmarks (#358) Trim CI (#355) [pre-commit.ci] pre-commit autoupdate (#350) Initial minimal working Cubed example for "map-reduce" (#352) Bump codecov/codecov-action from 4.1.0 to 4.1.1 (#349) `method` heuristics: Avoid dot product as much as possible (#347) Fix nanlen with strings (#344) Fix direct quantile reduction (#343) Fix upstream-dev CI, silence warnings (#341) Bump codecov/codecov-action from 4.0.0 to 4.1.0 (#338) Fix direct reductions of Xarray objects (#339) Test with py3.12 (#336) ...
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* main: Bump codecov/codecov-action from 4.3.1 to 4.4.1 (#366) Cubed blockwise (#357) Remove errant print statement import `normalize_axis_index` from `numpy.lib` on `numpy>=2` (#364) Optimize `min_count` when `expected_groups` is not provided. (#236) Use threadpool for finding labels in chunk (#327) Manually fuse reindexing intermediates with blockwise reduction for cohorts. (#300) Bump codecov/codecov-action from 4.1.1 to 4.3.1 (#362) Add cubed notebook for hourly climatology example using "map-reduce" method (#356) Optimize bitmask finding for chunk size 1 and single chunk cases (#360) Edits to climatology doc (#361) Fix benchmarks (#358)
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xref #363
Skip reindexing when
expected_groupsis not provided. In this case, we detect all available groups anyway.\This is less impactful than it seems because Xarray always sets
expected_groups = (pd.RangeIndex(...),).A solution is to set
min_count=0upstream forUniqueGrouper