pull_requests: 17513266
This data as json
id | node_id | number | state | locked | title | user | body | created_at | updated_at | closed_at | merged_at | merge_commit_sha | assignee | milestone | draft | head | base | author_association | auto_merge | repo | url | merged_by |
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17513266 | MDExOlB1bGxSZXF1ZXN0MTc1MTMyNjY= | 172 | closed | 0 | {DataArray,Dataset}.indexes no longer creates a new dict | 1217238 | According to the toy benchmark below, this shaves off between 20% (diff-indexes) to 40% (same-indexes) of xray's overhead for array math: ``` import numpy as np import xray x = np.random.randn(1000, 1000) y = np.random.randn(1000, 1000) dx = xray.DataArray(x) dy = xray.DataArray(y) %timeit x + x # raw-numpy %timeit dx + dx # same-indexes %timeit dx + dy # diff-indexes ``` | 2014-06-24T05:10:25Z | 2014-06-24T05:34:38Z | 2014-06-24T05:34:36Z | 2014-06-24T05:34:36Z | 17097a127a67c9bd245e83ede8ccfe64475ee887 | 650893 | 0 | 3f0a87b9c2e29670b14a69e352ab5e1f26bc9a95 | e0ffca26d30eab1731b6a5d380f2948c5f519dab | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/172 |
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