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id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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922843005 | MDExOlB1bGxSZXF1ZXN0NjcxNjY5NjU0 | 5476 | Add coarsen.construct | dcherian 2448579 | closed | 0 | 4 | 2021-06-16T16:42:15Z | 2021-07-23T20:26:38Z | 2021-06-24T16:55:25Z | MEMBER | 0 | pydata/xarray/pulls/5476 |
Builds on #5474 Here's an example ``` python import numpy as np import xarray as xr ds = xr.Dataset( { "vart": ("time", np.arange(48)), "varx": ("x", np.arange(10)), "vartx": (("x", "time"), np.arange(480).reshape(10, 48)), "vary": ("y", np.arange(12)), }, coords={"time": np.arange(48), "y": np.arange(12)}, ) ds.coarsen(time=12, x=5, boundary="trim").construct( {"time": ("year", "month"), "x": ("x", "x_reshaped")} ) ``` What do people think of this syntax: |
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xarray 13221727 | pull | |||||
922792799 | MDExOlB1bGxSZXF1ZXN0NjcxNjI1NDc3 | 5474 | Refactor out coarsen tests | dcherian 2448579 | closed | 0 | 3 | 2021-06-16T15:52:57Z | 2021-06-21T17:04:02Z | 2021-06-21T16:35:36Z | MEMBER | 0 | pydata/xarray/pulls/5474 |
Some questions:
1. flake8 fails with some false positives. What do we do about that?
2. I am importing the
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xarray 13221727 | pull |
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