issues: 29067976
This data as json
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 29067976 | MDExOlB1bGxSZXF1ZXN0MTMzNTY2MTY= | 59 | Ensure decoding as datetime64[ns] | 1217238 | closed | 0 | 4 | 2014-03-10T01:26:54Z | 2014-03-13T06:58:16Z | 2014-03-12T16:55:57Z | MEMBER | 0 | pydata/xarray/pulls/59 | Pandas seems to have trouble constructing multi-indices when it's given
datetime64 arrays which don't have ns precision. The current version of
decode_cf_datetime will give datetime arrays with the default precision, which
is us. Hence, when coupled with the dtype restoring wrapper from PR #54, the
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13221727 | pull |