issues: 941810767
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 941810767 | MDU6SXNzdWU5NDE4MTA3Njc= | 5594 | xarray does not seem to work with timezone aware indexes | 29140541 | open | 0 | 3 | 2021-07-12T08:34:23Z | 2021-08-14T17:39:44Z | NONE | Using the following code, the created index is not a time index but has object type: ```python import numpy as np import pandas as pd import xarray as xr data = xr.DataArray(np.random.random(5), dims=['time'], coords={'time': pd.date_range("2000-01-01", periods=5).tz_localize('UTC')}) print(data.time) ``` This can severely limit the practicality of time indexes. It also means that methods such as resample won't work. Environment: I use xarray==0.18.2 with ubuntu |
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13221727 | issue |