issues: 33307883
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 33307883 | MDExOlB1bGxSZXF1ZXN0MTU3NjcwMTU= | 125 | Only copy datetime64 data if it is using non-nanosecond precision. | 514053 | closed | 0 | 7 | 2014-05-12T13:36:22Z | 2014-05-20T19:09:40Z | 2014-05-20T19:09:40Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/125 | In an attempt to coerce all datetime arrays to nano second resolutoin utils.as_safe_array() was creating copies of any datetime64 array (via the astype method). This was causing unexpected behavior (bugs) for things such as concatenation over times. (see below). ``` import xray import pandas as pd ds = xray.Dataset() ds['time'] = ('time', pd.date_range('2011-09-01', '2011-09-11')) times = [ds.indexed(time=[i]) for i in range(10)] ret = xray.Dataset.concat(times, 'time') print ret['time'] <xray.DataArray 'time' (time: 10)> array(['1970-01-02T07:04:40.718526408-0800', '1969-12-31T16:00:00.099966608-0800', '1969-12-31T16:00:00.041748384-0800', '1969-12-31T16:00:00.041748360-0800', '1969-12-31T16:00:00.041748336-0800', '1969-12-31T16:00:00.041748312-0800', '1969-12-31T16:00:00.041748288-0800', '1969-12-31T16:00:00.041748264-0800', '1969-12-31T16:00:00.041748240-0800', '1969-12-31T16:00:00.041748216-0800'], dtype='datetime64[ns]') Attributes: Empty ``` |
{
"url": "https://api.github.com/repos/pydata/xarray/issues/125/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
13221727 | pull |