issues: 294182366
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 294182366 | MDU6SXNzdWUyOTQxODIzNjY= | 1886 | Whether should we follow pandas or numpy if they have different API? | 6815844 | closed | 0 | 4 | 2018-02-04T09:05:30Z | 2018-02-07T00:23:09Z | 2018-02-07T00:23:09Z | MEMBER | In working with #1883, I noticed that our (and numpy's) ```python In [1]: import numpy as np ...: import xarray as xr ...: da = xr.DataArray([0, 1, 2], dims='x', name='da') In [2]: da.std() Out[2]: <xarray.DataArray 'da' ()> array(0.816496580927726) In [3]: da.to_dataframe().std() Out[3]: da 1.0 dtype: float64 In [4]: da.std(ddof=1) Out[4]: <xarray.DataArray 'da' ()> array(1.0) ``` |
{
"url": "https://api.github.com/repos/pydata/xarray/issues/1886/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
completed | 13221727 | issue |