issues: 274996832
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 274996832 | MDU6SXNzdWUyNzQ5OTY4MzI= | 1726 | Behavior of dataarray with no dimensions | 3621629 | closed | 0 | 3 | 2017-11-17T21:07:55Z | 2018-01-11T21:24:43Z | 2018-01-11T21:24:43Z | CONTRIBUTOR | Consider ```python type(np.array([1.0]).mean()) -> numpy.float64type(pd.Series([1.0]).mean()) -> floattype(xr.DataArray([1.0]).mean()) -> xarray.core.dataarray.DataArray``` The issue is that this dimensionless data array won't be cast into float by numpy/pandas when constructing a new ndarray/dataframe. You'll have to do it explicitly. Not a big deal but it feels weird. I'm sure there's a real technical reason (keeping metadata ?) behind this behavior but I couldn't find any discussion about it. |
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completed | 13221727 | issue |