issues

Table actions

1 row where state = "open", type = "issue" and user = 49512274 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

type 1

  • issue · 1 ✖

state 1

  • open · 1 ✖

repo 1

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
822987300 MDU6SXNzdWU4MjI5ODczMDA= 5001 .min() doesn't work on np.datetime64 with a chunked Dataset ludwigVonKoopa 49512274 open 0     2 2021-03-05T11:12:19Z 2022-05-01T16:11:48Z   NONE      

Hi all,

if a xr.Dataset is chunked, i cannot do ds.time.min(), i get an error : ufunc 'add' cannot use operands with types dtype('<M8[ns]') and dtype('<M8[ns]'). I don't know if it is expected ? Moreover, ds2.time.mean() works

Thanks

What happened:

raised an UFuncTypeError: ufunc 'add' cannot use operands with types dtype('<M8[ns]') and dtype('<M8[ns]')

What you expected to happen:

compute the min & max on a chunked datetime64 xarray.DataArray

Minimal Complete Verifiable Example:

```python import xarray as xr import numpy as np

obs=200 t0 = np.datetime64("2010-01-01T00:00:00") tn = t0 + np.timedelta64(123*4, "D")

ds2 = xr.Dataset( { "time": (["obs"], np.arange(t0, tn, (tn-t0)/obs)), }, coords={ "obs": (["obs"], np.arange(obs)), }, ).chunk({"obs": 100})

ds2.time.min() ```

Anything else we need to know?:

ds2.time.mean() works, max & min raise Exception

Environment:

Output of <tt>xr.show_versions()</tt> INSTALLED VERSIONS ------------------ commit: None python: 3.7.9 (default, Aug 31 2020, 12:42:55) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 4.15.0-133-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: fr_FR.UTF-8 LOCALE: fr_FR.UTF-8 libhdf5: 1.12.0 libnetcdf: 4.7.4 xarray: 0.16.2 pandas: 1.2.1 numpy: 1.19.5 scipy: 1.6.0 netCDF4: 1.5.5.1 pydap: None h5netcdf: None h5py: None Nio: None zarr: 2.6.1 cftime: 1.3.1 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2021.01.1 distributed: 2021.01.1 matplotlib: 3.3.4 cartopy: None seaborn: None numbagg: None pint: 0.16.1 setuptools: 52.0.0.post20210125 pip: 20.3.3 conda: None pytest: 6.2.2 IPython: 7.20.0 sphinx: 3.5.0 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/5001/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
     xarray 13221727 issue

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE [issues] (
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [number] INTEGER,
   [title] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [state] TEXT,
   [locked] INTEGER,
   [assignee] INTEGER REFERENCES [users]([id]),
   [milestone] INTEGER REFERENCES [milestones]([id]),
   [comments] INTEGER,
   [created_at] TEXT,
   [updated_at] TEXT,
   [closed_at] TEXT,
   [author_association] TEXT,
   [active_lock_reason] TEXT,
   [draft] INTEGER,
   [pull_request] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [state_reason] TEXT,
   [repo] INTEGER REFERENCES [repos]([id]),
   [type] TEXT
);
CREATE INDEX [idx_issues_repo]
    ON [issues] ([repo]);
CREATE INDEX [idx_issues_milestone]
    ON [issues] ([milestone]);
CREATE INDEX [idx_issues_assignee]
    ON [issues] ([assignee]);
CREATE INDEX [idx_issues_user]
    ON [issues] ([user]);