html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/7818#issuecomment-1536431418,https://api.github.com/repos/pydata/xarray/issues/7818,1536431418,IC_kwDOAMm_X85blBU6,43635101,2023-05-05T15:32:25Z,2023-05-05T15:34:20Z,NONE,Might be related to https://github.com/dask/distributed/issues/6402,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1697705761
https://github.com/pydata/xarray/issues/7662#issuecomment-1480973335,https://api.github.com/repos/pydata/xarray/issues/7662,1480973335,IC_kwDOAMm_X85YRdwX,43635101,2023-03-23T10:51:27Z,2023-03-23T10:51:27Z,NONE,"Values outside of the month are filled with NaN when aggregating after your month filter.
It seems to be a side effect of grouping with a frequency.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1636435706
https://github.com/pydata/xarray/issues/7662#issuecomment-1480964097,https://api.github.com/repos/pydata/xarray/issues/7662,1480964097,IC_kwDOAMm_X85YRbgB,43635101,2023-03-23T10:44:26Z,2023-03-23T10:46:22Z,NONE,"Idk if this comes from xarray, pandas seems to have the same behaviour:

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

time = pd.date_range(""2000-01-01"", ""2022-01-01"", freq=""1h"")
ds = xr.Dataset({""time"": time, ""v"": (""time"",np.random.rand(len(time)))})
ds

df = ds.to_dataframe()
df = df[df.index.month.isin([6,7,8])]
df.groupby(pd.Grouper(freq=""D"")).mean()

                   v
time                
2000-06-01  0.451577
2000-06-02  0.524039
2000-06-03  0.540553
2000-06-04  0.537686
2000-06-05  0.521928
...              ...
2021-08-27  0.441088
2021-08-28  0.473274
2021-08-29  0.455666
2021-08-30  0.559104
2021-08-31  0.424167

[7762 rows x 1 columns]
```

You can select your months after performing aggregation and you will have the correct number of rows","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1636435706
https://github.com/pydata/xarray/issues/6412#issuecomment-1081859463,https://api.github.com/repos/pydata/xarray/issues/6412,1081859463,IC_kwDOAMm_X85Ae92H,43635101,2022-03-29T13:16:43Z,2022-03-29T13:18:37Z,NONE,"I'm using xarray on a Dataset & it's convenient for me to make calculation using DataArray. Here when I want to retrieve the year of datetime, instead of casting back to an array of object & using datetime.year, it's handy to use built-in numpy datetime64 conversion.

It's really confusing astype is not working like numpy does. If you want to keep this behavious maybe add a warning in the docs and log a warning aswell.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1180565228