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/6490#issuecomment-1101518164,https://api.github.com/repos/pydata/xarray/issues/6490,1101518164,IC_kwDOAMm_X85Bp9VU,15319503,2022-04-18T15:54:30Z,2022-04-18T15:54:30Z,NONE,"Thanks @dcherian @max-sixty. 

I solved the issue with re-installing `xarray` and `cfgrib`  individually and re-starting the kernel.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1206496679
https://github.com/pydata/xarray/issues/6490#issuecomment-1101061409,https://api.github.com/repos/pydata/xarray/issues/6490,1101061409,IC_kwDOAMm_X85BoN0h,15319503,2022-04-18T03:38:43Z,2022-04-18T03:38:43Z,NONE,"> @javedali99 please could you supply an MVCE?

```python
# download data
for yr in range(2011,2015): 
    url = f'https://downloads.psl.noaa.gov/Datasets/cpc_us_precip/RT/precip.V1.0.{yr}.nc'
    savename = url.split('/')[-1]
    urllib.request.urlretrieve(url,savename)

# combine netcdf files
ds2011_2014 = xr.open_mfdataset('precip.V1.0.*.nc', concat_dim='time', combine='nested')

# coordinates
top = 40
bottom = 37
left = 258
right = 265.4 

# subsetting the data based on boundary coordinates
ds_sel = ds2011_2014.isel(lon=(ds2011_2014.lon >= left) & (ds2011_2014.lon <= right),
                          lat=(ds2011_2014.lat >= bottom) & (ds2011_2014.lat <= top),
                          )
```
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1206496679