issue_comments: 399071095

This data as json

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/pull/2236#issuecomment-399071095 https://api.github.com/repos/pydata/xarray/issues/2236 399071095 MDEyOklzc3VlQ29tbWVudDM5OTA3MTA5NQ== 30219501 2018-06-21T11:26:45Z 2018-06-21T12:03:23Z NONE

!!!Correction!!!. The resample-example above gives also a missing lon-lat dimensions in case of unmodified model code. The resulting numbers are the same.

data_aggreg = data["TOT_PREC"].resample(time="M").sum() data_aggreg <xarray.DataArray 'TOT_PREC' (time: 5)> array([ 551833.25 , 465640.09375, 328445.90625, 836892.1875 , 503601.5 ], dtype=float32) Coordinates: * time (time) datetime64[ns] 2006-05-31 2006-06-30 2006-07-31 ...

Now I am a little bit puzzled. But ...

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!IT SEEMS TO BE A BUG!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

If I do the resample process using the old nomenclature: data_aggreg = data["TOT_PREC"].resample(dim="time",how="sum",freq="M") it works. DO we have a bug in xarray?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   333248242