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/2356#issuecomment-542257276,https://api.github.com/repos/pydata/xarray/issues/2356,542257276,MDEyOklzc3VlQ29tbWVudDU0MjI1NzI3Ng==,2448579,2019-10-15T15:01:33Z,2019-10-15T15:01:33Z,MEMBER,Fixed in 0.13.0,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,349077990
https://github.com/pydata/xarray/issues/2356#issuecomment-412382654,https://api.github.com/repos/pydata/xarray/issues/2356,412382654,MDEyOklzc3VlQ29tbWVudDQxMjM4MjY1NA==,6815844,2018-08-13T00:32:02Z,2018-08-13T00:32:02Z,MEMBER,"Thanks, @dcherian.
It looks the original API was designed mainly for 1d arrays, and documentation does not describe clearly how to apply them to multi-dimensional arrays.

I split this issue into two, #2362 and #2363.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,349077990
https://github.com/pydata/xarray/issues/2356#issuecomment-412331569,https://api.github.com/repos/pydata/xarray/issues/2356,412331569,MDEyOklzc3VlQ29tbWVudDQxMjMzMTU2OQ==,2448579,2018-08-12T09:58:09Z,2018-08-12T09:58:09Z,MEMBER,"Oh sorry, i was mistaken. Looks like pandas does not require the repeated dimension. https://pandas.pydata.org/pandas-docs/stable/timeseries.html#resampling

The current API works like `groupby` but i don't think that was the original intent (#1269 #1272). ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,349077990
https://github.com/pydata/xarray/issues/2356#issuecomment-412249701,https://api.github.com/repos/pydata/xarray/issues/2356,412249701,MDEyOklzc3VlQ29tbWVudDQxMjI0OTcwMQ==,6815844,2018-08-11T04:22:06Z,2018-08-11T04:22:06Z,MEMBER,"BTW, is this API (repeated dimension names) intended?
I am slightly wondering that this is a little different from the `rolling` counterpart.
In rolling, we do
`ds.rolling(time=3).sum()`,
we do not need to (cannot) specify the dimension name in `sum`.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,349077990
https://github.com/pydata/xarray/issues/2356#issuecomment-412249612,https://api.github.com/repos/pydata/xarray/issues/2356,412249612,MDEyOklzc3VlQ29tbWVudDQxMjI0OTYxMg==,6815844,2018-08-11T04:19:40Z,2018-08-11T04:19:40Z,MEMBER,"> Is the argument time='M' only mean to be freqency='M'? 

It means resampling with frequency='M' *along coordinate named 'time'.

> what would be the syntax of your command, if the time dimension has the name 'TIMES'?

It should be 
```python
data[""TOT_PREC""].resample(TIMES=""M"").sum(dim='TIMES')
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,349077990
https://github.com/pydata/xarray/issues/2356#issuecomment-412109805,https://api.github.com/repos/pydata/xarray/issues/2356,412109805,MDEyOklzc3VlQ29tbWVudDQxMjEwOTgwNQ==,2448579,2018-08-10T15:02:00Z,2018-08-10T15:02:00Z,MEMBER,"The repeated dimension follows pandas syntax. It's nice because the syntax is similar to the usual reduction `DataArray.sum()`.

`.resample(TIMES='M').sum(dim='TIMES')` should work as long as `TIMES` is datetime64.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,349077990
https://github.com/pydata/xarray/issues/2356#issuecomment-412056121,https://api.github.com/repos/pydata/xarray/issues/2356,412056121,MDEyOklzc3VlQ29tbWVudDQxMjA1NjEyMQ==,30219501,2018-08-10T11:30:45Z,2018-08-10T11:30:45Z,NONE,"Thank you @dcherian . Do you think, that two times giving the dimension time as argument is useful?

**OR MAYBE i understand everything wrong:**
Is the argument time='M' only mean to be freqency='M'? And the name for the time dimension is now given by the argument ""dim""? 
Or let me ask the question different: what would be the syntax of your command, if the time dimension has the name 'TIMES'?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,349077990
https://github.com/pydata/xarray/issues/2356#issuecomment-411923961,https://api.github.com/repos/pydata/xarray/issues/2356,411923961,MDEyOklzc3VlQ29tbWVudDQxMTkyMzk2MQ==,2448579,2018-08-09T22:57:06Z,2018-08-09T22:57:06Z,MEMBER,"`datamonth = data[""TOT_PREC""].resample(time=""M"").sum(dim='time')` should do what you want.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,349077990