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/2695#issuecomment-456239824,https://api.github.com/repos/pydata/xarray/issues/2695,456239824,MDEyOklzc3VlQ29tbWVudDQ1NjIzOTgyNA==,43613877,2019-01-22T01:25:55Z,2019-01-22T01:25:55Z,CONTRIBUTOR,"Thanks for the clarification! I think the `tolerance` argument might even be superior to the `limit` or to say the least, the resample methods would benefit from any of these arguments.

My above mentioned changes to the code, despite mixing up `limit` and `tolerance`, actually seem to implement the `tolerance` argument.

```python
import xarray as xr
import pandas as pd
import datetime as dt

dates=[dt.datetime(2018,1,1), dt.datetime(2018,1,2)]
data=[10,20]
df=pd.DataFrame(data,index=dates)
xdf = xr.Dataset.from_dataframe(df)
xdf.resample({'index':'1H'}).nearest(tolerance=dt.timedelta(hours=2))
```
would lead to

```
<xarray.Dataset>
Dimensions:  (index: 25)
Coordinates:
  * index    (index) datetime64[ns] 2018-01-01 ... 2018-01-02
Data variables:
    0        (index) float64 10.0 10.0 10.0 nan nan ... nan nan 20.0 20.0 20.0
```

Would that be helpful to include and write a pull request?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,401392318