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/2145#issuecomment-390267025,https://api.github.com/repos/pydata/xarray/issues/2145,390267025,MDEyOklzc3VlQ29tbWVudDM5MDI2NzAyNQ==,22245117,2018-05-18T16:50:47Z,2018-05-22T19:18:34Z,CONTRIBUTOR,"In my previous comment I said that this would be useful for staggered grids, but then I realized that resample only operates on the time dimension. Anyway, here is my example:

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

# Create coordinates
time  = pd.date_range('1/1/2018', periods=365, freq='D')
space = pd.np.arange(10)

# Create random variables
var_withtime1 = np.random.randn(len(time), len(space))
var_withtime2 = np.random.randn(len(time), len(space))
var_timeless1 = np.random.randn(len(space))
var_timeless2 = np.random.randn(len(space))

# Create dataset
ds = xr.Dataset({'var_withtime1': (['time', 'space'], var_withtime1),
                 'var_withtime2': (['time', 'space'], var_withtime2),
                 'var_timeless1': (['space'], var_timeless1),
                 'var_timeless2': (['space'], var_timeless2)},
                coords={'time': (['time',], time),
                        'space': (['space',], space)})

# Standard resample: this add the time dimension to the timeless variables
ds_resampled = ds.resample(time='1M').mean()

# My workaround: this does not add the time dimension to the timeless variables
ds_withtime = ds.drop([ var for var in ds.variables if not 'time' in ds[var].dims ])
ds_timeless = ds.drop([ var for var in ds.variables if     'time' in ds[var].dims ])
ds_workaround = xr.merge([ds_timeless, ds_withtime.resample(time='1M').mean()])
```

Datasets:
```
>>> ds
<xarray.Dataset>
Dimensions:        (space: 10, time: 365)
Coordinates:
  * time           (time) datetime64[ns] 2018-01-01 2018-01-02 2018-01-03 ...
  * space          (space) int64 0 1 2 3 4 5 6 7 8 9
Data variables:
    var_withtime1  (time, space) float64 -1.137 -0.5727 -1.287 0.8102 ...
    var_withtime2  (time, space) float64 1.406 0.8448 1.276 0.02579 0.5684 ...
    var_timeless1  (space) float64 0.02073 -2.117 -0.2891 1.735 -1.535 0.209 ...
    var_timeless2  (space) float64 0.4357 -0.3257 -0.8321 0.8409 0.1454 ...

>> ds_resampled
<xarray.Dataset>
Dimensions:        (space: 10, time: 12)
Coordinates:
  * time           (time) datetime64[ns] 2018-01-31 2018-02-28 2018-03-31 ...
  * space          (space) int64 0 1 2 3 4 5 6 7 8 9
Data variables:
    var_withtime1  (time, space) float64 0.08149 0.02121 -0.05635 0.1788 ...
    var_withtime2  (time, space) float64 0.08991 0.5728 0.05394 0.214 0.3523 ...
    var_timeless1  (time, space) float64 0.02073 -2.117 -0.2891 1.735 -1.535 ...
    var_timeless2  (time, space) float64 0.4357 -0.3257 -0.8321 0.8409 ...

>>> ds_workaround
<xarray.Dataset>
Dimensions:        (space: 10, time: 12)
Coordinates:
  * space          (space) int64 0 1 2 3 4 5 6 7 8 9
  * time           (time) datetime64[ns] 2018-01-31 2018-02-28 2018-03-31 ...
Data variables:
    var_timeless1  (space) float64 0.4582 -0.6946 -0.3451 1.183 -1.14 0.1849 ...
    var_timeless2  (space) float64 1.658 -0.1719 -0.2202 -0.1789 -1.247 ...
    var_withtime1  (time, space) float64 -0.3901 0.3725 0.02935 -0.1315 ...
    var_withtime2  (time, space) float64 0.07145 -0.08536 0.07049 0.1025 ...
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,323839238