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/5075#issuecomment-832793635,https://api.github.com/repos/pydata/xarray/issues/5075,832793635,MDEyOklzc3VlQ29tbWVudDgzMjc5MzYzNQ==,5567953,2021-05-05T15:40:30Z,2021-05-05T15:40:30Z,NONE,"A ""close enough"" option can take care of issues such as in `xarray.where`  in situations where the coordinates are very close but not exactly matched ([here](https://stackoverflow.com/questions/67376150/multidimensional-xarray-where-dorps-coordinates)) (e.g. due to Geotif roudning, [here ](https://github.com/corteva/rioxarray/discussions/332)) . ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,841012076
https://github.com/pydata/xarray/issues/5075#issuecomment-832696002,https://api.github.com/repos/pydata/xarray/issues/5075,832696002,MDEyOklzc3VlQ29tbWVudDgzMjY5NjAwMg==,8699967,2021-05-05T13:40:07Z,2021-05-05T13:40:07Z,CONTRIBUTOR,"Yes, the alignment stuff in there should do the trick.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,841012076
https://github.com/pydata/xarray/issues/5075#issuecomment-832689807,https://api.github.com/repos/pydata/xarray/issues/5075,832689807,MDEyOklzc3VlQ29tbWVudDgzMjY4OTgwNw==,14808389,2021-05-05T13:31:52Z,2021-05-05T13:31:52Z,MEMBER,if I understand the issue correctly this will be fixed by the index refactor (see https://github.com/pydata/xarray/pull/4489#issuecomment-831809607),"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,841012076
https://github.com/pydata/xarray/issues/5075#issuecomment-832685060,https://api.github.com/repos/pydata/xarray/issues/5075,832685060,MDEyOklzc3VlQ29tbWVudDgzMjY4NTA2MA==,8699967,2021-05-05T13:25:23Z,2021-05-05T13:25:23Z,CONTRIBUTOR,"I think it would be nice for xarray to have a ""close enough"" option where a certain number of decimal places is enough to consider them equal. Is there an issue somewhere where this is under consideration or is there an option already in existence that I missed?","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,841012076
https://github.com/pydata/xarray/issues/5075#issuecomment-832684387,https://api.github.com/repos/pydata/xarray/issues/5075,832684387,MDEyOklzc3VlQ29tbWVudDgzMjY4NDM4Nw==,8699967,2021-05-05T13:24:34Z,2021-05-05T13:24:34Z,CONTRIBUTOR,Also related: https://github.com/corteva/rioxarray/discussions/332,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,841012076
https://github.com/pydata/xarray/issues/5075#issuecomment-820578700,https://api.github.com/repos/pydata/xarray/issues/5075,820578700,MDEyOklzc3VlQ29tbWVudDgyMDU3ODcwMA==,8699967,2021-04-15T16:49:34Z,2021-04-15T16:49:34Z,CONTRIBUTOR,"Similarly at https://github.com/corteva/rioxarray/issues/298#issuecomment-820557568

```python
np.abs(resampled.x.values - da2.x.values).max(), np.abs(resampled.y.values - da2.y.values).max()
```
```
(4.000014541816199e-09, 6.666663665555461e-09)
```
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,841012076
https://github.com/pydata/xarray/issues/5075#issuecomment-820575552,https://api.github.com/repos/pydata/xarray/issues/5075,820575552,MDEyOklzc3VlQ29tbWVudDgyMDU3NTU1Mg==,8699967,2021-04-15T16:46:15Z,2021-04-15T16:48:51Z,CONTRIBUTOR,"For the original post for this issue [ref](https://github.com/pydata/xarray/issues/5075#issue-841012076):
```
np.abs(raster_in.x.values - out_grid.x.values).max(), np.abs(raster_in.y.values - out_grid.y.values).max()
```
```
(1.7763568394002505e-15, 7.105427357601002e-15)
```

Looks like there is a tiny difference in decimal precision.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,841012076
https://github.com/pydata/xarray/issues/5075#issuecomment-820560634,https://api.github.com/repos/pydata/xarray/issues/5075,820560634,MDEyOklzc3VlQ29tbWVudDgyMDU2MDYzNA==,8699967,2021-04-15T16:23:28Z,2021-04-15T16:23:28Z,CONTRIBUTOR,"Similar issue here: https://github.com/corteva/rioxarray/issues/298

Reproducible example in the issue ^^","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,841012076
https://github.com/pydata/xarray/issues/5075#issuecomment-808754517,https://api.github.com/repos/pydata/xarray/issues/5075,808754517,MDEyOklzc3VlQ29tbWVudDgwODc1NDUxNw==,14808389,2021-03-27T16:04:14Z,2021-03-27T16:04:14Z,MEMBER,"could you also show `raster_in` by itself so we can fully reproduce? I *was* thinking that there were tiny differences in `x` and `y`, but
```python
a = xr.open_dataset(""out_grid_process_value.nc"")
b = xr.open_dataset(""rasterized_vector.nc"")
xr.testing.assert_equal(a[[""id""]], b)
```
shows that the coordinates are equal so that's not the issue.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,841012076
https://github.com/pydata/xarray/issues/5075#issuecomment-808747264,https://api.github.com/repos/pydata/xarray/issues/5075,808747264,MDEyOklzc3VlQ29tbWVudDgwODc0NzI2NA==,18444902,2021-03-27T15:10:59Z,2021-03-27T15:10:59Z,NONE,"Below my code
```
import geopandas
import rioxarray
from geocube.api.core import make_geocube

# Read input_vector and create a GeoDataFrame
vector_in = geopandas.read_file(input_vector)

# Read raster data
raster_in = rioxarray.open_rasterio(input_raster)

# Create GeoCube
out_grid = make_geocube(
    vector_data=vector_in,
    measurements=[""id""],
    like=raster_in, 
)
out_grid.to_netcdf(""rasterized_vector.nc"")

# Add raster_in to geocube
out_grid[""process_value""] = raster_in
out_grid.to_netcdf(""out_grid_process_value.nc"")
```
[Here](https://drive.google.com/file/d/1aQ8BTBg0loce1moR2Z2KMPv7wFufuiJy/view?usp=sharing) there are two netCDF with output data.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,841012076
https://github.com/pydata/xarray/issues/5075#issuecomment-808146577,https://api.github.com/repos/pydata/xarray/issues/5075,808146577,MDEyOklzc3VlQ29tbWVudDgwODE0NjU3Nw==,14808389,2021-03-26T11:37:55Z,2021-03-26T16:00:40Z,MEMBER,"the issue is that the code example you gave both there and here does not directly use `xarray` so debugging is difficult. Could you post the `repr` of `raster_in` and `out_grid`? If you can, saving both `raster_in` and `out_grid` to netCDF and attaching them to a comment might also help.

Without looking at the data I can't confirm, but I suspect this is a alignment issue. If so, we do have a open PR (not merged, yet, unfortunately) which added a tolerance kwarg to `align` and could fix this.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,841012076
https://github.com/pydata/xarray/issues/5075#issuecomment-808023327,https://api.github.com/repos/pydata/xarray/issues/5075,808023327,MDEyOklzc3VlQ29tbWVudDgwODAyMzMyNw==,18444902,2021-03-26T08:08:10Z,2021-03-26T08:08:10Z,NONE,"All do you need is on the first linked issue, so [here](https://github.com/corteva/geocube/issues/62). You can find QGIS project with data example.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,841012076
https://github.com/pydata/xarray/issues/5075#issuecomment-807595841,https://api.github.com/repos/pydata/xarray/issues/5075,807595841,MDEyOklzc3VlQ29tbWVudDgwNzU5NTg0MQ==,5635139,2021-03-25T22:11:59Z,2021-03-25T22:11:59Z,MEMBER,"Please could you create a minimally reproducible example, as per the issue template?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,841012076