issue_comments: 658932130

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/issues/4228#issuecomment-658932130 https://api.github.com/repos/pydata/xarray/issues/4228 658932130 MDEyOklzc3VlQ29tbWVudDY1ODkzMjEzMA== 2448579 2020-07-15T18:32:36Z 2020-07-15T18:32:36Z MEMBER

You could do it with "advanced indexing" by providing a dataarray to the .sel or .isel methods: https://xarray.pydata.org/en/stable/indexing.html#more-advanced-indexing

``` python da = xr.DataArray([[1, 2, 3], [4,5,6]], dims=["coord1", "coord2"], coords={"coord2": [10, 20, 30], "coord1": [1,2]})

i1 = xr.DataArray([1, 0], dims=["z"], coords={"z": ["label1", "label2"]}) i2 = xr.DataArray([2, 1], dims=["z"], coords={"z": ["label1", "label2"]})

da.isel(coord1=i1, coord2=i2, drop=True).to_dataframe(name="asd") ```

asd z label1 6 label2 2

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   657466413