issue_comments: 507396912

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/3068#issuecomment-507396912 https://api.github.com/repos/pydata/xarray/issues/3068 507396912 MDEyOklzc3VlQ29tbWVudDUwNzM5NjkxMg== 1828519 2019-07-01T19:38:06Z 2019-07-01T19:38:06Z CONTRIBUTOR

Ok I'm getting a little more of an understanding on this. The main issue is that the dask array is not literally considered the same object because I'm creating the object twice. If I create a single dask array and pass it:

python lons = da.zeros((10, 10), chunks=2) a = xr.DataArray(da.zeros((10, 10), chunks=2), dims=('y', 'x'), coords={'y': np.arange(10), 'x': np.arange(10), 'lons': (('y', 'x'), lons)}) b = xr.DataArray(da.zeros((10, 10), chunks=2), dims=('y', 'x'), coords={'y': np.arange(10), 'x': np.arange(10), 'lons': (('y', 'x'), lons)})

I still get the progress bar because xarray is creating two new DataArray objects for this lons coordinate. So lons_data_arr.variable._data is not lons_data_arr2.variable._data causing the equivalency check here to fail.

If I make a single DataArray that becomes the coordinate variable then it seems to work:

python lons2 = xr.DataArray(lons, dims=('y', 'x')) a = xr.DataArray(da.zeros((10, 10), chunks=2), dims=('y', 'x'), coords={'y': np.arange(10), 'x': np.arange(10), 'lons': (('y', 'x'), lons2)}) b = xr.DataArray(da.zeros((10, 10), chunks=2), dims=('y', 'x'), coords={'y': np.arange(10), 'x': np.arange(10), 'lons': (('y', 'x'), lons2)})

I get no progress bar. ```

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   462859457