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/3538#issuecomment-1115270202,https://api.github.com/repos/pydata/xarray/issues/3538,1115270202,IC_kwDOAMm_X85Ceaw6,2448579,2022-05-02T19:20:24Z,2022-05-02T19:20:24Z,MEMBER,Closing as duplicate of #2916. Eventually this will be fixed by datatree,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,523572262
https://github.com/pydata/xarray/issues/3538#issuecomment-1114752357,https://api.github.com/repos/pydata/xarray/issues/3538,1114752357,IC_kwDOAMm_X85CccVl,26384082,2022-05-02T11:37:47Z,2022-05-02T11:37:47Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity

If this issue remains relevant, please comment here or remove the `stale` label; otherwise it will be marked as closed automatically
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,523572262
https://github.com/pydata/xarray/issues/3538#issuecomment-612165732,https://api.github.com/repos/pydata/xarray/issues/3538,612165732,MDEyOklzc3VlQ29tbWVudDYxMjE2NTczMg==,23484003,2020-04-10T18:47:02Z,2020-04-10T18:47:02Z,NONE,"I hacked a quick solution for exploring HDF5 files that might be of interest.
```
import h5py
def explore_file(filepath,show=""arrays""):
    """"""
    View the internal structure of an HDF5 file
    Returns a dictionary of the entity names & representations of their values
    Arguments:
        filepath: string
        show: one of ('groups','arrays','all')
            groups: display the number of direct array-type members of each group/subgroup
            arrays: display the shape & dtype of each array (if not a scalar)
            all: display the shape & dtype of every array
    """"""
    with h5py.File(filepath,mode='r') as f:
        descriptions = {}
        if show==""groups"":
            def visitor(k,v):
                if isinstance(v, h5py.Group):
                    arrays = [k for k in v.keys() if isinstance(v[k],h5py.Dataset)]
                    if len(arrays) >0:
                        descriptions[k] = len(arrays)
        elif show == ""arrays"":
            def visitor(k,v):
                if isinstance(v,h5py.Dataset) and len(v.shape)>0:
                    descriptions[k] = ""{},{}"".format(v.shape,v.dtype)
        elif show ==""all"":
            def visitor(k,v):
                if isinstance(v,h5py.Dataset):
                    descriptions[k] = ""{},{}"".format(v.shape,v.dtype)
        f.visititems(visitor)#Apply names.append to each name in the file
    return descriptions
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,523572262
https://github.com/pydata/xarray/issues/3538#issuecomment-554454722,https://api.github.com/repos/pydata/xarray/issues/3538,554454722,MDEyOklzc3VlQ29tbWVudDU1NDQ1NDcyMg==,1217238,2019-11-15T17:33:42Z,2019-11-15T17:33:42Z,MEMBER,"This has come up a couple of times before -- please see https://github.com/pydata/xarray/issues/2916 and https://github.com/pydata/xarray/issues/1092.

The basic issue is that xarray.Dataset doesn't have any notion of a `group` in it, so it isn't clear how we could work in xarray.

If it's just a matter of listing groups that  can be found in a file, it  seems like netCDF4 works fine for  that.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,523572262