Comments (2)
Particularly with Datasets, I definitely would prefer to just provide a single command/attribute to set the entire thing. I haven't thought through datatrees very carefully yet, but I think the same thing applies. My main goal of compression is to save space on my harddrive and having a single setting seems easier to me.
I also don't really understand why I would ever want to have different compression levels for individual DataArrays in a Dataset or datatree.
For context, I mostly save data as float32/64 and occasionally int64/32.
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Or is recommended practice to update the compression info for each DataArray? (The second answer to the above link)
I'll just say that this is the approach I've been taking.
However, I do think there is some room for improvement to the current api. The challenge of course is that the per-variable or per-dataset encoding dictionary needs to map to tree structure. In practice these nested-dict data structures are unruly to work with and I've found myself finding plenty of functionality in the DataArray.encoding
approach.
@jwbrooks0 - I'm curious if you have thoughts on a possible api that meets your use case? Do you agree that a nested-dict of encoding parameters is less than ideal from an end-user perspective?
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Related Issues (20)
- Resolve dimension coordinates from parents HOT 8
- Tree linkage + dataset in one object nonideal for UI tree view HOT 6
- v0.0.14 not on pypi HOT 1
- setting node name breaks tree linkage HOT 7
- When creating a DataTree from a Dataset with path-like variable, subgroups are expected to be created HOT 7
- Actually you're right, I don't know if the docs currently mention anywhere that assigning to `.ds` is allowed!
- Typing: `DataTree[Unknown]`
- `drop_vars` issue?
- Creating DataTree from DataArrays
- Opening a datatree from S3 bucket HOT 1
- Typing issue: Pylance complains with DataTree inequalities HOT 1
- open_datatree() keeps the hdf file open preventing writes HOT 1
- open_datatree() from zarr creates issues with `kwargs` HOT 4
- `open_datatree` performance HOT 2
- decision analysis in datatree?
- Collapse by default the "Attributes" section in rich display
- Add an `attrs` keyword argument to the constructor: `DataTree(attrs={})`
- Describe a DataTree: adidng visualization and summarization capabilities
- Rich display width is broken HOT 4
- Auto-plotting capabilities
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