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Add support for n-dimensional datasets #4

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telamonian opened this issue Aug 20, 2019 · 1 comment · Fixed by #41
Closed

Add support for n-dimensional datasets #4

telamonian opened this issue Aug 20, 2019 · 1 comment · Fixed by #41
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type:enhancement
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0.5.0

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@telamonian
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nd datasets can be supported by allowing the user to specify a desired 2D slice via an input box on the toolbar and a numpy-like slicing syntax. The default slice would be something like

[:, :, 0, 0, 0, 0, etc]
@telamonian telamonian mentioned this issue Aug 21, 2019
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JonjonHays added a commit to JonjonHays/jupyterlab-hdf5 that referenced this issue Oct 15, 2019
@JonjonHays
WIP jupyterlab#4: Adds n-dimensional support to backend server extension
759fa3d
JonjonHays added a commit to JonjonHays/jupyterlab-hdf5 that referenced this issue Oct 15, 2019
@JonjonHays
WIP jupyterlab#4: Frontend compatibility for n-dimensional backend ch…
013e9f4 
…anges
@loichuder
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@telamonian @JonjonHays Any progress on this ? I can help if needed.

@telamonian telamonian mentioned this issue Sep 30, 2020
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@telamonian telamonian mentioned this issue Nov 17, 2020
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@telamonian telamonian added this to the 0.5.0 milestone Dec 15, 2020
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n-dimensional support via parse_index jupyterlab/jupyterlab-hdf5
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@telamonian @loichuder