https://github.com/bloomberg/ipydatagrid/issues/230
Needs changes upstream (lumino/datagrid
), difficult to get a sense of the time needed to get this feature
Was done in beakerx_tabledisplay
, it should be easy to port to ipydatagrid
or lumino/datagrid
https://github.com/bloomberg/ipydatagrid/issues/210
Implemented upstream https://github.com/jupyterlab/lumino/pull/140 and released in lumino/datagrid
0.17, ipydatagrid
already updated https://github.com/bloomberg/ipydatagrid/blob/main/package.json#L62, so it should already work. We need to investigate why it doesn't work.
lumino/datagrid
seems to already support date editing with a date picker, it seems to be ipydatagrid which does not pass the right data type (it considers date fields as string
types). This might be a Python side fix in ipydatagrid
, setting the schema properly.
This is already supported by lumino/datagrid
, again this might be a matter of making sure the data type is set properly
Needs more context on what would be done with the selection.
Would be feasible with a roundtrip to the kernel. Needs changes upstream?
https://github.com/bloomberg/ipydatagrid/issues/238
Shouldn't require changes upstream, we already have lots of filtering logic. Might not be too difficult.
ipydatagrid
is suffering from performances degradation in JupyterLab compared to Jupyter Notebook, we could investigate on this.
It is also suffering from performances degradation in Jupyter Notebook when we compare to the first ipydatagrid
versions.