Comments (2)
Ok, so we can certainly include both of the files in the labextension folder. The main question is: if we just copy the .tgz into the labextension folder, how do we make it so jlab 2 actually discovers the lab extension?
I think it might have to do with the keywords
in the setup.py, which gets put in the metadata. Can we put all of these words? If so, what happens?
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If we do this successfully, we can get rid of the mitosheet2
package. We would just be left maintaining the mitosheet and mitosheet3 packages (and the latter only because most of our active users are on this one).
More than that, though, this might be able to simplify a lot of our build process. We will see. I def want to figure out if this is possible.
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Related Issues (20)
- mitosheet.sheet(dfs[0]) leads to execution error on every edit event HOT 1
- Promote row to header leads to endless execution errors with NaN column headers HOT 1
- Using option + arrow key to switch sheet tabs cannot open graphs.
- Cannot scroll suggestion box or cell editor into view
- Cannot open formula bar editor if floating cell editor is open HOT 1
- Notebook 7 Support HOT 1
- Oracle Cloud Jupyter Lab Support HOT 1
- Streamlit iframe height is calculated incorrectly on Safari in Streamlit 1.32.0 HOT 5
- ('ABC, 90') shows up as ABC, 90 in Mito
- Select data for graph taskpane gets cutoff and is unscrollable HOT 1
- Conditional formatting with no color text set breaks export formatting
- Height param to Spreadsheet should accept "900px" and "900"
- New line character in column headers causes operations to error
- Singe cell references are broken with string indexes
- Integrate with NiceGUI HOT 2
- Not working with streamlit.file_uploader HOT 4
- Conditional format on streamlit requires two clicks
- Problem file reads in st.dataframe but not Mio HOT 1
- autofit or wrap cells automatically to fit long text? HOT 1
- Numpy 2.0 Released - `np.NaN` was removed in the NumPy 2.0 release. Use `np.nan` instead HOT 1
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