Comments (3)
Not possible yet, but that's a cool idea. Soon you'll be able to edit the values in the data frame thanks to this pull request: #27 but filters don't cause rows to be added/removed from the data frame.
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Hi @dacoex, what you're asking for is almost possible now. show_grid
is a convenience function, and in the latest version of qgrid you can use the widget object directly to render a qgrid, like so:
from IPython.display import display
grid = qgrid.QGridWidget(df=spy)
display(grid) #alternative to show_grid
This would allow you get the underlying DataFrame object using grid.df
and then you could pass it into your plot function as you did with df_new
in your example. The only problem left is I doubt that your plotting library would automatically pick up on the edits to the DataFrame until you rerun the cell to generate the plot again. So I think you'll find that after you make edits, you'll need to execute the cell with the scatter
function again to re-plot the DataFrame.
I'm sure it's possible to automate that but it would be specific to the plotting library. For that reason I don't think it's a problem that would be worthwhile for this project, so I'm closing this issue.
from qgrid.
thanks!.
from qgrid.
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