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If I understand correctly, a cell in a Jupyter notebook can only render one output. In case of Daru this can be done by calling my_graph.show_in_iruby. In order to render multiple (n) plots in a single output, there's Daru::View::PlotList which constructs a table with n columns and a single row. If the individual plots are too big, this table would overflow and the user needs to scroll sideways (see attached screenshot).
Is there a better way to display multiple plots, especially without horizontal scrolling?
If not (and you are interested) I'd also take look into that, not sure if it suffices to give a num_cols parameter for the construction of the table to limit the number of columns, or wrap the individual plots inside a flexbox container.
The text was updated successfully, but these errors were encountered:
I think we need to have a css in our iruby template which generate the HTML code for the cell. It should not be much difficult but need to have bit knowledge of js, css dependency daru-view is using, so that in built css can be used here.
If I understand correctly, a cell in a Jupyter notebook can only render one output. In case of Daru this can be done by calling
my_graph.show_in_iruby
. In order to render multiple (n) plots in a single output, there'sDaru::View::PlotList
which constructs a table with n columns and a single row. If the individual plots are too big, this table would overflow and the user needs to scroll sideways (see attached screenshot).Is there a better way to display multiple plots, especially without horizontal scrolling?
If not (and you are interested) I'd also take look into that, not sure if it suffices to give a
num_cols
parameter for the construction of the table to limit the number of columns, or wrap the individual plots inside a flexbox container.The text was updated successfully, but these errors were encountered: