This is more of a feature request, or a "How do I..." question...
I use D-Tale to display and filter portfolio holdings. As a result, I'm often interested in aggregate values for the line items being displayed. For instance, total market value or weighted-means of yields, etc. Obviously, I can calculate those figures prior to displaying them in Jupyter with D-Tale. Over time, I've realized how useful it would the aggregate values could be recalculated in real time while interacting with the dataframe.
I understand that I can manually calculate the values (maybe not the weighted mean) using D-Tales' built-in functionality through the Summarize Data menu. However, besides not being automagic, the calculated values would not react to changes made to the source data table.
Are dynamically-calculated column totals possible to do with D-Tale? Or is such a thing out of scope for it?
Alternatively, is it possible to link a widget to D-Tale somehow so that the widget displays those values in a nearby cell?
This is more of a feature request, or a "How do I..." question... I use D-Tale to display and filter portfolio holdings. As a result, I'm often interested in aggregate values for the line items being displayed. For instance, total market value or weighted-means of yields, etc. Obviously, I can calculate those figures prior to displaying them in Jupyter with D-Tale. Over time, I've realized how useful it would the aggregate values could be recalculated in real time while interacting with the dataframe.
I understand that I can manually calculate the values (maybe not the weighted mean) using D-Tales' built-in functionality through the
Summarize Data
menu. However, besides not being automagic, the calculated values would not react to changes made to the source data table.Are dynamically-calculated column totals possible to do with D-Tale? Or is such a thing out of scope for it?
Alternatively, is it possible to link a widget to D-Tale somehow so that the widget displays those values in a nearby cell?
Any help would be appreciated.